diff --git "a/openvino_model.xml" "b/openvino_model.xml"
--- "a/openvino_model.xml"
+++ "b/openvino_model.xml"
@@ -36,13 +36,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Constant_432625" type="Const" version="opset1">
+		<layer id="4" name="Constant_52102" type="Const" version="opset1">
 			<data element_type="f32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="5" name="ShapeOf_432611" type="ShapeOf" version="opset3">
+		<layer id="5" name="ShapeOf_52076" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="I64">
@@ -56,7 +56,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6" name="Constant_432613" type="Const" version="opset1">
+		<layer id="6" name="Constant_52078" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -64,13 +64,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7" name="Constant_432615" type="Const" version="opset1">
+		<layer id="7" name="Constant_52080" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="8" name="Gather_432616" type="Gather" version="opset8">
+		<layer id="8" name="Gather_52081" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -87,7 +87,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="9" name="Constant_432618" type="Const" version="opset1">
+		<layer id="9" name="Constant_52095" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="12" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -95,7 +95,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="Constant_432620" type="Const" version="opset1">
+		<layer id="10" name="Constant_52097" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -103,7 +103,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="11" name="Constant_432622" type="Const" version="opset1">
+		<layer id="11" name="Constant_52099" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -111,7 +111,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="Concat_432623" type="Concat" version="opset1">
+		<layer id="12" name="Concat_52100" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -133,7 +133,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="Broadcast_432626" type="Broadcast" version="opset3">
+		<layer id="13" name="Broadcast_52103" type="Broadcast" version="opset3">
 			<data mode="numpy" />
 			<input>
 				<port id="0" precision="FP32" />
@@ -150,7 +150,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="ReadValue_417408" type="ReadValue" version="opset6">
+		<layer id="14" name="ReadValue_49860" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.9.valuepresent.9.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -169,13 +169,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="Constant_401947" type="Const" version="opset1">
+		<layer id="15" name="Constant_47386" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="16" name="Gather_401948" type="Gather" version="opset8">
+		<layer id="16" name="Gather_47387" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -207,7 +207,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="Convert_448844" type="Convert" version="opset1">
+		<layer id="18" name="Convert_175960" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -231,7 +231,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="Convert_448847" type="Convert" version="opset1">
+		<layer id="20" name="Convert_175963" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -293,8 +293,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="24" name="self.model.gpt_neox.embed_in.weight/fq_weights_0/convert" type="Convert" version="opset1">
+		<layer id="24" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>50432</dim>
@@ -308,7 +311,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="25" name="__module.model.gpt_neox.embed_in/aten::embedding/Convert" type="Convert" version="opset1">
+		<layer id="25" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Convert_1" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="I64">
@@ -323,13 +326,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="26" name="__module.model.gpt_neox.embed_in/aten::embedding/Constant" type="Const" version="opset1">
+		<layer id="26" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Constant" type="Const" version="opset1">
 			<data element_type="i32" shape="" offset="0" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="27" name="__module.model.gpt_neox.embed_in/aten::embedding/Gather" type="Gather" version="opset8">
+		<layer id="27" name="__module.model.gpt_neox.embed_in/ov_ext::embedding/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -343,14 +346,14 @@
 				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="306,input.1">
+				<port id="3" precision="FP32" names="296,inputs_embeds">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="28" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="28" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -378,7 +381,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="30" name="Constant_325188" type="Const" version="opset1">
+		<layer id="30" name="Constant_36902" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 1, 2560" offset="129257248" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
@@ -388,7 +391,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="31" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="31" name="__module.model.gpt_neox.layers.0.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -410,7 +413,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="32" name="Constant_325189" type="Const" version="opset1">
+		<layer id="32" name="Constant_36903" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 1, 2560" offset="129267488" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
@@ -435,7 +438,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="315">
+				<port id="2" precision="FP32" names="381,hidden_states.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
@@ -452,7 +455,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="35" name="Convert_448854" type="Convert" version="opset1">
+		<layer id="35" name="Convert_176619" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -479,7 +482,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="37" name="Convert_448856" type="Convert" version="opset1">
+		<layer id="37" name="Convert_176621" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -550,7 +553,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="41" name="Constant_448861" type="Const" version="opset1">
+		<layer id="41" name="Constant_176626" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="139492128" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -558,7 +561,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="42" name="Reshape_448862" type="Reshape" version="opset1">
+		<layer id="42" name="Reshape_176627" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -592,7 +595,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="44" name="__module.model.gpt_neox.layers.0.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="44" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -613,7 +616,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="45" name="Constant_325190" type="Const" version="opset1">
+		<layer id="45" name="Constant_36904" type="Const" version="opset1">
 			<data element_type="f32" shape="1, 1, 7680" offset="139492144" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
@@ -623,7 +626,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="46" name="__module.model.gpt_neox.layers.0.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="46" name="__module.model.gpt_neox.layers.0.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -638,14 +641,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="322,qkv.1">
+				<port id="2" precision="FP32" names="388,qkv.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="47" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="47" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="139522864" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -666,7 +669,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="326,qkv.3">
+				<port id="2" precision="FP32" names="392,qkv.3">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -674,32 +677,39 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="49" name="Constant_294370" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="49" name="Constant_709" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="50" name="Constant_294373" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="50" name="Constant_711" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="51" name="Constant_294376" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="51" name="Constant_713" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="52" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="52" name="__module.model.gpt_neox/aten::slice/Reshape_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522904" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="53" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -708,17 +718,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="327">
+				<port id="5" precision="FP32" names="393">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -726,15 +739,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="53" name="Constant_222" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="54" name="Constant_722" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="328">
+				<port id="0" precision="I64" names="394">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="54" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="55" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -747,7 +760,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="329,query.1">
+				<port id="2" precision="FP32" names="395,query.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -755,32 +768,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="55" name="Constant_294382" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="56" name="Constant_763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="56" name="Constant_294385" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="57" name="Constant_765" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="57" name="Constant_294388" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="58" name="Constant_767" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="58" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="59" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -789,17 +801,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="336,q.1">
+				<port id="5" precision="FP32" names="402,q.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -807,110 +822,49 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="59" name="self.model.gpt_neox.layers.0.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="139523024" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.0.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
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+		<layer id="60" name="__module.model.gpt_neox.rotary_emb/aten::to/Convert" type="Const" version="opset1">
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+		<layer id="61" name="ShapeOf_38165" type="ShapeOf" version="opset3">
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+					<dim>2</dim>
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+		<layer id="62" name="Constant_38166" type="Const" version="opset1">
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 		</layer>
-		<layer id="67" name="Constant_337906" type="Const" version="opset1">
+		<layer id="63" name="Constant_38167" type="Const" version="opset1">
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 				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="68" name="Gather_337907" type="Gather" version="opset8">
+		<layer id="64" name="Gather_38168" type="Gather" version="opset8">
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 			<input>
 				<port id="0" precision="I64">
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+					<dim>2</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -918,42 +872,28 @@
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-				<port id="0" precision="I64">
+				<port id="3" precision="I64" names="352">
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 		</layer>
-		<layer id="71" name="Constant_432633" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="65" name="Constant_32526" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="72" name="Constant_432635" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="66" name="Constant_32528" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="73" name="Concat_432636" type="Concat" version="opset1">
+		<layer id="67" name="__module.model.gpt_neox.rotary_emb/prim::ListConstruct" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -965,241 +905,160 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I64">
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-				<port id="1" precision="I64">
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-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+				<port id="3" precision="I64">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="75" name="ReadValue_417282" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.0.keypresent.0.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="68" name="__module.model.gpt_neox.rotary_emb/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
+					<dim>1</dim>
+					<dim>40</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
+				<port id="2" precision="FP32" names="354,359,inv_freq_expanded,inv_freq_expanded.1">
 					<dim>-1</dim>
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+					<dim>40</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="76" name="Constant_401890" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="69" name="204" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64" names="204" />
 			</output>
 		</layer>
-		<layer id="77" name="Gather_401891" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="70" name="__module.model.gpt_neox.rotary_emb/aten::unsqueeze/Unsqueeze_2" type="Unsqueeze" version="opset1">
 			<input>
-				<port id="0" precision="FP32">
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+				<port id="1" precision="I64" />
 			</input>
 			<output>
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-					<dim>32</dim>
+				<port id="2" precision="I64" names="356,357">
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
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-		<layer id="80" name="Constant_337911" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="81" name="Gather_337912" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="71" name="__module.model.gpt_neox.rotary_emb/aten::to/Convert_2" type="Convert" version="opset1">
+			<data destination_type="f32" />
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+					<dim>-1</dim>
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+					<dim>-1</dim>
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="358,360,position_ids_expanded,position_ids_expanded.1">
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+					<dim>-1</dim>
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 		</layer>
-		<layer id="84" name="__module.model.gpt_neox.layers.0.attention/aten::add_/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="72" name="__module.model.gpt_neox.rotary_emb/aten::matmul/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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 			</input>
 			<output>
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+					<dim>-1</dim>
+					<dim>40</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="73" name="__module.model.gpt_neox.rotary_emb/aten::transpose/Constant" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I32">
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 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="74" name="__module.model.gpt_neox.rotary_emb/aten::transpose/Transpose" type="Transpose" version="opset1">
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 			<output>
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+		<layer id="75" name="__module.model.gpt_neox.rotary_emb/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
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 					<dim>-1</dim>
+					<dim>40</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="364,emb">
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 					<dim>-1</dim>
+					<dim>80</dim>
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-				<port id="0" precision="I32" />
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-		<layer id="89" name="__module.model.gpt_neox.layers.0.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="76" name="__module.model.gpt_neox.rotary_emb/aten::cos/Cos" type="Cos" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>80</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="355">
+				<port id="1" precision="FP32" names="365,367,369,372,cos.1,cos.3,cos.5">
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 					<dim>-1</dim>
 					<dim>80</dim>
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 		</layer>
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-		<layer id="91" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="77" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1209,7 +1068,7 @@
 				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="356,cos.3">
+				<port id="2" precision="FP32" names="1081,1193,1305,1417,1529,1641,1753,1865,1977,2089,2201,2313,2425,2537,2649,2761,2873,2985,3097,3209,3321,3433,3545,3657,3769,3881,406,521,633,745,857,969,cos,cos.11,cos.13,cos.15,cos.17,cos.19,cos.21,cos.23,cos.25,cos.27,cos.29,cos.31,cos.33,cos.35,cos.37,cos.39,cos.41,cos.43,cos.45,cos.47,cos.49,cos.51,cos.53,cos.55,cos.57,cos.59,cos.61,cos.63,cos.65,cos.67,cos.7,cos.9">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -1217,7 +1076,7 @@
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 			</output>
 		</layer>
-		<layer id="92" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="78" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1234,7 +1093,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="360">
+				<port id="2" precision="FP32" names="408">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1242,156 +1101,31 @@
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 		</layer>
-		<layer id="93" name="Constant_294405" type="Const" version="opset1">
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-		<layer id="94" name="Constant_294404" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="79" name="Constant_921" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
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-				<port id="0" precision="I64" names="219" />
-			</output>
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-		<layer id="100" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
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-				<port id="1" precision="I64" />
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-				<port id="2" precision="I64" />
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-		</layer>
-		<layer id="101" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
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-				<port id="0" precision="I64" />
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-			<output>
-				<port id="1" precision="I64" names="363,364,368,369" />
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-		<layer id="102" name="Constant_337584" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="80" name="Constant_923" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-		</layer>
-		<layer id="104" name="Constant_294403" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="81" name="Constant_925" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="105" name="ScatterUpdate_294406" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="106" name="Constant_294409" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="107" name="Constant_294412" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="108" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="82" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1400,17 +1134,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="370,x2.1">
+				<port id="5" precision="FP32" names="418,x2.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1418,8 +1155,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="Constant_325191" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="83" name="Constant_36905" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1429,7 +1166,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="110" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="84" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1446,7 +1183,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="371">
+				<port id="2" precision="FP32" names="419">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1454,24 +1191,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="111" name="Constant_294457" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="85" name="Constant_818" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="112" name="Constant_294462" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="86" name="Constant_862" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="87" name="Constant_864" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="88" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1480,17 +1224,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="365">
+				<port id="5" precision="FP32" names="413">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1498,7 +1245,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="114" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="89" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1515,7 +1262,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="373">
+				<port id="2" precision="FP32" names="421">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1523,83 +1270,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="115" name="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.0.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="116" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="117" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="118" name="__module.model.gpt_neox.layers.0.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="90" name="__module.model.gpt_neox.rotary_emb/aten::sin/Sin" type="Sin" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="350,353,sin.1">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="119" name="Constant_38230" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="120" name="__module.model.gpt_neox.layers.0.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="358">
+				<port id="1" precision="FP32" names="366,368,370,373,sin.1,sin.3,sin.5">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="91" name="__module.model.gpt_neox.layers.0.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1609,7 +1296,7 @@
 				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="359,sin.3">
+				<port id="2" precision="FP32" names="1082,1194,1306,1418,1530,1642,1754,1866,1978,2090,2202,2314,2426,2538,2650,2762,2874,2986,3098,3210,3322,3434,3546,3658,3770,3882,407,522,634,746,858,970,sin,sin.11,sin.13,sin.15,sin.17,sin.19,sin.21,sin.23,sin.25,sin.27,sin.29,sin.31,sin.33,sin.35,sin.37,sin.39,sin.41,sin.43,sin.45,sin.47,sin.49,sin.51,sin.53,sin.55,sin.57,sin.59,sin.61,sin.63,sin.65,sin.67,sin.7,sin.9">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -1617,7 +1304,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="92" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1634,7 +1321,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="374">
+				<port id="2" precision="FP32" names="422">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1642,7 +1329,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="123" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add" type="Add" version="opset1">
+		<layer id="93" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1659,7 +1346,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="375,393,403,query.3,query.5">
+				<port id="2" precision="FP32" names="423,441">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1667,28 +1354,47 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="124" name="Constant_236" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="94" name="ReadValue_49734" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.0.keypresent.0.key" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="331">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="past_key_values.0.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="95" name="Constant_47329" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="96" name="Gather_47330" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="332,key.1">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1696,76 +1402,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="126" name="Constant_294508" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="97" name="Constant_727" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="Constant_294511" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="98" name="Constant_729" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="Constant_294514" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="99" name="Constant_731" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="100" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="338,k.1">
+				<port id="5" precision="FP32" names="396">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="130" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="101" name="Constant_740" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="397">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="102" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="376">
+				<port id="2" precision="FP32" names="398,key.1">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1773,24 +1485,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="131" name="Constant_294518" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="103" name="Constant_783" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="132" name="Constant_294517" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="104" name="Constant_785" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="133" name="__module.model.gpt_neox.layers.0.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="105" name="Constant_787" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="106" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1798,119 +1517,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="134" name="__module.model.gpt_neox.layers.0.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="135" name="__module.model.gpt_neox.layers.0.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="377,382" />
-			</output>
-		</layer>
-		<layer id="136" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="137" name="__module.model.gpt_neox.layers.0.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="379,380,384,385" />
-			</output>
-		</layer>
-		<layer id="138" name="Constant_337586" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="404,k.1">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="139" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="107" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="424">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="140" name="Constant_294516" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="108" name="Constant_1064" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="141" name="ScatterUpdate_294519" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="142" name="Constant_294522" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="109" name="Constant_1066" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="143" name="Constant_294525" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="110" name="Constant_1068" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="144" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="111" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1919,17 +1597,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="386,x2.3">
+				<port id="5" precision="FP32" names="434,x2.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1937,8 +1618,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="145" name="Constant_325192" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="112" name="Constant_36906" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1948,7 +1629,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="113" name="__module.model.gpt_neox.layers.0.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -1965,7 +1646,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="387">
+				<port id="2" precision="FP32" names="435">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -1973,24 +1654,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="Constant_294570" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="114" name="Constant_961" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="Constant_294575" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="115" name="Constant_1005" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="Constant_1007" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="117" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -1999,17 +1687,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="381">
+				<port id="5" precision="FP32" names="429">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2017,7 +1708,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="150" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="118" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2034,7 +1725,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="389">
+				<port id="2" precision="FP32" names="437">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2042,7 +1733,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="151" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="119" name="__module.model.gpt_neox.layers.0.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2059,7 +1750,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="390">
+				<port id="2" precision="FP32" names="438">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2067,7 +1758,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="120" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2084,7 +1775,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="391,395">
+				<port id="2" precision="FP32" names="439,443,key_states">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2092,7 +1783,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="153" name="__module.model.gpt_neox.layers.0.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="121" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2117,76 +1808,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="154" name="Constant_432651" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="155" name="Constant_432644" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="156" name="Constant_432646" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="157" name="Constant_432648" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="158" name="Concat_432649" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="159" name="Broadcast_432652" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="160" name="ReadValue_417284" type="ReadValue" version="opset6">
+		<layer id="122" name="ReadValue_49736" type="ReadValue" version="opset6">
 			<data variable_id="past_key_values.0.valuepresent.0.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2205,13 +1827,13 @@
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 			</output>
 		</layer>
-		<layer id="161" name="Constant_401893" type="Const" version="opset1">
+		<layer id="123" name="Constant_47332" type="Const" version="opset1">
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 				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="162" name="Gather_401894" type="Gather" version="opset8">
+		<layer id="124" name="Gather_47333" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2234,32 +1856,31 @@
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 		</layer>
-		<layer id="163" name="Constant_294620" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="125" name="Constant_745" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
-		<layer id="164" name="Constant_294623" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="126" name="Constant_747" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="165" name="Constant_294626" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="127" name="Constant_749" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="128" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2268,17 +1889,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="399">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -2286,15 +1910,15 @@
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 			</output>
 		</layer>
-		<layer id="167" name="Constant_250" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="129" name="Constant_758" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="334">
+				<port id="0" precision="I64" names="400">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="168" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="130" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -2307,7 +1931,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="335">
+				<port id="2" precision="FP32" names="401">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -2315,7 +1939,7 @@
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 			</output>
 		</layer>
-		<layer id="169" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="131" name="__module.model.gpt_neox.layers.0.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -2340,203 +1964,218 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="170" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="140833836" size="4194304" />
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-				<port id="0" precision="BOOL" names="412">
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-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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-			</output>
-		</layer>
-		<layer id="171" name="Constant_294630" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-		</layer>
-		<layer id="172" name="Constant_294629" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="132" name="__module.model.gpt_neox/aten::triu/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="0" size="4" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="173" name="ShapeOf_337914" type="ShapeOf" version="opset3">
+		<layer id="133" name="ShapeOf_38175" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
 					<dim>-1</dim>
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 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="174" name="Constant_337915" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+		<layer id="134" name="Constant_38176" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="175" name="Constant_337916" type="Const" version="opset1">
+		<layer id="135" name="Constant_38177" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="176" name="Gather_337917" type="Gather" version="opset8">
+		<layer id="136" name="Gather_38178" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
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 				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="3" precision="I64" names="308,325" />
 			</output>
 		</layer>
-		<layer id="177" name="Add_337918" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="137" name="Convert_38181" type="Convert" version="opset1">
+			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="407" />
+				<port id="1" precision="I32" />
 			</output>
 		</layer>
-		<layer id="178" name="ShapeOf_337985" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="138" name="__module.model.gpt_neox/aten::triu/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="139523144" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="139" name="__module.model.gpt_neox/aten::triu/Range" type="Range" version="opset4">
+			<data output_type="i32" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
+				<port id="2" precision="I32" />
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+			<output>
+				<port id="3" precision="I32">
 					<dim>-1</dim>
-					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="140" name="__module.model.gpt_neox/aten::triu/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="1" precision="I32" />
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="179" name="Constant_337986" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+		<layer id="141" name="__module.model.gpt_neox/aten::triu/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="139523144" size="4" />
 			<output>
-				<port id="0" precision="I64" />
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 		</layer>
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
+		<layer id="142" name="ShapeOf_38169" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>-1</dim>
+					<dim>-1</dim>
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+			<output>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="143" name="Constant_38170" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
 		</layer>
-		<layer id="181" name="Gather_337988" type="Gather" version="opset8">
+		<layer id="144" name="Constant_38171" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="145" name="Gather_38172" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
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 				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="405" />
+				<port id="3" precision="I64" names="300,307" />
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="146" name="Convert_38186" type="Convert" version="opset1">
+			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="409,410" />
+				<port id="1" precision="I32" />
 			</output>
 		</layer>
-		<layer id="183" name="Constant_337588" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="147" name="__module.model.gpt_neox/aten::triu/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32" />
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 			<output>
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+				<port id="2" precision="I32" />
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 		</layer>
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-			<data special_zero="false" />
+		<layer id="148" name="__module.model.gpt_neox/aten::triu/Range_1" type="Range" version="opset4">
+			<data output_type="i32" />
 			<input>
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-				<port id="1" precision="I64">
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+				<port id="0" precision="I32" />
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 			</input>
 			<output>
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+				<port id="3" precision="I32">
+					<dim>-1</dim>
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 		</layer>
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-			<output>
+		<layer id="149" name="__module.model.gpt_neox/aten::triu/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<input>
 				<port id="0" precision="I32">
+					<dim>-1</dim>
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+				<port id="1" precision="I32" />
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+			<output>
+				<port id="2" precision="I32">
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+			<data auto_broadcast="numpy" />
 			<input>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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 					<dim>1</dim>
+					<dim>-1</dim>
 				</port>
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 				</port>
 			</input>
 			<output>
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-					<dim>3</dim>
+				<port id="2" precision="BOOL">
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="187" name="Constant_294632" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028140" size="24" />
+		<layer id="151" name="__module.model.gpt_neox/aten::full/Convert" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="FP32" />
 			</output>
 		</layer>
-		<layer id="188" name="Constant_337590" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="152" name="Constant_93111" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523152" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="189" name="__module.model.gpt_neox.layers.0.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
+		<layer id="153" name="Reshape_38174" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="I64" />
@@ -2550,295 +2189,218 @@
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 		</layer>
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-		<layer id="191" name="Constant_294636" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028164" size="24" />
+		<layer id="154" name="Constant_93112" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523152" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+		<layer id="155" name="Reshape_38180" type="Reshape" version="opset1">
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-				<port id="3" precision="I64">
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 				</port>
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 			<output>
-				<port id="4" precision="BOOL" names="413">
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 					<dim>1</dim>
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+			<data axis="0" />
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@@ -3019,17 +2514,17 @@
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 				<port id="0" precision="I64">
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@@ -3037,36 +2532,36 @@
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="183" name="Constant_32534" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="225" name="Constant_267963" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="184" name="Constant_32536" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="226" name="Constant_267965" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="185" name="Constant_32538" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="227" name="__module.model.gpt_neox.layers.0.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="186" name="__module.model.gpt_neox/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -3083,32 +2578,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="417">
-					<dim>4</dim>
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-		</layer>
-		<layer id="228" name="Maximum_314990" type="Maximum" version="opset1">
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-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
+				<port id="4" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="229" name="__module.model.gpt_neox.layers.0.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="187" name="__module.model.gpt_neox/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -3118,7 +2597,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="419">
+				<port id="2" precision="FP32" names="323,326,327,328,336,337,338,341_1,342_1,343_1,causal_mask.5">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -3126,28 +2605,43 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="230" name="__module.model.gpt_neox.layers.0.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="188" name="Constant_93113" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523152" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="189" name="SliceAssign_493/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+			</output>
+		</layer>
+		<layer id="190" name="Constant_21430" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="191" name="SliceAssign_493/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -3155,731 +2649,778 @@
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 			</input>
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="231" name="Constant_691" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
-			<output>
-				<port id="0" precision="I64" names="422">
+		<layer id="192" name="SliceAssign_493/ReduceProd" type="ReduceProd" version="opset1">
+			<data keep_dims="false" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64" />
+			</output>
+		</layer>
+		<layer id="193" name="Constant_21431" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="232" name="__module.model.gpt_neox.layers.0.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="194" name="SliceAssign_493/Range" type="Range" version="opset4">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64" />
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
 					<dim>-1</dim>
-					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="195" name="SliceAssign_493/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="I64">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="I64">
+					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="196" name="Constant_482" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="197" name="Constant_485" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="198" name="SliceAssign_493/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
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+					<dim>1</dim>
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 					<dim>-1</dim>
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-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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+		<layer id="199" name="Constant_21433" type="Const" version="opset1">
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 			<output>
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-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="236" name="Convert_448865" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="200" name="SliceAssign_493/Reshape_4" type="Reshape" version="opset1">
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 			<input>
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-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u4" shape="2560, 20, 1" offset="148305044" size="25600" />
+		<layer id="201" name="Constant_365" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="U4">
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-					<dim>20</dim>
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 					<dim>1</dim>
 				</port>
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 		</layer>
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-			</input>
+		<layer id="202" name="Constant_368" type="Const" version="opset1">
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 			<output>
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-					<dim>20</dim>
+				<port id="0" precision="I64">
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 				</port>
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 		</layer>
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-			<data auto_broadcast="numpy" />
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 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
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-					<dim>128</dim>
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-					<dim>20</dim>
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-			<output>
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-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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+				<port id="4" precision="I64">
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-					<dim>20</dim>
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 					<dim>1</dim>
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 		</layer>
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-				<port id="1" precision="FP16">
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 			<output>
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-			<data element_type="u4" shape="2560, 80, 128" offset="162123956" size="13107200" />
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 			</output>
 		</layer>
-		<layer id="270" name="Convert_448887" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
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 					<dim>2560</dim>
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-			<data element_type="u4" shape="2560, 80, 1" offset="175231156" size="102400" />
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 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="272" name="Convert_448889" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
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 					<dim>2560</dim>
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 		</layer>
-		<layer id="273" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="237" name="self.model.gpt_neox.layers.0.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
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 			<output>
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 					<dim>2560</dim>
-					<dim>80</dim>
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 					<dim>128</dim>
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 		</layer>
-		<layer id="274" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 80, 1" offset="175333556" size="409600" />
+		<layer id="238" name="self.model.gpt_neox.layers.0.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="142825624" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="275" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="239" name="self.model.gpt_neox.layers.0.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
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 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
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 		</layer>
-		<layer id="276" name="Constant_448894" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="240" name="Constant_176978" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="Reshape_448895" type="Reshape" version="opset1">
+		<layer id="241" name="Reshape_176979" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -3889,36 +3430,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="242" name="self.model.gpt_neox.layers.0.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="243" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -3929,8 +3470,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="280" name="Constant_325200" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="175743172" size="10240" />
+		<layer id="244" name="Constant_36908" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="142928040" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3939,7 +3480,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="281" name="__module.model.gpt_neox.layers.0.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="245" name="__module.model.gpt_neox.layers.0.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3954,14 +3495,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="450,input.5">
+				<port id="2" precision="FP32" names="463,465,input.1">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="__module.model.gpt_neox.layers.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="246" name="__module.model.gpt_neox.layers.0/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -3976,14 +3517,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="452,454,hidden_states.3">
+				<port id="2" precision="FP32" names="469,attn_output.7">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="283" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="247" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -3991,7 +3532,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="248" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4011,8 +3552,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="Constant_325201" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="175753412" size="10240" />
+		<layer id="249" name="Constant_36909" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="142938280" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4021,7 +3562,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="250" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4043,8 +3584,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="287" name="Constant_325202" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="175763652" size="10240" />
+		<layer id="251" name="Constant_36910" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="142948520" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4053,7 +3594,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="__module.model.gpt_neox.layers.1.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="252" name="__module.model.gpt_neox.layers.0.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -4068,134 +3609,134 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="464">
+				<port id="2" precision="FP32" names="473">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="289" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="175773892" size="9830400" />
+		<layer id="253" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="142958760" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="290" name="Convert_448898" type="Convert" version="opset1">
+		<layer id="254" name="Convert_175979" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="185604292" size="76800" />
+		<layer id="255" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="156065960" size="102400" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="292" name="Convert_448900" type="Convert" version="opset1">
+		<layer id="256" name="Convert_175981" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="293" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="257" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="294" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="185681092" size="307200" />
+		<layer id="258" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="156168360" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="295" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="259" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="296" name="Constant_448905" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="139492128" size="16" />
+		<layer id="260" name="Constant_175986" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="297" name="Reshape_448906" type="Reshape" version="opset1">
+		<layer id="261" name="Reshape_175987" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
@@ -4205,27 +3746,30 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="298" name="self.model.gpt_neox.layers.1.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="262" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
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+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="299" name="__module.model.gpt_neox.layers.1.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="263" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -4234,7 +3778,7 @@
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 				</port>
 				<port id="1" precision="FP32">
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+					<dim>10240</dim>
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@@ -4242,756 +3786,743 @@
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 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 7680" offset="185988292" size="30720" />
+		<layer id="264" name="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="156577976" size="20480" />
 			<output>
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+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.0.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="265" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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 		</layer>
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+		<layer id="266" name="__module.model.gpt_neox.layers.0.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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 		</layer>
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+		<layer id="272" name="self.model.gpt_neox.layers.0.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
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-		<layer id="352" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="305" name="Constant_1347" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="1" precision="I64" names="512,513,517,518" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="353" name="Constant_337596" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="306" name="Constant_1349" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="354" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="307" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="508">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="355" name="Constant_294767" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="308" name="Constant_1358" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="509">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="356" name="ScatterUpdate_294770" type="ScatterUpdate" version="opset3">
+		<layer id="309" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="510,query.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="357" name="Constant_294773" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="310" name="Constant_1399" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="311" name="Constant_1401" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="358" name="Constant_294776" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="312" name="Constant_1403" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="313" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5000,78 +4531,77 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="519,x2.5">
+				<port id="5" precision="FP32" names="517,q.3">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="360" name="Constant_325204" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="361" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="314" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="520">
+				<port id="2" precision="FP32" names="523">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="Constant_294821" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="315" name="Constant_1557" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="363" name="Constant_294826" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="316" name="Constant_1559" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="317" name="Constant_1561" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="364" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="318" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5080,17 +4610,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="514">
+				<port id="5" precision="FP32" names="533,x2.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5098,8 +4631,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="365" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="319" name="Constant_36914" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="320" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5108,51 +4652,51 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="522">
+				<port id="2" precision="FP32" names="534">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="366" name="self.model.gpt_neox.layers.1.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="321" name="Constant_1454" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.1.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="367" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="322" name="Constant_1498" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="368" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="323" name="Constant_1500" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="__module.model.gpt_neox.layers.1.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="324" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -5164,60 +4708,70 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="499,502,sin.5">
+				<port id="5" precision="FP32" names="528">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="370" name="Constant_38236" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="371" name="__module.model.gpt_neox.layers.1.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="325" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="507">
+				<port id="2" precision="FP32" names="536">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="372" name="__module.model.gpt_neox.layers.1.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="326" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="508,sin.7">
+				<port id="2" precision="FP32" names="537">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="373" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="327" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5228,13 +4782,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="523">
+				<port id="2" precision="FP32" names="538,556">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5242,24 +4796,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="374" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="328" name="ReadValue_49738" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.1.keypresent.1.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="524,542,552,query.11,query.9">
+				<port id="1" precision="FP32" names="past_key_values.1.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5267,28 +4815,28 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="375" name="Constant_817" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="329" name="Constant_47335" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="480">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="376" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="330" name="Gather_47336" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="481,key.7">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5296,76 +4844,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="377" name="Constant_294872" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="331" name="Constant_1363" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="378" name="Constant_294875" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="332" name="Constant_1365" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="379" name="Constant_294878" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="333" name="Constant_1367" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="380" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="334" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="487,k.3">
+				<port id="5" precision="FP32" names="511">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="381" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="335" name="Constant_1376" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="512">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="336" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="525">
+				<port id="2" precision="FP32" names="513,key.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5373,24 +4927,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="382" name="Constant_294882" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="337" name="Constant_1419" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="383" name="Constant_294881" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="338" name="Constant_1421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="384" name="__module.model.gpt_neox.layers.1.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="339" name="Constant_1423" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="340" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5398,119 +4959,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="385" name="__module.model.gpt_neox.layers.1.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="386" name="__module.model.gpt_neox.layers.1.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="526,531" />
-			</output>
-		</layer>
-		<layer id="387" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="388" name="__module.model.gpt_neox.layers.1.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="528,529,533,534" />
-			</output>
-		</layer>
-		<layer id="389" name="Constant_337598" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="519,k.3">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="390" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="341" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="539">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="Constant_294880" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="342" name="Constant_1700" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="392" name="ScatterUpdate_294883" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="393" name="Constant_294886" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="343" name="Constant_1702" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="394" name="Constant_294889" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="344" name="Constant_1704" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="395" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="345" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5519,17 +5039,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="535,x2.7">
+				<port id="5" precision="FP32" names="549,x2.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5537,8 +5060,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="396" name="Constant_325205" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="346" name="Constant_36915" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5548,7 +5071,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="347" name="__module.model.gpt_neox.layers.1.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5565,7 +5088,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="536">
+				<port id="2" precision="FP32" names="550">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5573,24 +5096,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="Constant_294934" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="348" name="Constant_1597" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="Constant_294939" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="349" name="Constant_1641" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="350" name="Constant_1643" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="351" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -5599,17 +5129,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="530">
+				<port id="5" precision="FP32" names="544">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5617,7 +5150,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="352" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5634,7 +5167,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="538">
+				<port id="2" precision="FP32" names="552">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5642,7 +5175,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="353" name="__module.model.gpt_neox.layers.1.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5659,7 +5192,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="539">
+				<port id="2" precision="FP32" names="553">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5667,7 +5200,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="403" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="354" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5684,7 +5217,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="540,544">
+				<port id="2" precision="FP32" names="554,558">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -5692,7 +5225,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="404" name="__module.model.gpt_neox.layers.1.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="355" name="__module.model.gpt_neox.layers.1.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -5717,149 +5250,79 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="405" name="Constant_432677" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
+		<layer id="356" name="ReadValue_49740" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.1.valuepresent.1.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="1" precision="FP32" names="past_key_values.1.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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+		<layer id="362" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_10" type="Slice" version="opset8">
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@@ -5868,17 +5331,20 @@
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@@ -5886,15 +5352,15 @@
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@@ -5907,7 +5373,7 @@
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 			</input>
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@@ -5915,7 +5381,7 @@
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@@ -5940,34 +5406,15 @@
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+		<layer id="366" name="Constant_1776" type="Const" version="opset1">
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@@ -5983,263 +5430,22 @@
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-		<layer id="431" name="Constant_338083" type="Const" version="opset1">
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@@ -6247,121 +5453,22 @@
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-			<output>
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-					<dim>4</dim>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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-				<port id="2" precision="I64">
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 				<port id="3" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="451" name="__module.model.gpt_neox.layers.1.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="452" name="__module.model.gpt_neox.layers.1.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="145028188" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="551" />
-			</output>
-		</layer>
-		<layer id="453" name="__module.model.gpt_neox.layers.1.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
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-				<port id="2" precision="FP32" />
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-					<dim>1</dim>
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-					<dim>-1</dim>
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-		<layer id="454" name="Add_315060" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="455" name="ShapeOf_315061" type="ShapeOf" version="opset3">
+		<layer id="371" name="ShapeOf_38276" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
@@ -6370,21 +5477,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="456" name="Constant_338087" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="372" name="Constant_38277" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="457" name="Constant_338088" type="Const" version="opset1">
+		<layer id="373" name="Constant_38278" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="458" name="Gather_338089" type="Gather" version="opset8">
+		<layer id="374" name="Gather_38279" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -6396,40 +5503,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="549">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="459" name="Constant_267971" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
+		<layer id="375" name="Add_38280" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="460" name="Constant_267973" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="563">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="461" name="Constant_267975" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="376" name="Constant_1779" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="462" name="__module.model.gpt_neox.layers.1.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="377" name="__module.model.gpt_neox.layers.1.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -6440,44 +5549,12 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="566">
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-			</output>
-		</layer>
-		<layer id="463" name="Maximum_315062" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
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-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="464" name="__module.model.gpt_neox.layers.1.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="568">
+				<port id="5" precision="FP32" names="567">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -6485,7 +5562,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="465" name="__module.model.gpt_neox.layers.1.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="378" name="__module.model.gpt_neox.layers.1.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6514,7 +5591,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="569,570,sdpa_result.3,tensor.5">
+				<port id="4" precision="FP32" names="568,attn_output.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -6522,15 +5599,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="466" name="Constant_1272" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="379" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64" names="571">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="467" name="__module.model.gpt_neox.layers.1.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="380" name="__module.model.gpt_neox.layers.1.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -6538,12 +5615,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="572">
+				<port id="2" precision="FP32" names="569">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -6551,15 +5628,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="468" name="__module.model.gpt_neox.layers.1.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="381" name="Constant_40536" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="469" name="__module.model.gpt_neox.layers.1.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="382" name="__module.model.gpt_neox.layers.1.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6573,15 +5650,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="577">
+				<port id="2" precision="FP32" names="572">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="470" name="self.model.gpt_neox.layers.1.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 128" offset="186019012" size="3276800" />
+		<layer id="383" name="self.model.gpt_neox.layers.1.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="180488392" size="3276800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -6590,7 +5667,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="471" name="Convert_448909" type="Convert" version="opset1">
+		<layer id="384" name="Convert_176982" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -6607,8 +5684,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="472" name="self.model.gpt_neox.layers.1.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 1" offset="189295812" size="25600" />
+		<layer id="385" name="self.model.gpt_neox.layers.1.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="183765192" size="25600" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -6617,7 +5694,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="473" name="Convert_448911" type="Convert" version="opset1">
+		<layer id="386" name="Convert_176984" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -6634,7 +5711,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="474" name="self.model.gpt_neox.layers.1.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="387" name="self.model.gpt_neox.layers.1.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6656,8 +5733,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="475" name="self.model.gpt_neox.layers.1.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="189321412" size="102400" />
+		<layer id="388" name="self.model.gpt_neox.layers.1.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="183790792" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -6666,7 +5743,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="476" name="self.model.gpt_neox.layers.1.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="389" name="self.model.gpt_neox.layers.1.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6688,15 +5765,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="477" name="Constant_448916" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="390" name="Constant_176989" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="478" name="Reshape_448917" type="Reshape" version="opset1">
+		<layer id="391" name="Reshape_176990" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6715,7 +5792,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="479" name="self.model.gpt_neox.layers.1.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="392" name="self.model.gpt_neox.layers.1.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6730,7 +5807,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="480" name="__module.model.gpt_neox.layers.1.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="393" name="__module.model.gpt_neox.layers.1.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6751,8 +5828,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="481" name="Constant_325206" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="189423812" size="10240" />
+		<layer id="394" name="Constant_36916" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="183893192" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6761,7 +5838,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="482" name="__module.model.gpt_neox.layers.1.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="395" name="__module.model.gpt_neox.layers.1.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6776,14 +5853,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="580,582,input.7">
+				<port id="2" precision="FP32" names="575,577,input.5">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="483" name="__module.model.gpt_neox.layers.1/aten::add/Add" type="Add" version="opset1">
+		<layer id="396" name="__module.model.gpt_neox.layers.1/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6798,14 +5875,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="586,attn_output.7">
+				<port id="2" precision="FP32" names="581,attn_output.15">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="484" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="397" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -6813,7 +5890,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="485" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="398" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6833,8 +5910,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="486" name="Constant_325207" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="189434052" size="10240" />
+		<layer id="399" name="Constant_36917" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="183903432" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6843,7 +5920,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="487" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="400" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6865,8 +5942,8 @@
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 			</output>
 		</layer>
-		<layer id="488" name="Constant_325208" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="189444292" size="10240" />
+		<layer id="401" name="Constant_36918" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="183913672" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6875,7 +5952,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="489" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="402" name="__module.model.gpt_neox.layers.1.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -6890,15 +5967,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="590">
+				<port id="2" precision="FP32" names="585">
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 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 128" offset="189454532" size="13107200" />
+		<layer id="403" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="183923912" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>10240</dim>
@@ -6907,7 +5984,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="491" name="Convert_448920" type="Convert" version="opset1">
+		<layer id="404" name="Convert_175999" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -6924,8 +6001,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="492" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 1" offset="202561732" size="102400" />
+		<layer id="405" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="197031112" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>10240</dim>
@@ -6934,7 +6011,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="493" name="Convert_448922" type="Convert" version="opset1">
+		<layer id="406" name="Convert_176001" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -6951,7 +6028,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="494" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="407" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -6973,8 +6050,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="495" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 20, 1" offset="202664132" size="409600" />
+		<layer id="408" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="197133512" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -6983,7 +6060,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="496" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="409" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7005,15 +6082,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="Constant_448927" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="162082980" size="16" />
+		<layer id="410" name="Constant_176006" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="498" name="Reshape_448928" type="Reshape" version="opset1">
+		<layer id="411" name="Reshape_176007" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7032,8 +6109,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="499" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="412" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -7047,7 +6127,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="500" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="413" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7068,17 +6148,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="501" name="Constant_325209" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="203073732" size="40960" />
+		<layer id="414" name="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="197543112" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="502" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="415" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="416" name="__module.model.gpt_neox.layers.1.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7087,20 +6181,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="595">
+				<port id="2" precision="FP32" names="590">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="503" name="__module.model.gpt_neox.layers.1.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="417" name="__module.model.gpt_neox.layers.1.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7110,15 +6202,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="596">
+				<port id="1" precision="FP32" names="591">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="504" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 128" offset="203114692" size="13107200" />
+		<layer id="418" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="197563592" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -7127,7 +6219,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="505" name="Convert_448931" type="Convert" version="opset1">
+		<layer id="419" name="Convert_176009" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -7144,8 +6236,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="506" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 1" offset="216221892" size="102400" />
+		<layer id="420" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="210670792" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -7154,7 +6246,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="507" name="Convert_448933" type="Convert" version="opset1">
+		<layer id="421" name="Convert_176011" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -7171,7 +6263,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="508" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="422" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7193,8 +6285,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="509" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 80, 1" offset="216324292" size="409600" />
+		<layer id="423" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="210773192" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -7203,7 +6295,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="510" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="424" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7225,15 +6317,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="511" name="Constant_448938" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="425" name="Constant_176016" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="512" name="Reshape_448939" type="Reshape" version="opset1">
+		<layer id="426" name="Reshape_176017" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7252,8 +6344,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="513" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="427" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -7267,7 +6362,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="514" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="428" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7288,17 +6383,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="515" name="Constant_325210" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="216733892" size="10240" />
+		<layer id="429" name="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="211182792" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.1.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="516" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="430" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="431" name="__module.model.gpt_neox.layers.1.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7307,20 +6416,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="599,input.9">
+				<port id="2" precision="FP32" names="594,input.7">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="517" name="__module.model.gpt_neox.layers.1/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="432" name="__module.model.gpt_neox.layers.1/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7335,14 +6442,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="601,603,hidden_states.5">
+				<port id="2" precision="FP32" names="596,598,hidden_states.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="518" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="433" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -7350,7 +6457,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="519" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="434" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7370,8 +6477,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="520" name="Constant_325211" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="216744132" size="10240" />
+		<layer id="435" name="Constant_36919" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="211187912" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7380,7 +6487,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="521" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="436" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7402,8 +6509,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="522" name="Constant_325212" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="216754372" size="10240" />
+		<layer id="437" name="Constant_36920" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="211198152" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7412,7 +6519,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="523" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="438" name="__module.model.gpt_neox.layers.2.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7427,15 +6534,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="613">
+				<port id="2" precision="FP32" names="608,hidden_states.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="524" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="216764612" size="9830400" />
+		<layer id="439" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 128" offset="211208392" size="9830400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -7444,7 +6551,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="525" name="Convert_448942" type="Convert" version="opset1">
+		<layer id="440" name="Convert_176641" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -7461,8 +6568,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="526" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="226595012" size="76800" />
+		<layer id="441" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 1" offset="221038792" size="76800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -7471,7 +6578,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="527" name="Convert_448944" type="Convert" version="opset1">
+		<layer id="442" name="Convert_176643" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -7488,7 +6595,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="528" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="443" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7510,8 +6617,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="529" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="226671812" size="307200" />
+		<layer id="444" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="221115592" size="307200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -7520,7 +6627,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="530" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="445" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7542,7 +6649,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="531" name="Constant_448949" type="Const" version="opset1">
+		<layer id="446" name="Constant_176648" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="139492128" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -7550,7 +6657,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="532" name="Reshape_448950" type="Reshape" version="opset1">
+		<layer id="447" name="Reshape_176649" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7569,7 +6676,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="533" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="448" name="self.model.gpt_neox.layers.2.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -7584,7 +6691,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="534" name="__module.model.gpt_neox.layers.2.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="449" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7605,8 +6712,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="535" name="Constant_325213" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="226979012" size="30720" />
+		<layer id="450" name="Constant_36921" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="221422792" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7615,7 +6722,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="536" name="__module.model.gpt_neox.layers.2.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="451" name="__module.model.gpt_neox.layers.2.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7630,14 +6737,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="620,qkv.9">
+				<port id="2" precision="FP32" names="615,qkv.9">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="537" name="__module.model.gpt_neox.layers.2.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="452" name="__module.model.gpt_neox.layers.2.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="139522864" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -7645,7 +6752,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="538" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="453" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -7658,7 +6765,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="624,qkv.11">
+				<port id="2" precision="FP32" names="619,qkv.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -7666,32 +6773,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="539" name="Constant_295085" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="454" name="Constant_1975" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="540" name="Constant_295088" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="455" name="Constant_1977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="541" name="Constant_295091" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="456" name="Constant_1979" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="542" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="457" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7700,17 +6806,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="625">
+				<port id="5" precision="FP32" names="620">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -7718,15 +6827,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="543" name="Constant_1384" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="458" name="Constant_1988" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="626">
+				<port id="0" precision="I64" names="621">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="544" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="459" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7739,7 +6848,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="627,query.13">
+				<port id="2" precision="FP32" names="622,query.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -7747,32 +6856,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="545" name="Constant_295097" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="460" name="Constant_2029" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="546" name="Constant_295100" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="461" name="Constant_2031" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="547" name="Constant_295103" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="462" name="Constant_2033" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="548" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="463" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -7781,17 +6889,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="634,q.5">
+				<port id="5" precision="FP32" names="629,q.5">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -7799,157 +6910,152 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="549" name="self.model.gpt_neox.layers.2.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="139523024" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.2.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="464" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="550" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="635">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="551" name="Constant_295109" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="465" name="Constant_2187" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="552" name="Constant_295112" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="466" name="Constant_2189" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="553" name="Constant_295115" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="467" name="Constant_2191" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="554" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="468" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="628">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="645,x2.9">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
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-				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>40</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="469" name="Constant_36922" type="Const" version="opset1">
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
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-		</layer>
-		<layer id="558" name="Gather_338094" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="470" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
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+				<port id="2" precision="FP32" names="646">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-		<layer id="560" name="Constant_432683" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="471" name="Constant_2084" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="561" name="Constant_432685" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="472" name="Constant_2128" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="562" name="Constant_432687" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="473" name="Constant_2130" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="563" name="Concat_432688" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="474" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -7960,42 +7066,62 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="640">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="564" name="Broadcast_432691" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="475" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="648">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="565" name="ReadValue_417330" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.2.keypresent.2.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="476" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.2.key">
+				<port id="2" precision="FP32" names="649">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8003,14 +7129,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="566" name="Constant_401902" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="567" name="Gather_401903" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="477" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8018,13 +7138,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="650,668">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8032,99 +7154,85 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="568" name="ShapeOf_338096" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="478" name="ReadValue_49782" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.2.keypresent.2.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="past_key_values.2.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="569" name="Constant_338097" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="570" name="Constant_338098" type="Const" version="opset1">
+		<layer id="479" name="Constant_47341" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="571" name="Gather_338099" type="Gather" version="opset8">
+		<layer id="480" name="Gather_47342" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="640" />
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="572" name="Constant_337604" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="481" name="Constant_1993" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="573" name="Reshape_340909" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="482" name="Constant_1995" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="574" name="__module.model.gpt_neox.layers.2.attention/aten::add_/Add" type="Add" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
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-					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="575" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="483" name="Constant_1997" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="576" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="484" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -8135,77 +7243,41 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
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-					<dim>80</dim>
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-		</layer>
-		<layer id="577" name="Constant_38239" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="578" name="__module.model.gpt_neox.layers.2.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
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-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="653">
+				<port id="5" precision="FP32" names="623">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="579" name="__module.model.gpt_neox.layers.2.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="485" name="Constant_2006" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="2" precision="FP32" names="654,cos.11">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64" names="624">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="580" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="486" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="658">
+				<port id="2" precision="FP32" names="625,key.9">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8213,24 +7285,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="581" name="Constant_295120" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="487" name="Constant_2049" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="488" name="Constant_2051" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="582" name="Constant_295119" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="489" name="Constant_2053" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="490" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8238,119 +7317,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="584" name="__module.model.gpt_neox.layers.2.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="585" name="__module.model.gpt_neox.layers.2.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="659,664" />
-			</output>
-		</layer>
-		<layer id="586" name="__module.model.gpt_neox.layers.2.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" />
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-		</layer>
-		<layer id="587" name="__module.model.gpt_neox.layers.2.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
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 			</input>
 			<output>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="631,k.5">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="589" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="491" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="651">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="590" name="Constant_295118" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="492" name="Constant_2330" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
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-		</layer>
-		<layer id="591" name="ScatterUpdate_295121" type="ScatterUpdate" version="opset3">
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 				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
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-				</port>
 			</output>
 		</layer>
-		<layer id="592" name="Constant_295124" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="493" name="Constant_2332" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="593" name="Constant_295127" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="494" name="Constant_2334" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="594" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="495" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8359,17 +7397,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="668,x2.9">
+				<port id="5" precision="FP32" names="661,x2.11">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8377,8 +7418,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="595" name="Constant_325214" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="496" name="Constant_36923" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8388,7 +7429,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="596" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="497" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8405,7 +7446,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="669">
+				<port id="2" precision="FP32" names="662">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8413,24 +7454,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="597" name="Constant_295172" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="498" name="Constant_2227" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="598" name="Constant_295177" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="499" name="Constant_2271" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="500" name="Constant_2273" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="599" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="501" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8439,17 +7487,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="663">
+				<port id="5" precision="FP32" names="656">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8457,7 +7508,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="600" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="502" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8474,7 +7525,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="671">
+				<port id="2" precision="FP32" names="664">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8482,101 +7533,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="601" name="self.model.gpt_neox.layers.2.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.2.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="602" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="603" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="604" name="__module.model.gpt_neox.layers.2.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="648,651,sin.9">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="605" name="Constant_38242" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="606" name="__module.model.gpt_neox.layers.2.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="503" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="656">
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="607" name="__module.model.gpt_neox.layers.2.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="657,sin.11">
+				<port id="2" precision="FP32" names="665">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="608" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="504" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8587,13 +7569,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="672">
+				<port id="2" precision="FP32" names="666,670">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8601,8 +7583,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="609" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="505" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8618,7 +7600,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="673,691,701,query.15,query.17">
+				<port id="2" precision="FP32" names="present.2.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8626,28 +7608,47 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="610" name="Constant_1398" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
-			<output>
-				<port id="0" precision="I64" names="629">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="611" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="506" name="ReadValue_49784" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.2.valuepresent.2.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.2.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="507" name="Constant_47344" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="508" name="Gather_47345" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="630,key.13">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8655,51 +7656,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="612" name="Constant_295223" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="509" name="Constant_2011" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="613" name="Constant_295226" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="510" name="Constant_2013" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="614" name="Constant_295229" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="511" name="Constant_2015" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="615" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="512" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="626">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="513" name="Constant_2024" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="627">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="514" name="__module.model.gpt_neox.layers.2.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="636,k.5">
+				<port id="2" precision="FP32" names="628">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8707,8 +7739,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="616" name="__module.model.gpt_neox.layers.2.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="515" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -8718,13 +7750,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="674">
+				<port id="2" precision="FP32" names="present.2.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -8732,23 +7764,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="617" name="Constant_295233" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="618" name="Constant_295232" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="516" name="Constant_2406" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="619" name="__module.model.gpt_neox.layers.2.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
+		<layer id="517" name="ShapeOf_38345" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -8764,261 +7788,168 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="620" name="__module.model.gpt_neox.layers.2.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="518" name="Constant_38346" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="621" name="__module.model.gpt_neox.layers.2.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="675,680" />
 			</output>
 		</layer>
-		<layer id="622" name="__module.model.gpt_neox.layers.2.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="519" name="Constant_38347" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="623" name="__module.model.gpt_neox.layers.2.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
 				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="677,678,682,683" />
 			</output>
 		</layer>
-		<layer id="624" name="Constant_337608" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
+		<layer id="520" name="Gather_38348" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="625" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="627" name="ScatterUpdate_295234" type="ScatterUpdate" version="opset3">
+		<layer id="521" name="ShapeOf_38349" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="628" name="Constant_295237" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="522" name="Constant_38350" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="629" name="Constant_295240" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="523" name="Constant_38351" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="630" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="524" name="Gather_38352" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-					<dim>40</dim>
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-		<layer id="631" name="Constant_325215" type="Const" version="opset1">
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-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="632" name="__module.model.gpt_neox.layers.2.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="525" name="Add_38353" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
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-					<dim>40</dim>
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-		</layer>
-		<layer id="633" name="Constant_295285" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64" names="675">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="634" name="Constant_295290" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="526" name="Constant_2409" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="527" name="__module.model.gpt_neox.layers.2.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
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 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="679">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="636" name="__module.model.gpt_neox.layers.2.attention/aten::cat/Concat_2" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="528" name="__module.model.gpt_neox.layers.2.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="688">
+				<port id="4" precision="FP32" names="680,attn_output.17">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -9026,8 +7957,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="638" name="__module.model.gpt_neox.layers.2.attention/aten::add/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="529" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="530" name="__module.model.gpt_neox.layers.2.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -9035,1032 +7973,722 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="689,693">
+				<port id="2" precision="FP32" names="681">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="639" name="__module.model.gpt_neox.layers.2.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="531" name="Constant_40537" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="532" name="__module.model.gpt_neox.layers.2.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.2.key">
+				<port id="2" precision="FP32" names="684">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="640" name="Constant_432703" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="641" name="Constant_432696" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="533" name="self.model.gpt_neox.layers.2.attention.dense.weight" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="642" name="Constant_432698" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="534" name="Convert_176993" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
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 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="643" name="Constant_432700" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="535" name="self.model.gpt_neox.layers.2.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="224730312" size="25600" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="644" name="Concat_432701" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="536" name="Convert_176995" type="Convert" version="opset1">
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 			<input>
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+		<layer id="568" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="238528712" size="13107200" />
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 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>20</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="706" name="Convert_448953" type="Convert" version="opset1">
+		<layer id="569" name="Convert_176029" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
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 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u4" shape="2560, 20, 1" offset="230286532" size="25600" />
+		<layer id="570" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="251635912" size="102400" />
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 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>20</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="708" name="Convert_448955" type="Convert" version="opset1">
+		<layer id="571" name="Convert_176031" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
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 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="709" name="self.model.gpt_neox.layers.2.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="572" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
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 					<dim>128</dim>
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 		</layer>
-		<layer id="710" name="self.model.gpt_neox.layers.2.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="230312132" size="102400" />
+		<layer id="573" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="251738312" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="711" name="self.model.gpt_neox.layers.2.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="574" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
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 		</layer>
-		<layer id="712" name="Constant_448960" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="575" name="Constant_176036" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="713" name="Reshape_448961" type="Reshape" version="opset1">
+		<layer id="576" name="Reshape_176037" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -10070,36 +8698,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="714" name="self.model.gpt_neox.layers.2.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="577" name="__module.model.gpt_neox.layers.2.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="715" name="__module.model.gpt_neox.layers.2.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="578" name="__module.model.gpt_neox.layers.2.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
@@ -10110,17 +8741,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="716" name="Constant_325216" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="230414532" size="10240" />
+		<layer id="579" name="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="252147912" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.2.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="580" name="__module.model.gpt_neox.layers.2.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="717" name="__module.model.gpt_neox.layers.2.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="581" name="__module.model.gpt_neox.layers.2.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10129,20 +8774,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="729,731,input.11">
+				<port id="2" precision="FP32" names="706,input.11">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="718" name="__module.model.gpt_neox.layers.2/aten::add/Add" type="Add" version="opset1">
+		<layer id="582" name="__module.model.gpt_neox.layers.2/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10157,14 +8800,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="735,attn_output.11">
+				<port id="2" precision="FP32" names="708,710,hidden_states.15">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="719" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="583" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -10172,7 +8815,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="720" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="584" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10192,8 +8835,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="721" name="Constant_325217" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="230424772" size="10240" />
+		<layer id="585" name="Constant_36927" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="252153032" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10202,7 +8845,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="722" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="586" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10224,8 +8867,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="723" name="Constant_325218" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="230435012" size="10240" />
+		<layer id="587" name="Constant_36928" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="252163272" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10234,7 +8877,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="724" name="__module.model.gpt_neox.layers.2.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="588" name="__module.model.gpt_neox.layers.3.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -10249,134 +8892,134 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="739">
+				<port id="2" precision="FP32" names="720,hidden_states.13">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="725" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 128" offset="230445252" size="13107200" />
+		<layer id="589" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 128" offset="252173512" size="9830400" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="726" name="Convert_448964" type="Convert" version="opset1">
+		<layer id="590" name="Convert_176652" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="727" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 1" offset="243552452" size="102400" />
+		<layer id="591" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 1" offset="262003912" size="76800" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="728" name="Convert_448966" type="Convert" version="opset1">
+		<layer id="592" name="Convert_176654" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="729" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="593" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="730" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 20, 1" offset="243654852" size="409600" />
+		<layer id="594" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="262080712" size="307200" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="731" name="self.model.gpt_neox.layers.2.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="595" name="self.model.gpt_neox.layers.3.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="732" name="Constant_448971" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="162082980" size="16" />
+		<layer id="596" name="Constant_176659" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="139492128" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="733" name="Reshape_448972" type="Reshape" version="opset1">
+		<layer id="597" name="Reshape_176660" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
@@ -10386,27 +9029,27 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
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@@ -10415,7 +9058,7 @@
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@@ -10423,634 +9066,525 @@
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 		</layer>
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 		</layer>
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+		<layer id="628" name="ReadValue_49826" type="ReadValue" version="opset6">
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 			</input>
 			<output>
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 		</layer>
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+		<layer id="629" name="Constant_47347" type="Const" version="opset1">
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+		<layer id="630" name="Gather_47348" type="Gather" version="opset8">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="631" name="Constant_2623" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="632" name="Constant_2625" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="776" name="Constant_295442" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="633" name="Constant_2627" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="634" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11059,17 +9593,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="735">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -11077,15 +9614,15 @@
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 		</layer>
-		<layer id="778" name="Constant_1965" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="635" name="Constant_2636" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="736">
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 			</output>
 		</layer>
-		<layer id="779" name="__module.model.gpt_neox.layers.3.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="636" name="__module.model.gpt_neox.layers.3.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11098,7 +9635,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="776,query.19">
+				<port id="2" precision="FP32" names="737,key.13">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11106,32 +9643,31 @@
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 			</output>
 		</layer>
-		<layer id="780" name="Constant_295448" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="637" name="Constant_2679" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="781" name="Constant_295451" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="638" name="Constant_2681" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="782" name="Constant_295454" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="639" name="Constant_2683" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="783" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="640" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11140,17 +9676,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="783,q.7">
+				<port id="5" precision="FP32" names="743,k.7">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11158,157 +9697,152 @@
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 			</output>
 		</layer>
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-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.3.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="641" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="785" name="__module.model.gpt_neox.layers.3.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
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 		</layer>
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+		<layer id="642" name="Constant_2960" type="Const" version="opset1">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="643" name="Constant_2962" type="Const" version="opset1">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="644" name="Constant_2964" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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 					<dim>-1</dim>
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+					<dim>80</dim>
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+					<dim>1</dim>
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+					<dim>40</dim>
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 		</layer>
-		<layer id="791" name="Constant_340979" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="646" name="Constant_36931" type="Const" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			</output>
-		</layer>
-		<layer id="793" name="Gather_338185" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="647" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP32" names="774">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-		<layer id="795" name="Constant_432709" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="648" name="Constant_2857" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="796" name="Constant_432711" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="649" name="Constant_2901" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="797" name="Constant_432713" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="650" name="Constant_2903" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="798" name="Concat_432714" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="651" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -11319,42 +9853,62 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="768">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="799" name="Broadcast_432717" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="652" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="776">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="800" name="ReadValue_417374" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.3.keypresent.3.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="653" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.3.key">
+				<port id="2" precision="FP32" names="777">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11362,14 +9916,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="801" name="Constant_401908" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="802" name="Gather_401909" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="654" name="__module.model.gpt_neox.layers.3.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11377,13 +9925,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="778,782">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11391,8 +9941,8 @@
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 			</output>
 		</layer>
-		<layer id="803" name="ShapeOf_338187" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="655" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11400,90 +9950,101 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="present.3.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="804" name="Constant_338188" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+		<layer id="656" name="ReadValue_49828" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.3.valuepresent.3.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="FP32" names="past_key_values.3.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="805" name="Constant_338189" type="Const" version="opset1">
+		<layer id="657" name="Constant_47350" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="806" name="Gather_338190" type="Gather" version="opset8">
+		<layer id="658" name="Gather_47351" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="789" />
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="807" name="Constant_337614" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="659" name="Constant_2641" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="660" name="Constant_2643" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
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-		</layer>
-		<layer id="809" name="__module.model.gpt_neox.layers.3.attention/aten::add_/Add" type="Add" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
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-					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="810" name="__module.model.gpt_neox.layers.3.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="661" name="Constant_2645" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="662" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -11494,61 +10055,50 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="796,799,cos.13">
+				<port id="5" precision="FP32" names="738">
 					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="812" name="Constant_38245" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
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-		<layer id="813" name="__module.model.gpt_neox.layers.3.attention/aten::index/Gather" type="Gather" version="opset8">
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-					<dim>80</dim>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
+		<layer id="663" name="Constant_2654" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="3" precision="FP32" names="802">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64" names="739">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="814" name="__module.model.gpt_neox.layers.3.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="664" name="__module.model.gpt_neox.layers.3.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="803,cos.15">
+				<port id="2" precision="FP32" names="740">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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 		</layer>
-		<layer id="815" name="__module.model.gpt_neox.layers.3.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="665" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11558,13 +10108,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="807">
+				<port id="2" precision="FP32" names="present.3.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -11572,23 +10122,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="816" name="Constant_295471" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="817" name="Constant_295470" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="666" name="Constant_3036" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="818" name="__module.model.gpt_neox.layers.3.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
+		<layer id="667" name="ShapeOf_38418" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -11604,192 +10146,184 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="819" name="__module.model.gpt_neox.layers.3.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="668" name="Constant_38419" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="669" name="Constant_38420" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="820" name="__module.model.gpt_neox.layers.3.attention/aten::size/Gather_5" type="Gather" version="opset8">
+		<layer id="670" name="Gather_38421" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
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-				<port id="2" precision="I32" />
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-			<output>
-				<port id="3" precision="I64" names="808,813" />
-			</output>
-		</layer>
-		<layer id="821" name="__module.model.gpt_neox.layers.3.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="822" name="__module.model.gpt_neox.layers.3.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
+		<layer id="671" name="ShapeOf_38422" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="810,811,815,816" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="823" name="Constant_337616" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="672" name="Constant_38423" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
-			<input>
+		<layer id="673" name="Constant_38424" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
 				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="674" name="Gather_38425" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-		<layer id="825" name="Constant_295469" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="826" name="ScatterUpdate_295472" type="ScatterUpdate" version="opset3">
+		<layer id="675" name="Add_38426" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
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 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
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-				</port>
-			</output>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64" names="787">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="828" name="Constant_295478" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="676" name="Constant_3039" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="677" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
+				<port id="5" precision="FP32" names="791">
 					<dim>-1</dim>
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-		</layer>
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-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="831" name="__module.model.gpt_neox.layers.3.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="678" name="__module.model.gpt_neox.layers.3.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="818">
+				<port id="4" precision="FP32" names="792,attn_output.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="832" name="Constant_295523" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="833" name="Constant_295528" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="679" name="__module.model.gpt_neox.layers.3.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="834" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="680" name="__module.model.gpt_neox.layers.3.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -11797,1081 +10331,1195 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="812">
+				<port id="2" precision="FP32" names="793">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="835" name="__module.model.gpt_neox.layers.3.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="681" name="Constant_40538" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="682" name="__module.model.gpt_neox.layers.3.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
-					<dim>40</dim>
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-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="820">
+				<port id="2" precision="FP32" names="796">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="836" name="self.model.gpt_neox.layers.3.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="683" name="self.model.gpt_neox.layers.3.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="262418632" size="3276800" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.3.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="837" name="__module.model.gpt_neox.layers.3.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="684" name="Convert_177004" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="838" name="__module.model.gpt_neox.layers.3.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="685" name="self.model.gpt_neox.layers.3.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="265695432" size="25600" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="686" name="Convert_177006" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
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+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
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+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I64">
+			</output>
+		</layer>
+		<layer id="687" name="self.model.gpt_neox.layers.3.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP16">
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+					<dim>20</dim>
+					<dim>128</dim>
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+				<port id="1" precision="FP16">
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+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>80</dim>
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+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="840" name="Constant_38248" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="688" name="self.model.gpt_neox.layers.3.attention.dense.weight/scale" type="Const" version="opset1">
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 			<output>
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+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
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 			<input>
-				<port id="0" precision="FP32">
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-					<dim>80</dim>
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@@ -12879,88 +11527,82 @@
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+					<dim>-1</dim>
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 		</layer>
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+		<layer id="758" name="Constant_3248" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64" names="845">
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 		</layer>
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+		<layer id="759" name="__module.model.gpt_neox.layers.4.attention/aten::permute/Transpose" type="Transpose" version="opset1">
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-					<dim>2048</dim>
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+					<dim>-1</dim>
+					<dim>32</dim>
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 				<port id="1" precision="I64">
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-				</port>
-				<port id="3" precision="I64">
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 			</input>
 			<output>
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-					<dim>1</dim>
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-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="915" name="Constant_295776" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="760" name="Constant_3289" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="916" name="Constant_295772" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="761" name="Constant_3291" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="917" name="Constant_295771" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="762" name="Constant_3293" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="918" name="ScatterUpdate_295777" type="ScatterUpdate" version="opset3">
+		<layer id="763" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -12968,186 +11610,168 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="919" name="Constant_295780" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="853,q.9">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="920" name="__module.model.gpt_neox.layers.3.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="764" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="861,862">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="859">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="921" name="__module.model.gpt_neox.layers.3.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
+		<layer id="765" name="Constant_3447" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="922" name="__module.model.gpt_neox.layers.3.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="145028188" size="4" />
+		<layer id="766" name="Constant_3449" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="849" />
-			</output>
-		</layer>
-		<layer id="923" name="__module.model.gpt_neox.layers.3.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-			</input>
+			</output>
+		</layer>
+		<layer id="767" name="Constant_3451" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="3" precision="FP32" names="863,causal_mask.13">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="924" name="Add_315204" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="768" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
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+				<port id="1" precision="I64">
 					<dim>1</dim>
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+				<port id="2" precision="I64">
 					<dim>1</dim>
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 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
+				<port id="3" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
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-		<layer id="925" name="ShapeOf_315205" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="869,x2.17">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="926" name="Constant_338269" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="769" name="Constant_36938" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="927" name="Constant_338270" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="928" name="Gather_338271" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="770" name="__module.model.gpt_neox.layers.4.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="847">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="870">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="929" name="Constant_267991" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="771" name="Constant_3344" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="930" name="Constant_267993" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="772" name="Constant_3388" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="931" name="Constant_267995" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="773" name="Constant_3390" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="932" name="__module.model.gpt_neox.layers.3.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="774" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -13158,53 +11782,46 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="864">
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-		<layer id="933" name="Maximum_315206" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="864">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="934" name="__module.model.gpt_neox.layers.3.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="775" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="866">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="872">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="935" name="__module.model.gpt_neox.layers.3.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="776" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -13214,25 +11831,38 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="873">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+			</output>
+		</layer>
+		<layer id="777" name="__module.model.gpt_neox.layers.4.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="867,868,sdpa_result.7,tensor.13">
+				<port id="2" precision="FP32" names="874,892">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -13240,723 +11870,989 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="936" name="Constant_2434" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="869">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="937" name="__module.model.gpt_neox.layers.3.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="778" name="ReadValue_49838" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.4.keypresent.4.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="870">
-					<dim>-1</dim>
+				<port id="1" precision="FP32" names="past_key_values.4.key">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="938" name="__module.model.gpt_neox.layers.3.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
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+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="908">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u4" shape="2560, 80, 128" offset="285096132" size="13107200" />
+		<layer id="833" name="self.model.gpt_neox.layers.4.attention.dense.weight" type="Const" version="opset1">
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 					<dim>2560</dim>
-					<dim>80</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="975" name="Convert_449019" type="Convert" version="opset1">
+		<layer id="834" name="Convert_177015" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
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 			<output>
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 					<dim>2560</dim>
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 					<dim>128</dim>
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 			</output>
 		</layer>
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-			<data element_type="u4" shape="2560, 80, 1" offset="298203332" size="102400" />
+		<layer id="835" name="self.model.gpt_neox.layers.4.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="306660552" size="25600" />
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 				<port id="0" precision="U4">
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="977" name="Convert_449021" type="Convert" version="opset1">
+		<layer id="836" name="Convert_177017" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
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 			<output>
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 					<dim>2560</dim>
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 		</layer>
-		<layer id="978" name="self.model.gpt_neox.layers.3.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="837" name="self.model.gpt_neox.layers.4.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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 					<dim>2560</dim>
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 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
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 					<dim>128</dim>
 				</port>
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 		</layer>
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-			<data element_type="f16" shape="2560, 80, 1" offset="298305732" size="409600" />
+		<layer id="838" name="self.model.gpt_neox.layers.4.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="306686152" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="980" name="self.model.gpt_neox.layers.3.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="839" name="self.model.gpt_neox.layers.4.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
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 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
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 		</layer>
-		<layer id="981" name="Constant_449026" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="840" name="Constant_177022" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="982" name="Reshape_449027" type="Reshape" version="opset1">
+		<layer id="841" name="Reshape_177023" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -13966,36 +12862,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="983" name="self.model.gpt_neox.layers.3.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="842" name="self.model.gpt_neox.layers.4.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="984" name="__module.model.gpt_neox.layers.3.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="843" name="__module.model.gpt_neox.layers.4.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -14006,8 +12902,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="985" name="Constant_325230" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="298715332" size="10240" />
+		<layer id="844" name="Constant_36940" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="306788552" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14016,7 +12912,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="986" name="__module.model.gpt_neox.layers.3.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="845" name="__module.model.gpt_neox.layers.4.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14031,14 +12927,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="897,input.17">
+				<port id="2" precision="FP32" names="911,913,input.17">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="987" name="__module.model.gpt_neox.layers.3/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="846" name="__module.model.gpt_neox.layers.4/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14053,14 +12949,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="899,901,hidden_states.9">
+				<port id="2" precision="FP32" names="917,attn_output.39">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="988" name="__module.model.gpt_neox.layers.4.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="847" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -14068,7 +12964,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="989" name="__module.model.gpt_neox.layers.4.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="848" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14088,8 +12984,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="990" name="Constant_325231" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="298725572" size="10240" />
+		<layer id="849" name="Constant_36941" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="306798792" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14098,7 +12994,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="991" name="__module.model.gpt_neox.layers.4.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="850" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14120,8 +13016,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="992" name="Constant_325232" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="298735812" size="10240" />
+		<layer id="851" name="Constant_36942" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="306809032" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -14130,7 +13026,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="993" name="__module.model.gpt_neox.layers.4.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="852" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -14145,134 +13041,134 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="911">
+				<port id="2" precision="FP32" names="921">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="994" name="self.model.gpt_neox.layers.4.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="298746052" size="9830400" />
+		<layer id="853" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="306819272" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="995" name="Convert_449030" type="Convert" version="opset1">
+		<layer id="854" name="Convert_176059" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="996" name="self.model.gpt_neox.layers.4.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="308576452" size="76800" />
+		<layer id="855" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="319926472" size="102400" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="997" name="Convert_449032" type="Convert" version="opset1">
+		<layer id="856" name="Convert_176061" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="998" name="self.model.gpt_neox.layers.4.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="857" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="999" name="self.model.gpt_neox.layers.4.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="308653252" size="307200" />
+		<layer id="858" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="320028872" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1000" name="self.model.gpt_neox.layers.4.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="859" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
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 			</output>
 		</layer>
-		<layer id="1001" name="Constant_449037" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="139492128" size="16" />
+		<layer id="860" name="Constant_176066" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1002" name="Reshape_449038" type="Reshape" version="opset1">
+		<layer id="861" name="Reshape_176067" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
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@@ -14282,27 +13178,30 @@
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 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1003" name="self.model.gpt_neox.layers.4.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="862" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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+					<dim>10240</dim>
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 			<output>
 				<port id="1" precision="FP32">
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+					<dim>10240</dim>
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 		</layer>
-		<layer id="1004" name="__module.model.gpt_neox.layers.4.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="863" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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@@ -14311,7 +13210,7 @@
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 				<port id="1" precision="FP32">
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+					<dim>10240</dim>
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@@ -14319,530 +13218,666 @@
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 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 7680" offset="308960452" size="30720" />
+		<layer id="864" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="320438472" size="20480" />
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+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="865" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
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 		</layer>
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+		<layer id="866" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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+		<layer id="872" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
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@@ -14853,102 +13888,73 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
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-				<port id="1" precision="FP32">
-					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="1051" name="Constant_295822" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="911" name="Constant_3921" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="1052" name="Constant_295821" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="912" name="Constant_3923" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data output_type="i64" />
+		<layer id="913" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -14956,119 +13962,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="1054" name="__module.model.gpt_neox.layers.4.attention/aten::size/Constant_5" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="957,962" />
-			</output>
-		</layer>
-		<layer id="1056" name="__module.model.gpt_neox.layers.4.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="1057" name="__module.model.gpt_neox.layers.4.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="959,960,964,965" />
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-		<layer id="1058" name="Constant_337626" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="965,q.11">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1059" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="914" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="971">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1060" name="Constant_295820" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="915" name="Constant_4077" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="1061" name="ScatterUpdate_295823" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
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-				<port id="3" precision="I32">
-					<dim>1</dim>
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-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="1062" name="Constant_295826" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="916" name="Constant_4079" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1063" name="Constant_295829" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="917" name="Constant_4081" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1064" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="918" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15077,17 +14042,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="966,x2.17">
+				<port id="5" precision="FP32" names="981,x2.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15095,8 +14063,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1065" name="Constant_325234" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="919" name="Constant_36946" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15106,7 +14074,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1066" name="__module.model.gpt_neox.layers.4.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="920" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15123,7 +14091,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="967">
+				<port id="2" precision="FP32" names="982">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15131,24 +14099,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1067" name="Constant_295874" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="921" name="Constant_3974" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1068" name="Constant_295879" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="922" name="Constant_4018" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="923" name="Constant_4020" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1069" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="924" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15157,17 +14132,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="961">
+				<port id="5" precision="FP32" names="976">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15175,7 +14153,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1070" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="925" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15192,7 +14170,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="969">
+				<port id="2" precision="FP32" names="984">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15200,102 +14178,83 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1071" name="self.model.gpt_neox.layers.4.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.4.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1072" name="__module.model.gpt_neox.layers.4.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1073" name="__module.model.gpt_neox.layers.4.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1074" name="__module.model.gpt_neox.layers.4.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="926" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="946,949,sin.17">
+				<port id="2" precision="FP32" names="985">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1075" name="Constant_38254" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="1076" name="__module.model.gpt_neox.layers.4.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="927" name="__module.model.gpt_neox.layers.5.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="954">
+				<port id="2" precision="FP32" names="1004,986">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1077" name="__module.model.gpt_neox.layers.4.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="928" name="ReadValue_49842" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.5.keypresent.5.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="955,sin.19">
+				<port id="1" precision="FP32" names="past_key_values.5.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1078" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="929" name="Constant_47359" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="930" name="Gather_47360" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15303,15 +14262,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="970">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15319,40 +14276,69 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1079" name="__module.model.gpt_neox.layers.4.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="931" name="Constant_3883" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="932" name="Constant_3885" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="933" name="Constant_3887" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="934" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
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-					<dim>80</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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+				</port>
+				<port id="3" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="971,989,999,query.27,query.29">
+				<port id="5" precision="FP32" names="959">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
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 		</layer>
-		<layer id="1080" name="Constant_2560" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="935" name="Constant_3896" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="927">
+				<port id="0" precision="I64" names="960">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1081" name="__module.model.gpt_neox.layers.4.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="936" name="__module.model.gpt_neox.layers.5.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15365,7 +14351,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="928,key.25">
+				<port id="2" precision="FP32" names="961,key.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15373,32 +14359,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1082" name="Constant_295925" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="937" name="Constant_3939" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1083" name="Constant_295928" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="938" name="Constant_3941" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1084" name="Constant_295931" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="939" name="Constant_3943" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1085" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="940" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15407,17 +14392,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="934,k.9">
+				<port id="5" precision="FP32" names="967,k.11">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15425,7 +14413,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1086" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="941" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15442,7 +14430,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="972">
+				<port id="2" precision="FP32" names="987">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15450,144 +14438,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1087" name="Constant_295935" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1088" name="Constant_295934" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="942" name="Constant_4220" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1089" name="__module.model.gpt_neox.layers.4.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1090" name="__module.model.gpt_neox.layers.4.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="1091" name="__module.model.gpt_neox.layers.4.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="973,978" />
-			</output>
-		</layer>
-		<layer id="1092" name="__module.model.gpt_neox.layers.4.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="1093" name="__module.model.gpt_neox.layers.4.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="975,976,980,981" />
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-		</layer>
-		<layer id="1094" name="Constant_337628" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="943" name="Constant_4222" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1095" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1096" name="Constant_295933" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="944" name="Constant_4224" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1097" name="ScatterUpdate_295936" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1098" name="Constant_295939" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1099" name="Constant_295942" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="1100" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="945" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15596,17 +14471,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="982,x2.19">
+				<port id="5" precision="FP32" names="997,x2.23">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15614,8 +14492,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1101" name="Constant_325235" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="946" name="Constant_36947" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -15625,7 +14503,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1102" name="__module.model.gpt_neox.layers.4.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="947" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15642,7 +14520,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="983">
+				<port id="2" precision="FP32" names="998">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15650,24 +14528,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1103" name="Constant_295987" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="948" name="Constant_4117" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1104" name="Constant_295992" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="949" name="Constant_4161" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="950" name="Constant_4163" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1105" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="951" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15676,17 +14561,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="977">
+				<port id="5" precision="FP32" names="992">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15694,7 +14582,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1106" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="952" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15711,7 +14599,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="985">
+				<port id="2" precision="FP32" names="1000">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15719,7 +14607,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1107" name="__module.model.gpt_neox.layers.4.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="953" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15736,7 +14624,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="986">
+				<port id="2" precision="FP32" names="1001">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15744,7 +14632,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1108" name="__module.model.gpt_neox.layers.4.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="954" name="__module.model.gpt_neox.layers.5.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15761,7 +14649,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="987,991">
+				<port id="2" precision="FP32" names="1002,1006">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15769,7 +14657,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1109" name="__module.model.gpt_neox.layers.4.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="955" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15786,7 +14674,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.4.key">
+				<port id="2" precision="FP32" names="present.5.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15794,77 +14682,8 @@
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 			</output>
 		</layer>
-		<layer id="1110" name="Constant_432755" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		<layer id="1111" name="Constant_432748" type="Const" version="opset1">
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-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
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-			<data variable_id="past_key_values.4.valuepresent.4.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="956" name="ReadValue_49844" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.5.valuepresent.5.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15874,7 +14693,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.4.value">
+				<port id="1" precision="FP32" names="past_key_values.5.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15882,13 +14701,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1117" name="Constant_401917" type="Const" version="opset1">
+		<layer id="957" name="Constant_47362" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1118" name="Gather_401918" type="Gather" version="opset8">
+		<layer id="958" name="Gather_47363" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -15911,32 +14730,31 @@
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 			</output>
 		</layer>
-		<layer id="1119" name="Constant_296037" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="959" name="Constant_3901" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="1120" name="Constant_296040" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="960" name="Constant_3903" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="961" name="Constant_3905" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="962" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15945,17 +14763,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="962">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -15963,15 +14784,15 @@
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 			</output>
 		</layer>
-		<layer id="1123" name="Constant_2574" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="963" name="Constant_3914" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="963">
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 				</port>
 			</output>
 		</layer>
-		<layer id="1124" name="__module.model.gpt_neox.layers.4.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="964" name="__module.model.gpt_neox.layers.5.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -15984,7 +14805,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="931">
+				<port id="2" precision="FP32" names="964">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -15992,7 +14813,7 @@
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 			</output>
 		</layer>
-		<layer id="1125" name="__module.model.gpt_neox.layers.4.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="965" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16009,7 +14830,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.4.value">
+				<port id="2" precision="FP32" names="present.5.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -16017,85 +14838,62 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1126" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="140833836" size="4194304" />
+		<layer id="966" name="Constant_4296" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="1008">
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+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="1127" name="Constant_296047" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028140" size="24" />
+		<layer id="967" name="ShapeOf_38564" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1128" name="Constant_296046" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="968" name="Constant_38565" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-		<layer id="1130" name="Constant_338284" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="1131" name="Constant_338285" type="Const" version="opset1">
+		<layer id="969" name="Constant_38566" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1132" name="Gather_338286" type="Gather" version="opset8">
+		<layer id="970" name="Gather_38567" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
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-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="1003" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1134" name="ShapeOf_338354" type="ShapeOf" version="opset3">
+		<layer id="971" name="ShapeOf_38568" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16111,328 +14909,62 @@
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 			</output>
 		</layer>
-		<layer id="1135" name="Constant_338355" type="Const" version="opset1">
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-		<layer id="1136" name="Constant_338356" type="Const" version="opset1">
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-		<layer id="1138" name="__module.model.gpt_neox.layers.4.attention/aten::sub/Subtract" type="Subtract" version="opset1">
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-				<port id="1" precision="I64" />
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-		<layer id="1141" name="Constant_296045" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="972" name="Constant_38569" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+				<port id="2" precision="I64" />
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-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="1155" name="__module.model.gpt_neox.layers.4.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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 					<dim>1</dim>
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 				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				</port>
-				<port id="3" precision="I64">
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-				<port id="4" precision="BOOL" names="1010,1011">
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
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-			</output>
-		</layer>
-		<layer id="1156" name="__module.model.gpt_neox.layers.4.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		</layer>
-		<layer id="1157" name="__module.model.gpt_neox.layers.4.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="145028188" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="998" />
-			</output>
-		</layer>
-		<layer id="1158" name="__module.model.gpt_neox.layers.4.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
 					<dim>1</dim>
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 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="1012,causal_mask.17">
-					<dim>1</dim>
+				<port id="2" precision="I64" names="1011">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1159" name="Add_315276" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
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-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
+		<layer id="976" name="Constant_4299" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="2" precision="FP32">
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+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1160" name="ShapeOf_315277" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="977" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16440,74 +14972,6 @@
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="1161" name="Constant_338360" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="1162" name="Constant_338361" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="1163" name="Gather_338362" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" names="996">
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-				</port>
-			</output>
-		</layer>
-		<layer id="1164" name="Constant_268001" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="1165" name="Constant_268003" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="1166" name="Constant_268005" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="1167" name="__module.model.gpt_neox.layers.4.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
@@ -16517,44 +14981,12 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="1013">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1168" name="Maximum_315278" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
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-				</port>
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-				</port>
-			</output>
-		</layer>
-		<layer id="1169" name="__module.model.gpt_neox.layers.4.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1015">
+				<port id="5" precision="FP32" names="1015">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -16562,7 +14994,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1170" name="__module.model.gpt_neox.layers.4.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="978" name="__module.model.gpt_neox.layers.5.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16591,7 +15023,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1016,1017,sdpa_result.9,tensor.17">
+				<port id="4" precision="FP32" names="1016,attn_output.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -16599,15 +15031,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1171" name="Constant_3015" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="979" name="__module.model.gpt_neox.layers.5.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64" names="1018">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1172" name="__module.model.gpt_neox.layers.4.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="980" name="__module.model.gpt_neox.layers.5.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -16615,12 +15047,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1019">
+				<port id="2" precision="FP32" names="1017">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -16628,15 +15060,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1173" name="__module.model.gpt_neox.layers.4.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="981" name="Constant_40540" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1174" name="__module.model.gpt_neox.layers.4.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="982" name="__module.model.gpt_neox.layers.5.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16650,15 +15082,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1024">
+				<port id="2" precision="FP32" names="1020">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1175" name="self.model.gpt_neox.layers.4.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 128" offset="308991172" size="3276800" />
+		<layer id="983" name="self.model.gpt_neox.layers.5.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="344348872" size="3276800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -16667,7 +15099,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1176" name="Convert_449041" type="Convert" version="opset1">
+		<layer id="984" name="Convert_177026" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -16684,8 +15116,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1177" name="self.model.gpt_neox.layers.4.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 1" offset="312267972" size="25600" />
+		<layer id="985" name="self.model.gpt_neox.layers.5.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="347625672" size="25600" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -16694,7 +15126,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1178" name="Convert_449043" type="Convert" version="opset1">
+		<layer id="986" name="Convert_177028" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -16711,7 +15143,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1179" name="self.model.gpt_neox.layers.4.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="987" name="self.model.gpt_neox.layers.5.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16733,8 +15165,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1180" name="self.model.gpt_neox.layers.4.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="312293572" size="102400" />
+		<layer id="988" name="self.model.gpt_neox.layers.5.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="347651272" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -16743,7 +15175,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1181" name="self.model.gpt_neox.layers.4.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="989" name="self.model.gpt_neox.layers.5.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16765,15 +15197,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1182" name="Constant_449048" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="990" name="Constant_177033" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1183" name="Reshape_449049" type="Reshape" version="opset1">
+		<layer id="991" name="Reshape_177034" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16792,7 +15224,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1184" name="self.model.gpt_neox.layers.4.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="992" name="self.model.gpt_neox.layers.5.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -16807,7 +15239,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1185" name="__module.model.gpt_neox.layers.4.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="993" name="__module.model.gpt_neox.layers.5.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16828,8 +15260,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1186" name="Constant_325236" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="312395972" size="10240" />
+		<layer id="994" name="Constant_36948" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="347753672" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16838,7 +15270,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1187" name="__module.model.gpt_neox.layers.4.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="995" name="__module.model.gpt_neox.layers.5.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16853,14 +15285,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1027,1029,input.19">
+				<port id="2" precision="FP32" names="1023,1025,input.21">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1188" name="__module.model.gpt_neox.layers.4/aten::add/Add" type="Add" version="opset1">
+		<layer id="996" name="__module.model.gpt_neox.layers.5/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16875,14 +15307,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1033,attn_output.19">
+				<port id="2" precision="FP32" names="1029,attn_output.47">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1189" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="997" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -16890,7 +15322,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1190" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="998" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16910,8 +15342,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1191" name="Constant_325237" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="312406212" size="10240" />
+		<layer id="999" name="Constant_36949" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="347763912" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16920,7 +15352,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1192" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1000" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16942,8 +15374,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1193" name="Constant_325238" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="312416452" size="10240" />
+		<layer id="1001" name="Constant_36950" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="347774152" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -16952,7 +15384,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1194" name="__module.model.gpt_neox.layers.4.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1002" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -16967,15 +15399,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1037">
+				<port id="2" precision="FP32" names="1033">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1195" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 128" offset="312426692" size="13107200" />
+		<layer id="1003" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="347784392" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>10240</dim>
@@ -16984,7 +15416,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1196" name="Convert_449052" type="Convert" version="opset1">
+		<layer id="1004" name="Convert_176079" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -17001,8 +15433,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1197" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 1" offset="325533892" size="102400" />
+		<layer id="1005" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="360891592" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>10240</dim>
@@ -17011,7 +15443,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1198" name="Convert_449054" type="Convert" version="opset1">
+		<layer id="1006" name="Convert_176081" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -17028,7 +15460,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1199" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1007" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17050,8 +15482,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1200" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 20, 1" offset="325636292" size="409600" />
+		<layer id="1008" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="360993992" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -17060,7 +15492,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1201" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1009" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17082,15 +15514,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1202" name="Constant_449059" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="162082980" size="16" />
+		<layer id="1010" name="Constant_176086" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1203" name="Reshape_449060" type="Reshape" version="opset1">
+		<layer id="1011" name="Reshape_176087" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17109,8 +15541,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1204" name="self.model.gpt_neox.layers.4.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1012" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -17124,7 +15559,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1205" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1013" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17145,17 +15580,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1206" name="Constant_325239" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="326045892" size="40960" />
+		<layer id="1014" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="361403592" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1207" name="__module.model.gpt_neox.layers.4.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1015" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1016" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17164,20 +15613,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1042">
+				<port id="2" precision="FP32" names="1038">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1208" name="__module.model.gpt_neox.layers.4.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1017" name="__module.model.gpt_neox.layers.5.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17187,15 +15634,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="1043">
+				<port id="1" precision="FP32" names="1039">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1209" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 128" offset="326086852" size="13107200" />
+		<layer id="1018" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="361424072" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -17204,7 +15651,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1210" name="Convert_449063" type="Convert" version="opset1">
+		<layer id="1019" name="Convert_176089" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -17221,8 +15668,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1211" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 1" offset="339194052" size="102400" />
+		<layer id="1020" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="374531272" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -17231,7 +15678,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1212" name="Convert_449065" type="Convert" version="opset1">
+		<layer id="1021" name="Convert_176091" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -17248,7 +15695,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1213" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1022" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17270,8 +15717,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1214" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 80, 1" offset="339296452" size="409600" />
+		<layer id="1023" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="374633672" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -17280,7 +15727,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1215" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1024" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17302,15 +15749,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1216" name="Constant_449070" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="1025" name="Constant_176096" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1217" name="Reshape_449071" type="Reshape" version="opset1">
+		<layer id="1026" name="Reshape_176097" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17329,8 +15776,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1218" name="self.model.gpt_neox.layers.4.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1027" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -17344,7 +15794,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1219" name="__module.model.gpt_neox.layers.4.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1028" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17365,17 +15815,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1220" name="Constant_325240" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="339706052" size="10240" />
+		<layer id="1029" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="375043272" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1030" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1221" name="__module.model.gpt_neox.layers.4.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1031" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17384,20 +15848,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1046,input.21">
+				<port id="2" precision="FP32" names="1042,input.23">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1222" name="__module.model.gpt_neox.layers.4/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1032" name="__module.model.gpt_neox.layers.5/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17412,14 +15874,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1048,1050,hidden_states.11">
+				<port id="2" precision="FP32" names="1044,1046,hidden_states.27">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1223" name="__module.model.gpt_neox.layers.5.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1033" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -17427,7 +15889,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1224" name="__module.model.gpt_neox.layers.5.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1034" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17447,8 +15909,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1225" name="Constant_325241" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="339716292" size="10240" />
+		<layer id="1035" name="Constant_36951" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="375048392" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -17457,7 +15919,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1226" name="__module.model.gpt_neox.layers.5.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1036" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17479,8 +15941,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1227" name="Constant_325242" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="339726532" size="10240" />
+		<layer id="1037" name="Constant_36952" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="375058632" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -17489,7 +15951,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1228" name="__module.model.gpt_neox.layers.5.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1038" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17504,15 +15966,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1060">
+				<port id="2" precision="FP32" names="1056,hidden_states.25">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1229" name="self.model.gpt_neox.layers.5.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="339736772" size="9830400" />
+		<layer id="1039" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 128" offset="375068872" size="9830400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -17521,7 +15983,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1230" name="Convert_449074" type="Convert" version="opset1">
+		<layer id="1040" name="Convert_176685" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -17538,8 +16000,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1231" name="self.model.gpt_neox.layers.5.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="349567172" size="76800" />
+		<layer id="1041" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 1" offset="384899272" size="76800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -17548,7 +16010,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1232" name="Convert_449076" type="Convert" version="opset1">
+		<layer id="1042" name="Convert_176687" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -17565,7 +16027,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1233" name="self.model.gpt_neox.layers.5.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1043" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17587,8 +16049,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1234" name="self.model.gpt_neox.layers.5.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="349643972" size="307200" />
+		<layer id="1044" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="384976072" size="307200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -17597,7 +16059,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1235" name="self.model.gpt_neox.layers.5.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1045" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17619,7 +16081,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1236" name="Constant_449081" type="Const" version="opset1">
+		<layer id="1046" name="Constant_176692" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="139492128" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -17627,7 +16089,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1237" name="Reshape_449082" type="Reshape" version="opset1">
+		<layer id="1047" name="Reshape_176693" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17646,7 +16108,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1238" name="self.model.gpt_neox.layers.5.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1048" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -17661,7 +16123,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1239" name="__module.model.gpt_neox.layers.5.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1049" name="__module.model.gpt_neox.layers.6.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17682,8 +16144,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1240" name="Constant_325243" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="349951172" size="30720" />
+		<layer id="1050" name="Constant_36953" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="385283272" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -17692,7 +16154,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1241" name="__module.model.gpt_neox.layers.5.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1051" name="__module.model.gpt_neox.layers.6.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17707,14 +16169,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1067,qkv.21">
+				<port id="2" precision="FP32" names="1063,qkv.25">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1242" name="__module.model.gpt_neox.layers.5.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="1052" name="__module.model.gpt_neox.layers.6.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="139522864" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -17722,7 +16184,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1243" name="__module.model.gpt_neox.layers.5.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="1053" name="__module.model.gpt_neox.layers.6.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -17735,7 +16197,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1071,qkv.23">
+				<port id="2" precision="FP32" names="1067,qkv.27">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -17743,32 +16205,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1244" name="Constant_296138" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1054" name="Constant_4495" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1245" name="Constant_296141" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1055" name="Constant_4497" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1246" name="Constant_296144" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1056" name="Constant_4499" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1247" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1057" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17777,17 +16238,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1072">
+				<port id="5" precision="FP32" names="1068">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -17795,15 +16259,15 @@
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 			</output>
 		</layer>
-		<layer id="1248" name="Constant_3127" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1058" name="Constant_4508" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="1073">
+				<port id="0" precision="I64" names="1069">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1249" name="__module.model.gpt_neox.layers.5.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1059" name="__module.model.gpt_neox.layers.6.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17816,7 +16280,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1074,query.31">
+				<port id="2" precision="FP32" names="1070,query.13">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -17824,32 +16288,31 @@
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 			</output>
 		</layer>
-		<layer id="1250" name="Constant_296150" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1060" name="Constant_4549" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1251" name="Constant_296153" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1061" name="Constant_4551" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1252" name="Constant_296156" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1062" name="Constant_4553" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1253" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1063" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -17858,17 +16321,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1081,q.11">
+				<port id="5" precision="FP32" names="1077,q.13">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -17876,157 +16342,62 @@
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 			</output>
 		</layer>
-		<layer id="1254" name="self.model.gpt_neox.layers.5.attention.rotary_emb.cos_cached" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.5.attention.rotary_emb.cos_cached">
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-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="1255" name="__module.model.gpt_neox.layers.5.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
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-		<layer id="1256" name="Constant_296162" type="Const" version="opset1">
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-		<layer id="1257" name="Constant_296165" type="Const" version="opset1">
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-		<layer id="1258" name="Constant_296168" type="Const" version="opset1">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1064" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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-				<port id="3" precision="I64">
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 					<dim>-1</dim>
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 					<dim>80</dim>
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-			<input>
-				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>80</dim>
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 			<output>
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-		<layer id="1261" name="Constant_340985" type="Const" version="opset1">
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@@ -18037,170 +16408,85 @@
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 					<dim>32</dim>
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+		<layer id="1073" name="Constant_4650" type="Const" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>32</dim>
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 					<dim>80</dim>
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@@ -18212,60 +16498,45 @@
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 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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+					<dim>32</dim>
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@@ -18282,7 +16553,7 @@
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 					<dim>32</dim>
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@@ -18290,24 +16561,8 @@
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-			<data output_type="i64" />
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@@ -18315,199 +16570,49 @@
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-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1116">
+				<port id="1" precision="FP32" names="past_key_values.6.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1302" name="Constant_296225" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1303" name="Constant_296230" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1079" name="Constant_47365" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1304" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1080" name="Gather_47366" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18515,43 +16620,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="1110">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1305" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>40</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1118">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -18559,37 +16634,37 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1306" name="self.model.gpt_neox.layers.5.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="1081" name="Constant_4513" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.5.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1307" name="__module.model.gpt_neox.layers.5.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1082" name="Constant_4515" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1308" name="__module.model.gpt_neox.layers.5.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1083" name="Constant_4517" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1309" name="__module.model.gpt_neox.layers.5.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1084" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -18600,118 +16675,28 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="1095,1098,sin.21">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1310" name="Constant_38260" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="1311" name="__module.model.gpt_neox.layers.5.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="1103">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1312" name="__module.model.gpt_neox.layers.5.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="1104,sin.23">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1313" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1119">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1314" name="__module.model.gpt_neox.layers.5.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="5" precision="FP32" names="1071">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="1120,1138,1148,query.33,query.35">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1315" name="Constant_3141" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1085" name="Constant_4526" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="1076">
+				<port id="0" precision="I64" names="1072">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1316" name="__module.model.gpt_neox.layers.5.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1086" name="__module.model.gpt_neox.layers.6.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18724,7 +16709,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1077,key.31">
+				<port id="2" precision="FP32" names="1073,key.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -18732,32 +16717,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1317" name="Constant_296276" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1087" name="Constant_4569" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1318" name="Constant_296279" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1088" name="Constant_4571" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1319" name="Constant_296282" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1089" name="Constant_4573" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1320" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1090" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18766,17 +16750,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1083,k.11">
+				<port id="5" precision="FP32" names="1079,k.13">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -18784,7 +16771,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1321" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="1091" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -18801,7 +16788,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1121">
+				<port id="2" precision="FP32" names="1099">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -18809,144 +16796,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1322" name="Constant_296286" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1323" name="Constant_296285" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="1092" name="Constant_4850" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1324" name="__module.model.gpt_neox.layers.5.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1325" name="__module.model.gpt_neox.layers.5.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="1326" name="__module.model.gpt_neox.layers.5.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="1122,1127" />
-			</output>
-		</layer>
-		<layer id="1327" name="__module.model.gpt_neox.layers.5.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="1328" name="__module.model.gpt_neox.layers.5.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="1124,1125,1129,1130" />
-			</output>
-		</layer>
-		<layer id="1329" name="Constant_337638" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1093" name="Constant_4852" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1330" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
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-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1331" name="Constant_296284" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1094" name="Constant_4854" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1332" name="ScatterUpdate_296287" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1333" name="Constant_296290" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-			</output>
-		</layer>
-		<layer id="1334" name="Constant_296293" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="1335" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1095" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -18955,17 +16829,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1131,x2.23">
+				<port id="5" precision="FP32" names="1109,x2.27">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -18973,8 +16850,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1336" name="Constant_325245" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="1096" name="Constant_36955" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -18984,7 +16861,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1337" name="__module.model.gpt_neox.layers.5.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1097" name="__module.model.gpt_neox.layers.6.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19001,7 +16878,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1132">
+				<port id="2" precision="FP32" names="1110">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -19009,24 +16886,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1338" name="Constant_296338" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1098" name="Constant_4747" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1339" name="Constant_296343" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1099" name="Constant_4791" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1100" name="Constant_4793" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1340" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1101" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19035,17 +16919,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1126">
+				<port id="5" precision="FP32" names="1104">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -19053,7 +16940,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1341" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1102" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19070,7 +16957,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1134">
+				<port id="2" precision="FP32" names="1112">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -19078,7 +16965,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1342" name="__module.model.gpt_neox.layers.5.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1103" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19095,7 +16982,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1135">
+				<port id="2" precision="FP32" names="1113">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -19103,7 +16990,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1343" name="__module.model.gpt_neox.layers.5.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1104" name="__module.model.gpt_neox.layers.6.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19120,7 +17007,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1136,1140">
+				<port id="2" precision="FP32" names="1114,1118">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -19128,7 +17015,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1344" name="__module.model.gpt_neox.layers.5.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="1105" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19145,7 +17032,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.5.key">
+				<port id="2" precision="FP32" names="present.6.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -19153,77 +17040,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1345" name="Constant_432781" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1346" name="Constant_432774" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1347" name="Constant_432776" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1348" name="Constant_432778" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
-			<output>
-				<port id="0" precision="I64">
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-			</output>
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-		<layer id="1349" name="Concat_432779" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1350" name="Broadcast_432782" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1351" name="ReadValue_417392" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.5.valuepresent.5.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1106" name="ReadValue_49848" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.6.valuepresent.6.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19233,7 +17051,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.5.value">
+				<port id="1" precision="FP32" names="past_key_values.6.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -19241,13 +17059,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1352" name="Constant_401923" type="Const" version="opset1">
+		<layer id="1107" name="Constant_47368" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1353" name="Gather_401924" type="Gather" version="opset8">
+		<layer id="1108" name="Gather_47369" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19270,32 +17088,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1354" name="Constant_296388" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="1109" name="Constant_4531" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1355" name="Constant_296391" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="1110" name="Constant_4533" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1356" name="Constant_296394" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1111" name="Constant_4535" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1357" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1112" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19304,17 +17121,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1078">
+				<port id="5" precision="FP32" names="1074">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -19322,15 +17142,15 @@
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 			</output>
 		</layer>
-		<layer id="1358" name="Constant_3155" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1113" name="Constant_4544" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="1079">
+				<port id="0" precision="I64" names="1075">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1359" name="__module.model.gpt_neox.layers.5.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1114" name="__module.model.gpt_neox.layers.6.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19343,7 +17163,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1080">
+				<port id="2" precision="FP32" names="1076">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -19351,7 +17171,7 @@
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 			</output>
 		</layer>
-		<layer id="1360" name="__module.model.gpt_neox.layers.5.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="1115" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19368,7 +17188,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.5.value">
+				<port id="2" precision="FP32" names="present.6.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -19376,34 +17196,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1361" name="__module.model.gpt_neox.layers.5.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="140833836" size="4194304" />
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-				<port id="0" precision="BOOL" names="1157">
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-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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-		<layer id="1362" name="Constant_296398" type="Const" version="opset1">
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-				<port id="0" precision="I64">
-					<dim>3</dim>
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-		<layer id="1363" name="Constant_296397" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="1116" name="Constant_4926" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1364" name="ShapeOf_338374" type="ShapeOf" version="opset3">
+		<layer id="1117" name="ShapeOf_38637" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19419,263 +17220,22 @@
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 			</output>
 		</layer>
-		<layer id="1365" name="Constant_338375" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+		<layer id="1118" name="Constant_38638" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="1366" name="Constant_338376" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		<layer id="1367" name="Gather_338377" type="Gather" version="opset8">
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 				<port id="0" precision="I64">
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-				<port id="3" precision="I64" />
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-		<layer id="1368" name="Add_338378" type="Add" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
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-		<layer id="1369" name="ShapeOf_338445" type="ShapeOf" version="opset3">
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-				<port id="0" precision="FP32">
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-					<dim>32</dim>
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-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1370" name="Constant_338446" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="1371" name="Constant_338447" type="Const" version="opset1">
+		<layer id="1119" name="Constant_38639" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1372" name="Gather_338448" type="Gather" version="opset8">
+		<layer id="1120" name="Gather_38640" type="Gather" version="opset8">
 			<data batch_dims="0" />
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-				<port id="0" precision="I64">
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-		<layer id="1384" name="Constant_296477" type="Const" version="opset1">
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 			<input>
 				<port id="0" precision="I64">
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@@ -19683,121 +17243,22 @@
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-				<port id="3" precision="I32">
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+				<port id="2" precision="I64" />
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 			<output>
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 					<dim>1</dim>
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-		<layer id="1392" name="__module.model.gpt_neox.layers.5.attention/aten::full/Convert" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="1147" />
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-		<layer id="1393" name="__module.model.gpt_neox.layers.5.attention/aten::where/Select" type="Select" version="opset1">
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-		<layer id="1395" name="ShapeOf_315349" type="ShapeOf" version="opset3">
+		<layer id="1121" name="ShapeOf_38641" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
@@ -19806,21 +17267,21 @@
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 			</output>
 		</layer>
-		<layer id="1396" name="Constant_338451" type="Const" version="opset1">
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+		<layer id="1122" name="Constant_38642" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1397" name="Constant_338452" type="Const" version="opset1">
+		<layer id="1123" name="Constant_38643" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1398" name="Gather_338453" type="Gather" version="opset8">
+		<layer id="1124" name="Gather_38644" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -19832,40 +17293,42 @@
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 			</input>
 			<output>
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+				<port id="3" precision="I64">
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 		</layer>
-		<layer id="1399" name="Constant_268011" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
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+		<layer id="1125" name="Add_38645" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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-		<layer id="1400" name="Constant_268013" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+			</input>
 			<output>
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+				<port id="2" precision="I64" names="1123">
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 		</layer>
-		<layer id="1401" name="Constant_268015" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1126" name="Constant_4929" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data axis="0" />
+		<layer id="1127" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
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 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
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@@ -19876,44 +17339,12 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<input>
-				<port id="0" precision="FP32">
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1127">
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 					<dim>1</dim>
 					<dim>-1</dim>
@@ -19921,7 +17352,7 @@
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 			</output>
 		</layer>
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+		<layer id="1128" name="__module.model.gpt_neox.layers.6.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -19950,7 +17381,7 @@
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 			</input>
 			<output>
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+				<port id="4" precision="FP32" names="1128,attn_output.49">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -19958,15 +17389,15 @@
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 			</output>
 		</layer>
-		<layer id="1406" name="Constant_3596" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1129" name="__module.model.gpt_neox.layers.6.attention/aten::transpose/Constant" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I32">
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 		</layer>
-		<layer id="1407" name="__module.model.gpt_neox.layers.5.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1130" name="__module.model.gpt_neox.layers.6.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -19974,12 +17405,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1129">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -19987,15 +17418,15 @@
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 			</output>
 		</layer>
-		<layer id="1408" name="__module.model.gpt_neox.layers.5.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="1131" name="Constant_40541" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1409" name="__module.model.gpt_neox.layers.5.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1132" name="__module.model.gpt_neox.layers.6.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20009,15 +17440,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1173">
+				<port id="2" precision="FP32" names="1132">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1410" name="self.model.gpt_neox.layers.5.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 128" offset="349981892" size="3276800" />
+		<layer id="1133" name="self.model.gpt_neox.layers.6.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="385313992" size="3276800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -20026,7 +17457,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1411" name="Convert_449085" type="Convert" version="opset1">
+		<layer id="1134" name="Convert_177037" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -20043,8 +17474,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1412" name="self.model.gpt_neox.layers.5.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 1" offset="353258692" size="25600" />
+		<layer id="1135" name="self.model.gpt_neox.layers.6.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="388590792" size="25600" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -20053,7 +17484,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1413" name="Convert_449087" type="Convert" version="opset1">
+		<layer id="1136" name="Convert_177039" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -20070,7 +17501,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1414" name="self.model.gpt_neox.layers.5.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1137" name="self.model.gpt_neox.layers.6.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20092,8 +17523,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1415" name="self.model.gpt_neox.layers.5.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="353284292" size="102400" />
+		<layer id="1138" name="self.model.gpt_neox.layers.6.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="388616392" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -20102,7 +17533,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1416" name="self.model.gpt_neox.layers.5.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1139" name="self.model.gpt_neox.layers.6.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20124,15 +17555,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1417" name="Constant_449092" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="1140" name="Constant_177044" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1418" name="Reshape_449093" type="Reshape" version="opset1">
+		<layer id="1141" name="Reshape_177045" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20151,7 +17582,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1419" name="self.model.gpt_neox.layers.5.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1142" name="self.model.gpt_neox.layers.6.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20166,7 +17597,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1420" name="__module.model.gpt_neox.layers.5.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1143" name="__module.model.gpt_neox.layers.6.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20187,8 +17618,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1421" name="Constant_325246" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="353386692" size="10240" />
+		<layer id="1144" name="Constant_36956" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="388718792" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20197,7 +17628,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1422" name="__module.model.gpt_neox.layers.5.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1145" name="__module.model.gpt_neox.layers.6.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20212,14 +17643,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1176,1178,input.23">
+				<port id="2" precision="FP32" names="1135,1137,input.25">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1423" name="__module.model.gpt_neox.layers.5/aten::add/Add" type="Add" version="opset1">
+		<layer id="1146" name="__module.model.gpt_neox.layers.6/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20234,14 +17665,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1182,attn_output.23">
+				<port id="2" precision="FP32" names="1141,attn_output.55">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1424" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1147" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -20249,7 +17680,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1425" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1148" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20269,8 +17700,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1426" name="Constant_325247" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="353396932" size="10240" />
+		<layer id="1149" name="Constant_36957" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="388729032" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20279,7 +17710,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1427" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1150" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20301,8 +17732,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1428" name="Constant_325248" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="353407172" size="10240" />
+		<layer id="1151" name="Constant_36958" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="388739272" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20311,7 +17742,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1429" name="__module.model.gpt_neox.layers.5.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1152" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20326,101 +17757,141 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1186">
+				<port id="2" precision="FP32" names="1145">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1430" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="353417412" size="26214400" />
+		<layer id="1153" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="388749512" size="13107200" />
 			<output>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1431" name="Convert_449097" type="Convert" version="opset1">
+		<layer id="1154" name="Convert_176099" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1432" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="379631812" size="10240" />
+		<layer id="1155" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="401856712" size="102400" />
 			<output>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1433" name="Convert_449100" type="Convert" version="opset1">
+		<layer id="1156" name="Convert_176101" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1434" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1157" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1435" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="379642052" size="20480" />
+		<layer id="1158" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="401959112" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1436" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1159" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1160" name="Constant_176106" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1161" name="Reshape_176107" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>10240</dim>
@@ -20428,8 +17899,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1437" name="self.model.gpt_neox.layers.5.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1162" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -20443,7 +17917,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1438" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1163" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20464,17 +17938,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1439" name="Constant_325249" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="379662532" size="40960" />
+		<layer id="1164" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="402368712" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1440" name="__module.model.gpt_neox.layers.5.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1165" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1166" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20483,20 +17971,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1191">
+				<port id="2" precision="FP32" names="1150">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1441" name="__module.model.gpt_neox.layers.5.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1167" name="__module.model.gpt_neox.layers.6.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20506,15 +17992,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="1192">
+				<port id="1" precision="FP32" names="1151">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1442" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 128" offset="379703492" size="13107200" />
+		<layer id="1168" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="402389192" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -20523,7 +18009,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1443" name="Convert_449107" type="Convert" version="opset1">
+		<layer id="1169" name="Convert_176109" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -20540,8 +18026,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1444" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 1" offset="392810692" size="102400" />
+		<layer id="1170" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="415496392" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -20550,7 +18036,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1445" name="Convert_449109" type="Convert" version="opset1">
+		<layer id="1171" name="Convert_176111" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -20567,7 +18053,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1446" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1172" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20589,8 +18075,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1447" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 80, 1" offset="392913092" size="409600" />
+		<layer id="1173" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="415598792" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -20599,7 +18085,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1448" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1174" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20621,15 +18107,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1449" name="Constant_449114" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="1175" name="Constant_176116" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1450" name="Reshape_449115" type="Reshape" version="opset1">
+		<layer id="1176" name="Reshape_176117" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20648,8 +18134,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1451" name="self.model.gpt_neox.layers.5.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1177" name="__module.model.gpt_neox.layers.6.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -20663,7 +18152,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1452" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1178" name="__module.model.gpt_neox.layers.6.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20684,17 +18173,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1453" name="Constant_325250" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="393322692" size="10240" />
+		<layer id="1179" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="416008392" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1180" name="__module.model.gpt_neox.layers.6.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1454" name="__module.model.gpt_neox.layers.5.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1181" name="__module.model.gpt_neox.layers.6.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20703,20 +18206,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1195,input.25">
+				<port id="2" precision="FP32" names="1154,input.27">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1455" name="__module.model.gpt_neox.layers.5/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1182" name="__module.model.gpt_neox.layers.6/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20731,14 +18232,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1197,1199,hidden_states.13">
+				<port id="2" precision="FP32" names="1156,1158,hidden_states.31">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1456" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1183" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -20746,7 +18247,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1457" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1184" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20766,8 +18267,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1458" name="Constant_325251" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="393332932" size="10240" />
+		<layer id="1185" name="Constant_36959" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="416013512" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20776,7 +18277,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1459" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1186" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20798,8 +18299,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1460" name="Constant_325252" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="393343172" size="10240" />
+		<layer id="1187" name="Constant_36960" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="416023752" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -20808,7 +18309,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1461" name="__module.model.gpt_neox.layers.6.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1188" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -20823,15 +18324,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1209">
+				<port id="2" precision="FP32" names="1168,hidden_states.29">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1462" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="393353412" size="9830400" />
+		<layer id="1189" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 128" offset="416033992" size="9830400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -20840,7 +18341,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1463" name="Convert_449118" type="Convert" version="opset1">
+		<layer id="1190" name="Convert_176696" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -20857,8 +18358,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1464" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="403183812" size="76800" />
+		<layer id="1191" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 1" offset="425864392" size="76800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -20867,7 +18368,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1465" name="Convert_449120" type="Convert" version="opset1">
+		<layer id="1192" name="Convert_176698" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -20884,7 +18385,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1466" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1193" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20906,8 +18407,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1467" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="403260612" size="307200" />
+		<layer id="1194" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="425941192" size="307200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -20916,7 +18417,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1468" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1195" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20938,7 +18439,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1469" name="Constant_449125" type="Const" version="opset1">
+		<layer id="1196" name="Constant_176703" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="139492128" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -20946,7 +18447,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1470" name="Reshape_449126" type="Reshape" version="opset1">
+		<layer id="1197" name="Reshape_176704" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20965,7 +18466,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1471" name="self.model.gpt_neox.layers.6.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1198" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -20980,7 +18481,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1472" name="__module.model.gpt_neox.layers.6.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1199" name="__module.model.gpt_neox.layers.7.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21001,8 +18502,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1473" name="Constant_325253" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="403567812" size="30720" />
+		<layer id="1200" name="Constant_36961" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="426248392" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -21011,7 +18512,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1474" name="__module.model.gpt_neox.layers.6.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1201" name="__module.model.gpt_neox.layers.7.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21026,14 +18527,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1216,qkv.25">
+				<port id="2" precision="FP32" names="1175,qkv.29">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1475" name="__module.model.gpt_neox.layers.6.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="1202" name="__module.model.gpt_neox.layers.7.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="139522864" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -21041,7 +18542,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1476" name="__module.model.gpt_neox.layers.6.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="1203" name="__module.model.gpt_neox.layers.7.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21054,7 +18555,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1220,qkv.27">
+				<port id="2" precision="FP32" names="1179,qkv.31">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -21062,32 +18563,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1477" name="Constant_296489" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1204" name="Constant_5125" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1478" name="Constant_296492" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1205" name="Constant_5127" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1479" name="Constant_296495" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1206" name="Constant_5129" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1480" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1207" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21096,17 +18596,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1180">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -21114,15 +18617,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1481" name="Constant_3708" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1208" name="Constant_5138" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="1181">
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 			</output>
 		</layer>
-		<layer id="1482" name="__module.model.gpt_neox.layers.6.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1209" name="__module.model.gpt_neox.layers.7.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21135,7 +18638,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1223,query.37">
+				<port id="2" precision="FP32" names="1182,query.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -21143,32 +18646,31 @@
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 			</output>
 		</layer>
-		<layer id="1483" name="Constant_296501" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1210" name="Constant_5179" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="1484" name="Constant_296504" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1211" name="Constant_5181" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
-		<layer id="1485" name="Constant_296507" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1212" name="Constant_5183" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1486" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1213" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21177,17 +18679,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1230,q.13">
+				<port id="5" precision="FP32" names="1189,q.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -21195,157 +18700,62 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1487" name="self.model.gpt_neox.layers.6.attention.rotary_emb.cos_cached" type="Const" version="opset1">
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-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="1488" name="__module.model.gpt_neox.layers.6.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="1489" name="Constant_296513" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="1490" name="Constant_296516" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
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-				<port id="0" precision="I64">
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-		<layer id="1491" name="Constant_296519" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="1492" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1214" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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 					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
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-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
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 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-				<port id="0" precision="I64" />
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-		<layer id="1496" name="Gather_338458" type="Gather" version="opset8">
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-			</input>
-			<output>
-				<port id="3" precision="I64" names="1234">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1195">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32" />
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-		<layer id="1498" name="Constant_432787" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="1215" name="Constant_5337" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1499" name="Constant_432789" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1216" name="Constant_5339" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1500" name="Constant_432791" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="1217" name="Constant_5341" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1501" name="Concat_432792" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1218" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -21356,170 +18766,85 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
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-			</output>
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-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
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-					<dim>80</dim>
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-		<layer id="1503" name="ReadValue_417394" type="ReadValue" version="opset6">
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-					<dim>32</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.6.key">
+				<port id="5" precision="FP32" names="1205,x2.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="1504" name="Constant_401926" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1219" name="Constant_36962" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1505" name="Gather_401927" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1220" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32" names="1206">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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-				<port id="0" precision="I64">
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 		</layer>
-		<layer id="1510" name="Constant_337644" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1221" name="Constant_5234" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			</input>
+		<layer id="1222" name="Constant_5278" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
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+		<layer id="1223" name="Constant_5280" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1224" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -21531,60 +18856,45 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-			<output>
-				<port id="3" precision="FP32" names="1249">
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1517" name="__module.model.gpt_neox.layers.6.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1250,cos.27">
+				<port id="2" precision="FP32" names="1208">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1518" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="1226" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -21601,7 +18911,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1254">
+				<port id="2" precision="FP32" names="1209">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -21609,24 +18919,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1519" name="Constant_296524" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-			</output>
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-		<layer id="1520" name="Constant_296523" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1521" name="__module.model.gpt_neox.layers.6.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1227" name="__module.model.gpt_neox.layers.7.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21634,199 +18928,49 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="1522" name="__module.model.gpt_neox.layers.6.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="1523" name="__module.model.gpt_neox.layers.6.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="1255,1260" />
-			</output>
-		</layer>
-		<layer id="1524" name="__module.model.gpt_neox.layers.6.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="1525" name="__module.model.gpt_neox.layers.6.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="1257,1258,1262,1263" />
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-		</layer>
-		<layer id="1526" name="Constant_337646" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="1527" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
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-				<port id="1" precision="I64">
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-			</output>
-		</layer>
-		<layer id="1528" name="Constant_296522" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32">
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-				</port>
-			</output>
-		</layer>
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-				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I32">
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-		<layer id="1530" name="Constant_296528" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="1532" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
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 					<dim>32</dim>
 					<dim>-1</dim>
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 				</port>
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-					<dim>4</dim>
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-				<port id="3" precision="I64">
-					<dim>4</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1210,1228">
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 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
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-		<layer id="1533" name="Constant_325254" type="Const" version="opset1">
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-					<dim>1</dim>
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+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1534" name="__module.model.gpt_neox.layers.6.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1228" name="ReadValue_49850" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.7.keypresent.7.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1265">
+				<port id="1" precision="FP32" names="past_key_values.7.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
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-			</output>
-		</layer>
-		<layer id="1535" name="Constant_296576" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1536" name="Constant_296581" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1229" name="Constant_47371" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1537" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1230" name="Gather_47372" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -21834,43 +18978,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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-			</input>
-			<output>
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-					<dim>-1</dim>
-					<dim>40</dim>
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-		</layer>
-		<layer id="1538" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat" type="Concat" version="opset1">
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-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>40</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1267">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -21878,37 +18992,37 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1539" name="self.model.gpt_neox.layers.6.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="1231" name="Constant_5143" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.6.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1540" name="__module.model.gpt_neox.layers.6.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1232" name="Constant_5145" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1541" name="__module.model.gpt_neox.layers.6.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1233" name="Constant_5147" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1542" name="__module.model.gpt_neox.layers.6.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1234" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -21919,118 +19033,28 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="1244,1247,sin.25">
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="1543" name="Constant_38266" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
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-		</layer>
-		<layer id="1544" name="__module.model.gpt_neox.layers.6.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
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-			<output>
-				<port id="3" precision="FP32" names="1252">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1545" name="__module.model.gpt_neox.layers.6.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="FP32" names="1253,sin.27">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-		</layer>
-		<layer id="1546" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="1547" name="__module.model.gpt_neox.layers.6.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="5" precision="FP32" names="1183">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1548" name="Constant_3722" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1235" name="Constant_5156" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="1225">
+				<port id="0" precision="I64" names="1184">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1549" name="__module.model.gpt_neox.layers.6.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1236" name="__module.model.gpt_neox.layers.7.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22043,7 +19067,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1226,key.37">
+				<port id="2" precision="FP32" names="1185,key.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22051,32 +19075,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1550" name="Constant_296627" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1237" name="Constant_5199" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="1551" name="Constant_296630" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1238" name="Constant_5201" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
-		<layer id="1552" name="Constant_296633" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1239" name="Constant_5203" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1553" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1240" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22085,17 +19108,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1232,k.13">
+				<port id="5" precision="FP32" names="1191,k.15">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22103,7 +19129,7 @@
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 			</output>
 		</layer>
-		<layer id="1554" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="1241" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22120,7 +19146,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1270">
+				<port id="2" precision="FP32" names="1211">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22128,144 +19154,31 @@
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 			</output>
 		</layer>
-		<layer id="1555" name="Constant_296637" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-		<layer id="1556" name="Constant_296636" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="1242" name="Constant_5480" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1557" name="__module.model.gpt_neox.layers.6.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1558" name="__module.model.gpt_neox.layers.6.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="1559" name="__module.model.gpt_neox.layers.6.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="1271,1276" />
-			</output>
-		</layer>
-		<layer id="1560" name="__module.model.gpt_neox.layers.6.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="1561" name="__module.model.gpt_neox.layers.6.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="1273,1274,1278,1279" />
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-		</layer>
-		<layer id="1562" name="Constant_337648" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1243" name="Constant_5482" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1563" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-			<output>
-				<port id="2" precision="I64">
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-				</port>
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-		</layer>
-		<layer id="1564" name="Constant_296635" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1244" name="Constant_5484" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1565" name="ScatterUpdate_296638" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
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-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1566" name="Constant_296641" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="1567" name="Constant_296644" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1568" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1245" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22274,17 +19187,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1280,x2.27">
+				<port id="5" precision="FP32" names="1221,x2.31">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22292,8 +19208,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1569" name="Constant_325255" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="1246" name="Constant_36963" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -22303,7 +19219,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1570" name="__module.model.gpt_neox.layers.6.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1247" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22320,7 +19236,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1281">
+				<port id="2" precision="FP32" names="1222">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22328,24 +19244,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1571" name="Constant_296689" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1248" name="Constant_5377" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1572" name="Constant_296694" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1249" name="Constant_5421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1250" name="Constant_5423" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1573" name="__module.model.gpt_neox.layers.6.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1251" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22354,17 +19277,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1275">
+				<port id="5" precision="FP32" names="1216">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22372,7 +19298,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1574" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="1252" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22389,7 +19315,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1283">
+				<port id="2" precision="FP32" names="1224">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22397,7 +19323,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1575" name="__module.model.gpt_neox.layers.6.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="1253" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22414,7 +19340,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1284">
+				<port id="2" precision="FP32" names="1225">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22422,7 +19348,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1576" name="__module.model.gpt_neox.layers.6.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1254" name="__module.model.gpt_neox.layers.7.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22439,7 +19365,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1285,1289">
+				<port id="2" precision="FP32" names="1226,1230">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22447,7 +19373,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1577" name="__module.model.gpt_neox.layers.6.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="1255" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22464,7 +19390,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.6.key">
+				<port id="2" precision="FP32" names="present.7.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22472,77 +19398,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1578" name="Constant_432807" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="1579" name="Constant_432800" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1580" name="Constant_432802" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1581" name="Constant_432804" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1582" name="Concat_432805" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1583" name="Broadcast_432808" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1584" name="ReadValue_417396" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.6.valuepresent.6.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1256" name="ReadValue_49852" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.7.valuepresent.7.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -22552,7 +19409,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.6.value">
+				<port id="1" precision="FP32" names="past_key_values.7.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22560,13 +19417,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1585" name="Constant_401929" type="Const" version="opset1">
+		<layer id="1257" name="Constant_47374" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1586" name="Gather_401930" type="Gather" version="opset8">
+		<layer id="1258" name="Gather_47375" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22589,32 +19446,31 @@
 				</port>
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 		</layer>
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+		<layer id="1261" name="Constant_5165" type="Const" version="opset1">
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@@ -22623,17 +19479,20 @@
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@@ -22641,15 +19500,15 @@
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+		<layer id="1263" name="Constant_5174" type="Const" version="opset1">
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+				<port id="0" precision="I64" names="1187">
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-		<layer id="1592" name="__module.model.gpt_neox.layers.6.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1264" name="__module.model.gpt_neox.layers.7.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -22662,7 +19521,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1188">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22670,7 +19529,7 @@
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-		<layer id="1593" name="__module.model.gpt_neox.layers.6.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="1265" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
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@@ -22687,7 +19546,7 @@
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+				<port id="2" precision="FP32" names="present.7.value">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -22695,34 +19554,15 @@
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-		<layer id="1596" name="Constant_296748" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="1266" name="Constant_5556" type="Const" version="opset1">
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-		<layer id="1597" name="ShapeOf_338465" type="ShapeOf" version="opset3">
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 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -22738,263 +19578,22 @@
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-		<layer id="1598" name="Constant_338466" type="Const" version="opset1">
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+		<layer id="1268" name="Constant_38711" type="Const" version="opset1">
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-		<layer id="1604" name="Constant_338538" type="Const" version="opset1">
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 				<port id="0" precision="I64" />
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-		<layer id="1605" name="Gather_338539" type="Gather" version="opset8">
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 				<port id="0" precision="I64">
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@@ -23002,121 +19601,22 @@
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+				<port id="2" precision="I64" />
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-		<layer id="1628" name="ShapeOf_315421" type="ShapeOf" version="opset3">
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 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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@@ -23125,21 +19625,21 @@
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-		<layer id="1629" name="Constant_338542" type="Const" version="opset1">
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+		<layer id="1272" name="Constant_38715" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1630" name="Constant_338543" type="Const" version="opset1">
+		<layer id="1273" name="Constant_38716" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1631" name="Gather_338544" type="Gather" version="opset8">
+		<layer id="1274" name="Gather_38717" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -23151,40 +19651,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="1294">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1632" name="Constant_268021" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
+		<layer id="1275" name="Add_38718" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1633" name="Constant_268023" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="1235">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1634" name="Constant_268025" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1276" name="Constant_5559" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1635" name="__module.model.gpt_neox.layers.6.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1277" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -23195,44 +19697,12 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="1311">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1636" name="Maximum_315422" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1637" name="__module.model.gpt_neox.layers.6.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1313">
+				<port id="5" precision="FP32" names="1239">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -23240,7 +19710,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1638" name="__module.model.gpt_neox.layers.6.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1278" name="__module.model.gpt_neox.layers.7.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23269,7 +19739,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1314,1315,sdpa_result.13,tensor.25">
+				<port id="4" precision="FP32" names="1240,attn_output.57">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -23277,15 +19747,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1639" name="Constant_4177" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1279" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64" names="1316">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1640" name="__module.model.gpt_neox.layers.6.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1280" name="__module.model.gpt_neox.layers.7.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -23293,12 +19763,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1317">
+				<port id="2" precision="FP32" names="1241">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -23306,15 +19776,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1641" name="__module.model.gpt_neox.layers.6.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="1281" name="Constant_40542" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1642" name="__module.model.gpt_neox.layers.6.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1282" name="__module.model.gpt_neox.layers.7.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23328,15 +19798,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1322">
+				<port id="2" precision="FP32" names="1244">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1643" name="self.model.gpt_neox.layers.6.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 128" offset="403598532" size="3276800" />
+		<layer id="1283" name="self.model.gpt_neox.layers.7.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="426279112" size="3276800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -23345,7 +19815,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1644" name="Convert_449129" type="Convert" version="opset1">
+		<layer id="1284" name="Convert_177048" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -23362,8 +19832,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1645" name="self.model.gpt_neox.layers.6.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 1" offset="406875332" size="25600" />
+		<layer id="1285" name="self.model.gpt_neox.layers.7.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="429555912" size="25600" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -23372,7 +19842,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1646" name="Convert_449131" type="Convert" version="opset1">
+		<layer id="1286" name="Convert_177050" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -23389,7 +19859,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1647" name="self.model.gpt_neox.layers.6.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1287" name="self.model.gpt_neox.layers.7.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -23411,8 +19881,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1648" name="self.model.gpt_neox.layers.6.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="406900932" size="102400" />
+		<layer id="1288" name="self.model.gpt_neox.layers.7.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="429581512" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -23421,7 +19891,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1649" name="self.model.gpt_neox.layers.6.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1289" name="self.model.gpt_neox.layers.7.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -23443,15 +19913,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1650" name="Constant_449136" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="1290" name="Constant_177055" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1651" name="Reshape_449137" type="Reshape" version="opset1">
+		<layer id="1291" name="Reshape_177056" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -23470,7 +19940,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1652" name="self.model.gpt_neox.layers.6.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1292" name="self.model.gpt_neox.layers.7.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -23485,7 +19955,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1653" name="__module.model.gpt_neox.layers.6.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1293" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23506,8 +19976,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1654" name="Constant_325256" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="407003332" size="10240" />
+		<layer id="1294" name="Constant_36964" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="429683912" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -23516,7 +19986,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1655" name="__module.model.gpt_neox.layers.6.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1295" name="__module.model.gpt_neox.layers.7.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23531,14 +20001,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1325,1327,input.27">
+				<port id="2" precision="FP32" names="1247,1249,input.29">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1656" name="__module.model.gpt_neox.layers.6/aten::add/Add" type="Add" version="opset1">
+		<layer id="1296" name="__module.model.gpt_neox.layers.7/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23553,14 +20023,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1331,attn_output.27">
+				<port id="2" precision="FP32" names="1253,attn_output.63">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1657" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1297" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -23568,7 +20038,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1658" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1298" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23588,8 +20058,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1659" name="Constant_325257" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="407013572" size="10240" />
+		<layer id="1299" name="Constant_36965" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="429694152" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -23598,7 +20068,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1660" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1300" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23620,8 +20090,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1661" name="Constant_325258" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="407023812" size="10240" />
+		<layer id="1301" name="Constant_36966" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="429704392" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -23630,7 +20100,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1662" name="__module.model.gpt_neox.layers.6.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1302" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23645,101 +20115,141 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1335">
+				<port id="2" precision="FP32" names="1257">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1663" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="407034052" size="26214400" />
+		<layer id="1303" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="429714632" size="13107200" />
 			<output>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1664" name="Convert_449141" type="Convert" version="opset1">
+		<layer id="1304" name="Convert_176119" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1665" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="433248452" size="10240" />
+		<layer id="1305" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="442821832" size="102400" />
 			<output>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1666" name="Convert_449144" type="Convert" version="opset1">
+		<layer id="1306" name="Convert_176121" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1667" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1307" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1668" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="433258692" size="20480" />
+		<layer id="1308" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="442924232" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1669" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1309" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1310" name="Constant_176126" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1311" name="Reshape_176127" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>10240</dim>
@@ -23747,8 +20257,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1670" name="self.model.gpt_neox.layers.6.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1312" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -23762,7 +20275,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1671" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1313" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23783,17 +20296,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1672" name="Constant_325259" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="433279172" size="40960" />
+		<layer id="1314" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="443333832" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1673" name="__module.model.gpt_neox.layers.6.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1315" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1316" name="__module.model.gpt_neox.layers.7.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23802,20 +20329,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1340">
+				<port id="2" precision="FP32" names="1262">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1674" name="__module.model.gpt_neox.layers.6.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1317" name="__module.model.gpt_neox.layers.7.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -23825,15 +20350,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="1341">
+				<port id="1" precision="FP32" names="1263">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1675" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 128" offset="433320132" size="13107200" />
+		<layer id="1318" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="443354312" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -23842,7 +20367,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1676" name="Convert_449151" type="Convert" version="opset1">
+		<layer id="1319" name="Convert_176129" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -23859,8 +20384,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1677" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 1" offset="446427332" size="102400" />
+		<layer id="1320" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="456461512" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -23869,7 +20394,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1678" name="Convert_449153" type="Convert" version="opset1">
+		<layer id="1321" name="Convert_176131" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -23886,7 +20411,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1679" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1322" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -23908,8 +20433,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1680" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 80, 1" offset="446529732" size="409600" />
+		<layer id="1323" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="456563912" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -23918,7 +20443,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1681" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1324" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -23940,15 +20465,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1682" name="Constant_449158" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="1325" name="Constant_176136" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1683" name="Reshape_449159" type="Reshape" version="opset1">
+		<layer id="1326" name="Reshape_176137" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -23967,8 +20492,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1684" name="self.model.gpt_neox.layers.6.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1327" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -23982,7 +20510,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1685" name="__module.model.gpt_neox.layers.6.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1328" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24003,17 +20531,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1686" name="Constant_325260" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="446939332" size="10240" />
+		<layer id="1329" name="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="456973512" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.7.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1330" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1687" name="__module.model.gpt_neox.layers.6.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1331" name="__module.model.gpt_neox.layers.7.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24022,20 +20564,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1344,input.29">
+				<port id="2" precision="FP32" names="1266,input.31">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1688" name="__module.model.gpt_neox.layers.6/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1332" name="__module.model.gpt_neox.layers.7/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24050,14 +20590,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1346,1348,hidden_states.15">
+				<port id="2" precision="FP32" names="1268,1270,hidden_states.35">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1689" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1333" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -24065,7 +20605,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1690" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1334" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24085,8 +20625,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1691" name="Constant_325261" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="446949572" size="10240" />
+		<layer id="1335" name="Constant_36967" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="456978632" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -24095,7 +20635,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1692" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1336" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24117,8 +20657,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1693" name="Constant_325262" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="446959812" size="10240" />
+		<layer id="1337" name="Constant_36968" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="456988872" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -24127,7 +20667,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1694" name="__module.model.gpt_neox.layers.7.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1338" name="__module.model.gpt_neox.layers.8.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24142,15 +20682,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1358">
+				<port id="2" precision="FP32" names="1280,hidden_states.33">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1695" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="446970052" size="9830400" />
+		<layer id="1339" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 128" offset="456999112" size="9830400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -24159,7 +20699,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1696" name="Convert_449162" type="Convert" version="opset1">
+		<layer id="1340" name="Convert_176707" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -24176,8 +20716,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1697" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="456800452" size="76800" />
+		<layer id="1341" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 1" offset="466829512" size="76800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -24186,7 +20726,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1698" name="Convert_449164" type="Convert" version="opset1">
+		<layer id="1342" name="Convert_176709" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -24203,7 +20743,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1699" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1343" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24225,8 +20765,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1700" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="456877252" size="307200" />
+		<layer id="1344" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="466906312" size="307200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -24235,7 +20775,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1701" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1345" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24257,7 +20797,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1702" name="Constant_449169" type="Const" version="opset1">
+		<layer id="1346" name="Constant_176714" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="139492128" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -24265,7 +20805,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1703" name="Reshape_449170" type="Reshape" version="opset1">
+		<layer id="1347" name="Reshape_176715" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24284,7 +20824,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1704" name="self.model.gpt_neox.layers.7.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1348" name="self.model.gpt_neox.layers.8.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -24299,7 +20839,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1705" name="__module.model.gpt_neox.layers.7.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1349" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24320,8 +20860,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1706" name="Constant_325263" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="457184452" size="30720" />
+		<layer id="1350" name="Constant_36969" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="467213512" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -24330,7 +20870,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1707" name="__module.model.gpt_neox.layers.7.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1351" name="__module.model.gpt_neox.layers.8.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24345,14 +20885,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1365,qkv.29">
+				<port id="2" precision="FP32" names="1287,qkv.33">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1708" name="__module.model.gpt_neox.layers.7.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="1352" name="__module.model.gpt_neox.layers.8.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="139522864" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -24360,7 +20900,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1709" name="__module.model.gpt_neox.layers.7.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="1353" name="__module.model.gpt_neox.layers.8.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24373,7 +20913,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1369,qkv.31">
+				<port id="2" precision="FP32" names="1291,qkv.35">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -24381,32 +20921,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1710" name="Constant_296840" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1354" name="Constant_5755" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1711" name="Constant_296843" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1355" name="Constant_5757" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1712" name="Constant_296846" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1356" name="Constant_5759" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1713" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1357" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24415,17 +20954,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1370">
+				<port id="5" precision="FP32" names="1292">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -24433,15 +20975,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1714" name="Constant_4289" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1358" name="Constant_5768" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="1371">
+				<port id="0" precision="I64" names="1293">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1715" name="__module.model.gpt_neox.layers.7.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1359" name="__module.model.gpt_neox.layers.8.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24454,7 +20996,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1372,query.43">
+				<port id="2" precision="FP32" names="1294,query.17">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -24462,32 +21004,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1716" name="Constant_296852" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1360" name="Constant_5809" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1717" name="Constant_296855" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1361" name="Constant_5811" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1718" name="Constant_296858" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1362" name="Constant_5813" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1719" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1363" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -24496,17 +21037,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1379,q.15">
+				<port id="5" precision="FP32" names="1301,q.17">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -24514,157 +21058,62 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1720" name="self.model.gpt_neox.layers.7.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="139523024" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.7.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1721" name="__module.model.gpt_neox.layers.7.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1722" name="Constant_296864" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-		</layer>
-		<layer id="1723" name="Constant_296867" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-		<layer id="1724" name="Constant_296870" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
-			<output>
-				<port id="0" precision="I64">
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-		<layer id="1725" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1364" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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-			<output>
-				<port id="4" precision="FP32" names="1373">
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 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>80</dim>
 				</port>
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-		<layer id="1726" name="ShapeOf_338546" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
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 					<dim>80</dim>
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 			</input>
 			<output>
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-		<layer id="1727" name="Constant_340991" type="Const" version="opset1">
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-		<layer id="1728" name="Constant_338548" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		<layer id="1729" name="Gather_338549" type="Gather" version="opset8">
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-				<port id="3" precision="I64" names="1383">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1307">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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-		<layer id="1731" name="Constant_432813" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+		<layer id="1366" name="Constant_5969" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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+		<layer id="1367" name="Constant_5971" type="Const" version="opset1">
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 		</layer>
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+					<dim>80</dim>
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@@ -24675,170 +21124,85 @@
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-					<dim>32</dim>
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 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
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 		</layer>
-		<layer id="1737" name="Constant_401932" type="Const" version="opset1">
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+		<layer id="1369" name="Constant_36970" type="Const" version="opset1">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="1370" name="__module.model.gpt_neox.layers.8.attention/aten::neg/Multiply" type="Multiply" version="opset1">
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 					<dim>-1</dim>
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+					<dim>1</dim>
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-				<port id="0" precision="FP32">
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 					<dim>32</dim>
 					<dim>-1</dim>
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+		<layer id="1371" name="Constant_5864" type="Const" version="opset1">
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+		<layer id="1372" name="Constant_5908" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
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 		</layer>
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+		<layer id="1373" name="Constant_5910" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1374" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -24850,60 +21214,45 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 		</layer>
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-			<data batch_dims="0" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>40</dim>
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-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
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 			</output>
 		</layer>
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+		<layer id="1376" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -24920,7 +21269,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1321">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -24928,144 +21277,187 @@
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 		</layer>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="1377" name="__module.model.gpt_neox.layers.8.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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-		<layer id="1753" name="Constant_296874" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			<output>
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+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<data output_type="i64" />
+		<layer id="1378" name="ReadValue_49854" type="ReadValue" version="opset6">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="past_key_values.8.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="1379" name="Constant_47377" type="Const" version="opset1">
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 		</layer>
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 			<data batch_dims="0" />
 			<input>
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+					<dim>-1</dim>
+					<dim>80</dim>
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-				<port id="1" precision="I64" />
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-				<port id="0" precision="I64" />
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 				<port id="0" precision="I64">
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-		<layer id="1764" name="Constant_296882" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1388" name="Constant_5831" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1389" name="Constant_5833" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1765" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1390" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25074,78 +21466,77 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1413,x2.29">
+				<port id="5" precision="FP32" names="1303,k.17">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1766" name="Constant_325264" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1767" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="1391" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1414">
+				<port id="2" precision="FP32" names="1323">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1768" name="Constant_296927" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1392" name="Constant_6110" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1769" name="Constant_296932" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1393" name="Constant_6112" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1394" name="Constant_6114" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1770" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1395" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25154,17 +21545,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1408">
+				<port id="5" precision="FP32" names="1333,x2.35">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -25172,8 +21566,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1771" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="1396" name="Constant_36971" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1397" name="__module.model.gpt_neox.layers.8.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25182,51 +21587,51 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1416">
+				<port id="2" precision="FP32" names="1334">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1772" name="self.model.gpt_neox.layers.7.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="1398" name="Constant_6007" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.7.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1773" name="__module.model.gpt_neox.layers.7.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1399" name="Constant_6051" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1774" name="__module.model.gpt_neox.layers.7.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1400" name="Constant_6053" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1775" name="__module.model.gpt_neox.layers.7.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1401" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -25238,60 +21643,70 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1393,1396,sin.29">
+				<port id="5" precision="FP32" names="1328">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1776" name="Constant_38272" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="1777" name="__module.model.gpt_neox.layers.7.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1402" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="1401">
+				<port id="2" precision="FP32" names="1336">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1778" name="__module.model.gpt_neox.layers.7.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1403" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1402,sin.31">
+				<port id="2" precision="FP32" names="1337">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1779" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1404" name="__module.model.gpt_neox.layers.8.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25302,13 +21717,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1417">
+				<port id="2" precision="FP32" names="1338,1342">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -25316,8 +21731,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1780" name="__module.model.gpt_neox.layers.7.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1405" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25333,7 +21748,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1418,1436,1446,query.45,query.47">
+				<port id="2" precision="FP32" names="present.8.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -25341,28 +21756,47 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1781" name="Constant_4303" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1406" name="ReadValue_49856" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.8.valuepresent.8.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="1374">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="past_key_values.8.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1782" name="__module.model.gpt_neox.layers.7.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="1407" name="Constant_47380" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1408" name="Gather_47381" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1375,key.43">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -25370,51 +21804,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1783" name="Constant_296978" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1409" name="Constant_5791" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1784" name="Constant_296981" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1410" name="Constant_5793" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1785" name="Constant_296984" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1411" name="Constant_5795" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1786" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1412" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1298">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1413" name="Constant_5804" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1299">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1414" name="__module.model.gpt_neox.layers.8.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1381,k.15">
+				<port id="2" precision="FP32" names="1300">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -25422,8 +21887,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1787" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1415" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25433,13 +21898,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1419">
+				<port id="2" precision="FP32" names="present.8.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -25447,23 +21912,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1788" name="Constant_296988" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1789" name="Constant_296987" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="1416" name="Constant_6186" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1790" name="__module.model.gpt_neox.layers.7.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
+		<layer id="1417" name="ShapeOf_38783" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -25479,261 +21936,168 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1791" name="__module.model.gpt_neox.layers.7.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="1418" name="Constant_38784" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="1792" name="__module.model.gpt_neox.layers.7.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="1420,1425" />
 			</output>
 		</layer>
-		<layer id="1793" name="__module.model.gpt_neox.layers.7.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="1419" name="Constant_38785" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="1794" name="__module.model.gpt_neox.layers.7.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
 				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="1422,1423,1427,1428" />
 			</output>
 		</layer>
-		<layer id="1795" name="Constant_337658" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
+		<layer id="1420" name="Gather_38786" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1796" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1797" name="Constant_296986" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1798" name="ScatterUpdate_296989" type="ScatterUpdate" version="opset3">
+		<layer id="1421" name="ShapeOf_38787" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1799" name="Constant_296992" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="1422" name="Constant_38788" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1800" name="Constant_296995" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1423" name="Constant_38789" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1801" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1424" name="Gather_38790" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1429,x2.31">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1802" name="Constant_325265" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1803" name="__module.model.gpt_neox.layers.7.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1425" name="Add_38791" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1430">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1804" name="Constant_297040" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64" names="1347">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1805" name="Constant_297045" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1426" name="Constant_6189" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1806" name="__module.model.gpt_neox.layers.7.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1427" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1424">
+				<port id="5" precision="FP32" names="1351">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1807" name="__module.model.gpt_neox.layers.7.attention/aten::cat/Concat_2" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="1428" name="__module.model.gpt_neox.layers.8.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="1432">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="1808" name="__module.model.gpt_neox.layers.7.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1433">
+				<port id="4" precision="FP32" names="1352,attn_output.65">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -25741,8 +22105,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1809" name="__module.model.gpt_neox.layers.7.attention/aten::add/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1429" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1430" name="__module.model.gpt_neox.layers.8.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -25750,1032 +22121,722 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1434,1438">
+				<port id="2" precision="FP32" names="1353">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1810" name="__module.model.gpt_neox.layers.7.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1431" name="Constant_40543" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1432" name="__module.model.gpt_neox.layers.8.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.7.key">
+				<port id="2" precision="FP32" names="1356">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1811" name="Constant_432833" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="1812" name="Constant_432826" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="1433" name="self.model.gpt_neox.layers.8.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="467244232" size="3276800" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1813" name="Constant_432828" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1434" name="Convert_177059" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1814" name="Constant_432830" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="1435" name="self.model.gpt_neox.layers.8.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="470521032" size="25600" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1815" name="Concat_432831" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1436" name="Convert_177061" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				</port>
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-					<dim>-1</dim>
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-					<dim>80</dim>
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-			</output>
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-		<layer id="1874" name="__module.model.gpt_neox.layers.7.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="1875" name="__module.model.gpt_neox.layers.7.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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-			<input>
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-					<dim>-1</dim>
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-					<dim>80</dim>
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-				<port id="1" precision="I64">
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-					<dim>-1</dim>
-					<dim>2560</dim>
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-			</output>
-		</layer>
-		<layer id="1876" name="self.model.gpt_neox.layers.7.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 128" offset="457215172" size="3276800" />
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-					<dim>20</dim>
-					<dim>128</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1877" name="Convert_449173" type="Convert" version="opset1">
+		<layer id="1469" name="Convert_176149" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
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 					<dim>128</dim>
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 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1878" name="self.model.gpt_neox.layers.7.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 1" offset="460491972" size="25600" />
+		<layer id="1470" name="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="497426632" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="1879" name="Convert_449175" type="Convert" version="opset1">
+		<layer id="1471" name="Convert_176151" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1880" name="self.model.gpt_neox.layers.7.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1472" name="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1881" name="self.model.gpt_neox.layers.7.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="460517572" size="102400" />
+		<layer id="1473" name="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="497529032" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1882" name="self.model.gpt_neox.layers.7.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1474" name="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1883" name="Constant_449180" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="1475" name="Constant_176156" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1884" name="Reshape_449181" type="Reshape" version="opset1">
+		<layer id="1476" name="Reshape_176157" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -26785,36 +22846,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1885" name="self.model.gpt_neox.layers.7.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1477" name="__module.model.gpt_neox.layers.8.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1886" name="__module.model.gpt_neox.layers.7.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1478" name="__module.model.gpt_neox.layers.8.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
@@ -26825,17 +22889,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1887" name="Constant_325266" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="460619972" size="10240" />
+		<layer id="1479" name="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="497938632" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1480" name="__module.model.gpt_neox.layers.8.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1888" name="__module.model.gpt_neox.layers.7.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1481" name="__module.model.gpt_neox.layers.8.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26844,20 +22922,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1474,1476,input.31">
+				<port id="2" precision="FP32" names="1378,input.35">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1889" name="__module.model.gpt_neox.layers.7/aten::add/Add" type="Add" version="opset1">
+		<layer id="1482" name="__module.model.gpt_neox.layers.8/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26872,14 +22948,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1480,attn_output.31">
+				<port id="2" precision="FP32" names="1380,1382,hidden_states.39">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1890" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1483" name="__module.model.gpt_neox.layers.9.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -26887,7 +22963,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1891" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1484" name="__module.model.gpt_neox.layers.9.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26907,8 +22983,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1892" name="Constant_325267" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="460630212" size="10240" />
+		<layer id="1485" name="Constant_36975" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="497943752" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -26917,7 +22993,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1893" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1486" name="__module.model.gpt_neox.layers.9.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26939,8 +23015,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1894" name="Constant_325268" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="460640452" size="10240" />
+		<layer id="1487" name="Constant_36976" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="497953992" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -26949,7 +23025,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1895" name="__module.model.gpt_neox.layers.7.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1488" name="__module.model.gpt_neox.layers.9.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -26964,124 +23040,164 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1484">
+				<port id="2" precision="FP32" names="1392,hidden_states.37">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1896" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="460650692" size="26214400" />
+		<layer id="1489" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 128" offset="497964232" size="9830400" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="U4">
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1897" name="Convert_449185" type="Convert" version="opset1">
+		<layer id="1490" name="Convert_176718" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="U8">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="0" precision="U4">
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1898" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="486865092" size="10240" />
+		<layer id="1491" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 1" offset="507794632" size="76800" />
 			<output>
-				<port id="0" precision="U8">
-					<dim>10240</dim>
+				<port id="0" precision="U4">
+					<dim>7680</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1899" name="Convert_449188" type="Convert" version="opset1">
+		<layer id="1492" name="Convert_176720" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="U8">
-					<dim>10240</dim>
+				<port id="0" precision="U4">
+					<dim>7680</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1900" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1493" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1901" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="486875332" size="20480" />
+		<layer id="1494" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="507871432" size="307200" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1902" name="self.model.gpt_neox.layers.7.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1495" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>7680</dim>
+					<dim>20</dim>
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 		</layer>
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@@ -27090,7 +23206,7 @@
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@@ -27098,682 +23214,674 @@
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+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1948" name="__module.model.gpt_neox.layers.8.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1553" name="Gather_47519" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1521,query.49">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -27781,209 +23889,289 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1949" name="Constant_297203" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1554" name="Constant_6385" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1950" name="Constant_297206" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1555" name="Constant_6387" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1951" name="Constant_297209" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1556" name="Constant_6389" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1952" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1557" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1528,q.17">
+				<port id="5" precision="FP32" names="1404">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1953" name="self.model.gpt_neox.layers.8.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="139523024" size="655360" />
+		<layer id="1558" name="Constant_6398" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.8.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64" names="1405">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1954" name="__module.model.gpt_neox.layers.8.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1559" name="__module.model.gpt_neox.layers.9.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1406,query.19">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1955" name="Constant_297215" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1560" name="Constant_6439" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1956" name="Constant_297218" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="1561" name="Constant_6441" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1957" name="Constant_297221" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1562" name="Constant_6443" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1958" name="__module.model.gpt_neox.layers.8.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1563" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1522">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="1413,q.19">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1959" name="ShapeOf_338637" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1564" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1419">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1960" name="Constant_340994" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1565" name="Constant_6597" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1961" name="Constant_338639" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1566" name="Constant_6599" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1962" name="Gather_338640" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
+		<layer id="1567" name="Constant_6601" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1568" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_2" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="1532">
+				<port id="5" precision="FP32" names="1429,x2.37">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1569" name="Constant_36978" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1963" name="Constant_432846" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
+		<layer id="1570" name="__module.model.gpt_neox.layers.9.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="2" precision="FP32" names="1430">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1964" name="Constant_432839" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="1571" name="Constant_6494" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1965" name="Constant_432841" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1572" name="Constant_6538" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1966" name="Constant_432843" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="1573" name="Constant_6540" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1967" name="Concat_432844" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1574" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -27994,42 +24182,62 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1424">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1968" name="Broadcast_432847" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1575" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="1432">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1969" name="ReadValue_417402" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.8.keypresent.8.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1576" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.8.key">
+				<port id="2" precision="FP32" names="1433">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -28037,14 +24245,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1970" name="Constant_401938" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="1971" name="Gather_401939" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1577" name="__module.model.gpt_neox.layers.9.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28052,13 +24254,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="1434,1452">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -28066,7 +24270,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1972" name="ShapeOf_338642" type="ShapeOf" version="opset3">
+		<layer id="1578" name="Constant_6816" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1579" name="ShapeOf_38856" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -28082,54 +24294,85 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1973" name="Constant_338643" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+		<layer id="1580" name="Constant_38857" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1974" name="Constant_338644" type="Const" version="opset1">
+		<layer id="1581" name="Constant_38858" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="1975" name="Gather_338645" type="Gather" version="opset8">
+		<layer id="1582" name="Gather_38859" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
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+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1583" name="ShapeOf_38860" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="1976" name="Constant_337664" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1584" name="Constant_38861" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1977" name="Reshape_340921" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
+		<layer id="1585" name="Constant_38862" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
 				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1586" name="Gather_38863" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1978" name="__module.model.gpt_neox.layers.8.attention/aten::add_/Add" type="Add" version="opset1">
+		<layer id="1587" name="Add_38864" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I64">
@@ -28140,25 +24383,26 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="1533,1537,1538,seq_len.33">
+				<port id="2" precision="I64" names="1459">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1979" name="__module.model.gpt_neox.layers.8.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1588" name="Constant_6819" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1980" name="__module.model.gpt_neox.layers.8.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1589" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -28169,61 +24413,65 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1541,1544,cos.33">
+				<port id="5" precision="FP32" names="1463">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="I32" />
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-		</layer>
-		<layer id="1982" name="__module.model.gpt_neox.layers.8.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1590" name="__module.model.gpt_neox.layers.9.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="1547">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="1983" name="__module.model.gpt_neox.layers.8.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1548,cos.35">
+				<port id="4" precision="FP32" names="1464,attn_output.73">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1984" name="__module.model.gpt_neox.layers.8.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1591" name="__module.model.gpt_neox.layers.9.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1592" name="__module.model.gpt_neox.layers.9.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28231,1028 +24479,1189 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1552">
+				<port id="2" precision="FP32" names="1465">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1985" name="Constant_297226" type="Const" version="opset1">
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-				<port id="0" precision="I64">
-					<dim>4</dim>
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-			</output>
-		</layer>
-		<layer id="1986" name="Constant_297225" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="1593" name="Constant_40544" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1987" name="__module.model.gpt_neox.layers.8.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1594" name="__module.model.gpt_neox.layers.9.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="1468">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="1595" name="self.model.gpt_neox.layers.9.attention.dense.weight" type="Const" version="opset1">
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 			<output>
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+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="1596" name="Convert_177070" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
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-				<port id="2" precision="I32" />
 			</input>
 			<output>
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+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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+		<layer id="1597" name="self.model.gpt_neox.layers.9.attention.dense.weight/zero_point" type="Const" version="opset1">
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 			<output>
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+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="1991" name="__module.model.gpt_neox.layers.8.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
+		<layer id="1598" name="Convert_177072" type="Convert" version="opset1">
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 			<input>
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+				<port id="0" precision="U4">
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+					<dim>20</dim>
+					<dim>1</dim>
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 			</input>
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-				<port id="0" precision="I64">
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 		</layer>
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-				<port id="1" precision="I64">
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+					<dim>128</dim>
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
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 		</layer>
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 				</port>
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 		</layer>
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 			</input>
 			<output>
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-					<dim>4</dim>
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+					<dim>20</dim>
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+					<dim>2560</dim>
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 		</layer>
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+		<layer id="1652" name="Convert_176729" type="Convert" version="opset1">
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 		</layer>
-		<layer id="2046" name="Constant_432854" type="Const" version="opset1">
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+		<layer id="1653" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
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 		</layer>
-		<layer id="2047" name="Constant_432856" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="1654" name="Convert_176731" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
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 			</output>
 		</layer>
-		<layer id="2048" name="Concat_432857" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1655" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
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-				<port id="2" precision="I64">
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>128</dim>
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+			</output>
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+		<layer id="1656" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight/scale" type="Const" version="opset1">
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I64">
+			</output>
+		</layer>
+		<layer id="1657" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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 			</input>
 			<output>
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+				<port id="2" precision="FP16">
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>128</dim>
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 			</output>
 		</layer>
-		<layer id="2049" name="Broadcast_432860" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1658" name="Constant_176736" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="139492128" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
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+			</output>
+		</layer>
+		<layer id="1659" name="Reshape_176737" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="FP16">
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+					<dim>20</dim>
+					<dim>128</dim>
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 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
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+			</input>
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+				<port id="2" precision="FP16">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1660" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<port id="0" precision="FP16">
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+					<dim>2560</dim>
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+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1661" name="__module.model.gpt_neox.layers.10.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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+				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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+					<dim>-1</dim>
+					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
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-			<data variable_id="past_key_values.8.valuepresent.8.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1662" name="Constant_36985" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="549143752" size="30720" />
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+					<dim>1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1663" name="__module.model.gpt_neox.layers.10.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1511,qkv.41">
 					<dim>-1</dim>
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 					<dim>-1</dim>
-					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="2051" name="Constant_401941" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1664" name="__module.model.gpt_neox.layers.10.attention/prim::ListConstruct" type="Const" version="opset1">
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 			<output>
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+					<dim>4</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="1665" name="__module.model.gpt_neox.layers.10.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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-				<port id="2" precision="I64" />
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1515,qkv.43">
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>240</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="1666" name="Constant_7015" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="1667" name="Constant_7017" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="2055" name="Constant_297447" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1668" name="Constant_7019" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1669" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29261,17 +25670,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1516">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -29279,15 +25691,15 @@
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 			</output>
 		</layer>
-		<layer id="2057" name="Constant_4898" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1670" name="Constant_7028" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="1526">
+				<port id="0" precision="I64" names="1517">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2058" name="__module.model.gpt_neox.layers.8.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="1671" name="__module.model.gpt_neox.layers.10.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29300,32 +25712,7 @@
 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
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-					<dim>80</dim>
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-		<layer id="2059" name="__module.model.gpt_neox.layers.8.attention/aten::cat/Concat_5" type="Concat" version="opset1">
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-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.8.value">
+				<port id="2" precision="FP32" names="1518,query.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -29333,35 +25720,31 @@
 				</port>
 			</output>
 		</layer>
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-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="140833836" size="4194304" />
+		<layer id="1672" name="Constant_7069" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="BOOL" names="1604">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
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-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2061" name="Constant_297451" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028140" size="24" />
+		<layer id="1673" name="Constant_7071" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2062" name="Constant_297450" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="1674" name="Constant_7073" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2063" name="ShapeOf_338647" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1675" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29369,50 +25752,30 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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-		<layer id="2064" name="Constant_338648" type="Const" version="opset1">
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-		<layer id="2065" name="Constant_338649" type="Const" version="opset1">
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-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" />
+				<port id="5" precision="FP32" names="1525,q.21">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2067" name="Add_338651" type="Add" version="opset1">
+		<layer id="1676" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -29420,82 +25783,53 @@
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-				<port id="0" precision="I64">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1677" name="Constant_7227" type="Const" version="opset1">
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+		<layer id="1678" name="Constant_7229" type="Const" version="opset1">
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 		</layer>
-		<layer id="2075" name="Constant_297449" type="Const" version="opset1">
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+		<layer id="1679" name="Constant_7231" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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+					<dim>-1</dim>
+					<dim>80</dim>
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@@ -29503,139 +25837,89 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1681" name="Constant_36986" type="Const" version="opset1">
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 		</layer>
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+		<layer id="1683" name="Constant_7124" type="Const" version="opset1">
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+		<layer id="1684" name="Constant_7168" type="Const" version="opset1">
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 			<input>
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+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
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@@ -29643,186 +25927,176 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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-		<layer id="2088" name="Constant_297535" type="Const" version="opset1">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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+		<layer id="1687" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat" type="Concat" version="opset1">
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-				<port id="2" precision="I64">
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+					<dim>32</dim>
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 		</layer>
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+		<layer id="1696" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -29833,53 +26107,73 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="1609">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1519">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2102" name="Maximum_315566" type="Maximum" version="opset1">
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-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="1697" name="Constant_7046" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64" names="1520">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2103" name="__module.model.gpt_neox.layers.8.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1698" name="__module.model.gpt_neox.layers.10.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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-					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1521,key.41">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2104" name="__module.model.gpt_neox.layers.8.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="1699" name="Constant_7089" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1700" name="Constant_7091" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1701" name="Constant_7093" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1702" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -29887,27 +26181,46 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1527,k.21">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</output>
+		</layer>
+		<layer id="1703" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1612,1613,sdpa_result.17,tensor.33">
+				<port id="2" precision="FP32" names="1547">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -29915,683 +26228,779 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2105" name="Constant_5339" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1704" name="Constant_7370" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="I64" names="1614">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2106" name="__module.model.gpt_neox.layers.8.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
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-				<port id="0" precision="FP32">
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-					<dim>32</dim>
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-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
+		<layer id="1705" name="Constant_7372" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2107" name="__module.model.gpt_neox.layers.8.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="1706" name="Constant_7374" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2108" name="__module.model.gpt_neox.layers.8.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="1707" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
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-			<output>
-				<port id="2" precision="FP32" names="1620">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>2560</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="2109" name="self.model.gpt_neox.layers.8.attention.dense.weight" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2110" name="Convert_449217" type="Convert" version="opset1">
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-			<input>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="5" precision="FP32" names="1557,x2.43">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u4" shape="2560, 20, 1" offset="514108612" size="25600" />
+		<layer id="1708" name="Constant_36987" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="2112" name="Convert_449219" type="Convert" version="opset1">
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-			<input>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
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-					<dim>20</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="2113" name="self.model.gpt_neox.layers.8.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1709" name="__module.model.gpt_neox.layers.10.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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+					<dim>40</dim>
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-				<port id="1" precision="FP16">
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-					<dim>20</dim>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
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-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
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 			</output>
 		</layer>
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+		<layer id="1710" name="Constant_7267" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="FP16">
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-					<dim>20</dim>
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 			</output>
 		</layer>
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-					<dim>20</dim>
-					<dim>1</dim>
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-			</input>
+		<layer id="1711" name="Constant_7311" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="2" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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 			<output>
 				<port id="0" precision="I64">
-					<dim>2</dim>
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 		</layer>
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 			<input>
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+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
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-					<dim>2560</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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-					<dim>2560</dim>
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+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1580">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2141" name="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 128" offset="540553412" size="13107200" />
+		<layer id="1745" name="self.model.gpt_neox.layers.10.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="549174472" size="3276800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2142" name="Convert_449239" type="Convert" version="opset1">
+		<layer id="1746" name="Convert_177081" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>80</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2143" name="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 1" offset="553660612" size="102400" />
+		<layer id="1747" name="self.model.gpt_neox.layers.10.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="552451272" size="25600" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2144" name="Convert_449241" type="Convert" version="opset1">
+		<layer id="1748" name="Convert_177083" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>80</dim>
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 					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2145" name="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1749" name="self.model.gpt_neox.layers.10.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
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 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2146" name="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 80, 1" offset="553763012" size="409600" />
+		<layer id="1750" name="self.model.gpt_neox.layers.10.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="552476872" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2147" name="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1751" name="self.model.gpt_neox.layers.10.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2148" name="Constant_449246" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="1752" name="Constant_177088" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2149" name="Reshape_449247" type="Reshape" version="opset1">
+		<layer id="1753" name="Reshape_177089" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -30601,36 +27010,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2150" name="self.model.gpt_neox.layers.8.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1754" name="self.model.gpt_neox.layers.10.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2151" name="__module.model.gpt_neox.layers.8.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1755" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -30641,8 +27050,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2152" name="Constant_325280" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="554172612" size="10240" />
+		<layer id="1756" name="Constant_36988" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="552579272" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -30651,7 +27060,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2153" name="__module.model.gpt_neox.layers.8.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1757" name="__module.model.gpt_neox.layers.10.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30666,14 +27075,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1642,input.37">
+				<port id="2" precision="FP32" names="1583,1585,input.41">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2154" name="__module.model.gpt_neox.layers.8/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1758" name="__module.model.gpt_neox.layers.10/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30688,14 +27097,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1644,1646,hidden_states.19">
+				<port id="2" precision="FP32" names="1589,attn_output.87">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2155" name="__module.model.gpt_neox.layers.9.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1759" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -30703,7 +27112,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2156" name="__module.model.gpt_neox.layers.9.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1760" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30723,8 +27132,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2157" name="Constant_325281" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="554182852" size="10240" />
+		<layer id="1761" name="Constant_36989" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="552589512" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -30733,7 +27142,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2158" name="__module.model.gpt_neox.layers.9.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1762" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30755,8 +27164,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2159" name="Constant_325282" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="554193092" size="10240" />
+		<layer id="1763" name="Constant_36990" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="552599752" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -30765,7 +27174,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2160" name="__module.model.gpt_neox.layers.9.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1764" name="__module.model.gpt_neox.layers.10.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -30780,134 +27189,134 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1656">
+				<port id="2" precision="FP32" names="1593">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2161" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="554203332" size="9830400" />
+		<layer id="1765" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="552609992" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2162" name="Convert_449250" type="Convert" version="opset1">
+		<layer id="1766" name="Convert_176179" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2163" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="564033732" size="76800" />
+		<layer id="1767" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="565717192" size="102400" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2164" name="Convert_449252" type="Convert" version="opset1">
+		<layer id="1768" name="Convert_176181" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2165" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1769" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2166" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="564110532" size="307200" />
+		<layer id="1770" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="565819592" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2167" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1771" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2168" name="Constant_449257" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="139492128" size="16" />
+		<layer id="1772" name="Constant_176186" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2169" name="Reshape_449258" type="Reshape" version="opset1">
+		<layer id="1773" name="Reshape_176187" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
@@ -30917,27 +27326,30 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2170" name="self.model.gpt_neox.layers.9.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1774" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2171" name="__module.model.gpt_neox.layers.9.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1775" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -30946,7 +27358,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
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+					<dim>10240</dim>
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@@ -30954,775 +27366,666 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>10240</dim>
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 7680" offset="564417732" size="30720" />
+		<layer id="1776" name="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="566229192" size="20480" />
 			<output>
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-					<dim>7680</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.10.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1777" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2173" name="__module.model.gpt_neox.layers.9.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1778" name="__module.model.gpt_neox.layers.10.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>1</dim>
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+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="1779" name="__module.model.gpt_neox.layers.10.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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 					<dim>-1</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1780" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
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+					<dim>80</dim>
+					<dim>128</dim>
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+		<layer id="1781" name="Convert_176189" type="Convert" version="opset1">
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+					<dim>80</dim>
+					<dim>128</dim>
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 					<dim>80</dim>
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+		<layer id="1782" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
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 		</layer>
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+		<layer id="1783" name="Convert_176191" type="Convert" version="opset1">
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 			<input>
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+				<port id="0" precision="U4">
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 					<dim>80</dim>
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 			<output>
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 					<dim>80</dim>
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 		</layer>
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+		<layer id="1784" name="self.model.gpt_neox.layers.10.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
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 					<dim>80</dim>
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 					<dim>80</dim>
+					<dim>1</dim>
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 			<output>
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 					<dim>80</dim>
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+					<dim>80</dim>
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-				<port id="0" precision="I64">
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-			<data mode="numpy" />
+		<layer id="1789" name="__module.model.gpt_neox.layers.10.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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 			</output>
 		</layer>
-		<layer id="2225" name="__module.model.gpt_neox.layers.9.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="1814" name="__module.model.gpt_neox.layers.11.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522864" size="32" />
 			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="2226" name="__module.model.gpt_neox.layers.9.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="1718,1723" />
-			</output>
-		</layer>
-		<layer id="2227" name="__module.model.gpt_neox.layers.9.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2228" name="__module.model.gpt_neox.layers.9.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
+		<layer id="1815" name="__module.model.gpt_neox.layers.11.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="1720,1721,1725,1726" />
+				<port id="2" precision="FP32" names="1627,qkv.47">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2229" name="Constant_337678" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1816" name="Constant_7645" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2230" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1817" name="Constant_7647" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2231" name="Constant_297688" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1818" name="Constant_7649" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2232" name="ScatterUpdate_297691" type="ScatterUpdate" version="opset3">
+		<layer id="1819" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -31730,114 +28033,76 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2233" name="Constant_297694" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1628">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2234" name="Constant_297697" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1820" name="Constant_7658" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="1629">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2235" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1821" name="__module.model.gpt_neox.layers.11.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1727,x2.39">
+				<port id="2" precision="FP32" names="1630,query.23">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2236" name="Constant_325285" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="1822" name="Constant_7699" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2237" name="__module.model.gpt_neox.layers.9.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="1728">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="2238" name="Constant_297742" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1823" name="Constant_7701" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2239" name="Constant_297747" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1824" name="Constant_7703" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2240" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1825" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -31846,42 +28111,45 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1722">
+				<port id="5" precision="FP32" names="1637,q.23">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2241" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat_2" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="1826" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1730">
+				<port id="2" precision="FP32" names="1643">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -31889,36 +28157,36 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2242" name="self.model.gpt_neox.layers.9.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="1827" name="Constant_7857" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.9.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2243" name="__module.model.gpt_neox.layers.9.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1828" name="Constant_7859" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2244" name="__module.model.gpt_neox.layers.9.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1829" name="Constant_7861" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2245" name="__module.model.gpt_neox.layers.9.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1830" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -31930,77 +28198,127 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1691,1694,sin.37">
+				<port id="5" precision="FP32" names="1653,x2.45">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2246" name="Constant_38284" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="1831" name="Constant_36994" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2247" name="__module.model.gpt_neox.layers.9.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1832" name="__module.model.gpt_neox.layers.11.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="1699">
+				<port id="2" precision="FP32" names="1654">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1833" name="Constant_7754" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1834" name="Constant_7798" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1835" name="Constant_7800" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2248" name="__module.model.gpt_neox.layers.9.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="1836" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1700,sin.39">
+				<port id="5" precision="FP32" names="1648">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2249" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1837" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1731">
+				<port id="2" precision="FP32" names="1656">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32008,7 +28326,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2250" name="__module.model.gpt_neox.layers.9.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="1838" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32019,13 +28337,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1732,1736">
+				<port id="2" precision="FP32" names="1657">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32033,8 +28351,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2251" name="__module.model.gpt_neox.layers.9.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="1839" name="__module.model.gpt_neox.layers.11.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32050,7 +28368,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.9.key">
+				<port id="2" precision="FP32" names="1658,1676">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32058,77 +28376,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2263" name="Constant_432885" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2264" name="Constant_432878" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="2265" name="Constant_432880" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="2266" name="Constant_432882" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="2267" name="Concat_432883" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
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-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
-					<dim>1</dim>
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-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2268" name="Broadcast_432886" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2269" name="ReadValue_417384" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.31.valuepresent.31.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1840" name="ReadValue_49746" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.11.keypresent.11.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32138,7 +28387,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.31.value">
+				<port id="1" precision="FP32" names="past_key_values.11.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32146,13 +28395,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2270" name="Constant_402079" type="Const" version="opset1">
+		<layer id="1841" name="Constant_47395" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2271" name="Gather_402080" type="Gather" version="opset8">
+		<layer id="1842" name="Gather_47396" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32175,32 +28424,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2272" name="Constant_297542" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1843" name="Constant_7663" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2273" name="Constant_297545" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1844" name="Constant_7665" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2274" name="Constant_297548" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1845" name="Constant_7667" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2275" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1846" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32209,17 +28457,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1668">
+				<port id="5" precision="FP32" names="1631">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -32227,15 +28478,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2276" name="Constant_5451" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1847" name="Constant_7676" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="1669">
+				<port id="0" precision="I64" names="1632">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2277" name="__module.model.gpt_neox.layers.9.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1848" name="__module.model.gpt_neox.layers.11.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32248,7 +28499,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1670,query.55">
+				<port id="2" precision="FP32" names="1633,key.45">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32256,32 +28507,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2278" name="Constant_297554" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1849" name="Constant_7719" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2279" name="Constant_297557" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1850" name="Constant_7721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2280" name="Constant_297560" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1851" name="Constant_7723" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2281" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1852" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32290,17 +28540,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1677,q.19">
+				<port id="5" precision="FP32" names="1639,k.23">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32308,7 +28561,7 @@
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 			</output>
 		</layer>
-		<layer id="2282" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="1853" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32325,7 +28578,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1701">
+				<port id="2" precision="FP32" names="1659">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32333,144 +28586,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2283" name="Constant_297577" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-			</output>
-		</layer>
-		<layer id="2284" name="Constant_297576" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="1854" name="Constant_8000" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2285" name="__module.model.gpt_neox.layers.9.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
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-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2286" name="__module.model.gpt_neox.layers.9.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="2287" name="__module.model.gpt_neox.layers.9.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="1702,1707" />
-			</output>
-		</layer>
-		<layer id="2288" name="__module.model.gpt_neox.layers.9.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" />
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-		</layer>
-		<layer id="2289" name="__module.model.gpt_neox.layers.9.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="1704,1705,1709,1710" />
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-		</layer>
-		<layer id="2290" name="Constant_337676" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1855" name="Constant_8002" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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-		<layer id="2292" name="Constant_297575" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1856" name="Constant_8004" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
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-		</layer>
-		<layer id="2293" name="ScatterUpdate_297578" type="ScatterUpdate" version="opset3">
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 				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
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-					<dim>4</dim>
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-		</layer>
-		<layer id="2294" name="Constant_297581" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		</layer>
-		<layer id="2295" name="Constant_297584" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
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-				<port id="0" precision="I64">
-					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="2296" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1857" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32479,17 +28619,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1711,x2.37">
+				<port id="5" precision="FP32" names="1669,x2.47">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32497,8 +28640,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2297" name="Constant_325284" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="1858" name="Constant_36995" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -32508,7 +28651,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2298" name="__module.model.gpt_neox.layers.9.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="1859" name="__module.model.gpt_neox.layers.11.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32525,7 +28668,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1670">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32533,24 +28676,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2299" name="Constant_297629" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1860" name="Constant_7897" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2300" name="Constant_297634" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1861" name="Constant_7941" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1862" name="Constant_7943" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2301" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1863" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32559,17 +28709,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1706">
+				<port id="5" precision="FP32" names="1664">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32577,7 +28730,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2302" name="__module.model.gpt_neox.layers.9.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="1864" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32594,7 +28747,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1714">
+				<port id="2" precision="FP32" names="1672">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32602,7 +28755,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2303" name="__module.model.gpt_neox.layers.9.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="1865" name="__module.model.gpt_neox.layers.11.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32619,7 +28772,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1715">
+				<port id="2" precision="FP32" names="1673">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32627,7 +28780,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2304" name="__module.model.gpt_neox.layers.9.attention/aten::add/Add" type="Add" version="opset1">
+		<layer id="1866" name="__module.model.gpt_neox.layers.11.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -32644,7 +28797,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1716,1734,1744,query.57,query.59">
+				<port id="2" precision="FP32" names="1674,1678">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -32652,35 +28805,58 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2305" name="__module.model.gpt_neox.layers.9.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="140833836" size="4194304" />
+		<layer id="1867" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="BOOL" names="1753">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="present.11.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2306" name="Constant_297802" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028140" size="24" />
+		<layer id="1868" name="ReadValue_49748" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.11.valuepresent.11.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="FP32" names="past_key_values.11.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2307" name="Constant_297801" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="1869" name="Constant_47398" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2308" name="ShapeOf_338738" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1870" name="Gather_47399" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -32688,461 +28864,262 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2309" name="Constant_338739" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+		<layer id="1871" name="Constant_7681" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2310" name="Constant_338740" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1872" name="Constant_7683" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2311" name="Gather_338741" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2312" name="Add_338742" type="Add" version="opset1">
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="1873" name="Constant_7685" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="2" precision="I64" names="1748" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2313" name="ShapeOf_338809" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1874" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2314" name="Constant_338810" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="5" precision="FP32" names="1634">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2315" name="Constant_338811" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="1875" name="Constant_7694" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64" names="1635">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2316" name="Gather_338812" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1876" name="__module.model.gpt_neox.layers.11.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="1746" />
+				<port id="2" precision="FP32" names="1636">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1877" name="__module.model.gpt_neox.layers.11.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="2" precision="I64" names="1750,1751" />
+				<port id="2" precision="FP32" names="present.11.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1878" name="Constant_8076" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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 		</layer>
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-			<data special_zero="false" />
+		<layer id="1879" name="ShapeOf_39002" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2320" name="Constant_297800" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="1880" name="Constant_39003" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I32">
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2321" name="ScatterUpdate_297803" type="ScatterUpdate" version="opset3">
+		<layer id="1881" name="Constant_39004" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="1882" name="Gather_39005" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>3</dim>
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 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
+				<port id="2" precision="I64" />
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+			<output>
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+			</output>
+		</layer>
+		<layer id="1883" name="ShapeOf_39006" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
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+				<port id="0" precision="FP32">
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 			<output>
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+				<port id="1" precision="I64">
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 				</port>
 			</output>
 		</layer>
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 			<output>
 				<port id="0" precision="I64">
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1885" name="Constant_39008" type="Const" version="opset1">
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 			<input>
-				<port id="0" precision="I64" />
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 				<port id="1" precision="I64">
 					<dim>1</dim>
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 			<output>
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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 				<port id="0" precision="I64">
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 			<output>
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 			</output>
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 			<output>
 				<port id="0" precision="I64">
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-		<layer id="2337" name="__module.model.gpt_neox.layers.9.attention/aten::where/Select" type="Select" version="opset1">
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-		</layer>
-		<layer id="2338" name="Add_315636" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1889" name="__module.model.gpt_neox.layers.11.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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-		<layer id="2340" name="Constant_338815" type="Const" version="opset1">
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-		<layer id="2341" name="Constant_338816" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		<layer id="2342" name="Gather_338817" type="Gather" version="opset8">
-			<data batch_dims="0" />
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-				<port id="0" precision="I64">
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-		<layer id="2343" name="Constant_268051" type="Const" version="opset1">
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-		<layer id="2344" name="Constant_268053" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="2345" name="Constant_268055" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="2346" name="__module.model.gpt_neox.layers.9.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
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 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
@@ -33152,44 +29129,12 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
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-					<dim>-1</dim>
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-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1687">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -33197,7 +29142,7 @@
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 			</output>
 		</layer>
-		<layer id="2349" name="__module.model.gpt_neox.layers.9.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="1890" name="__module.model.gpt_neox.layers.11.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33226,7 +29171,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1761,1762,sdpa_result.19,tensor.37">
+				<port id="4" precision="FP32" names="1688,attn_output.89">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -33234,15 +29179,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2350" name="Constant_5920" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1891" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64" names="1763">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2351" name="__module.model.gpt_neox.layers.9.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="1892" name="__module.model.gpt_neox.layers.11.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -33250,12 +29195,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1764">
+				<port id="2" precision="FP32" names="1689">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -33263,15 +29208,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2352" name="__module.model.gpt_neox.layers.9.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="1893" name="Constant_40546" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2353" name="__module.model.gpt_neox.layers.9.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="1894" name="__module.model.gpt_neox.layers.11.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33285,15 +29230,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1769">
+				<port id="2" precision="FP32" names="1692">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2354" name="self.model.gpt_neox.layers.9.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 128" offset="564448452" size="3276800" />
+		<layer id="1895" name="self.model.gpt_neox.layers.11.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="590139592" size="3276800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -33302,7 +29247,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2355" name="Convert_449261" type="Convert" version="opset1">
+		<layer id="1896" name="Convert_177092" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -33319,8 +29264,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2356" name="self.model.gpt_neox.layers.9.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 1" offset="567725252" size="25600" />
+		<layer id="1897" name="self.model.gpt_neox.layers.11.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="593416392" size="25600" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -33329,7 +29274,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2357" name="Convert_449263" type="Convert" version="opset1">
+		<layer id="1898" name="Convert_177094" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -33346,7 +29291,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2358" name="self.model.gpt_neox.layers.9.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1899" name="self.model.gpt_neox.layers.11.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33368,8 +29313,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2359" name="self.model.gpt_neox.layers.9.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="567750852" size="102400" />
+		<layer id="1900" name="self.model.gpt_neox.layers.11.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="593441992" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -33378,7 +29323,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2360" name="self.model.gpt_neox.layers.9.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1901" name="self.model.gpt_neox.layers.11.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33400,15 +29345,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2361" name="Constant_449268" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="1902" name="Constant_177099" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2362" name="Reshape_449269" type="Reshape" version="opset1">
+		<layer id="1903" name="Reshape_177100" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33427,7 +29372,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2363" name="self.model.gpt_neox.layers.9.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1904" name="self.model.gpt_neox.layers.11.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33442,7 +29387,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2364" name="__module.model.gpt_neox.layers.9.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1905" name="__module.model.gpt_neox.layers.11.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33463,8 +29408,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2365" name="Constant_325286" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="567853252" size="10240" />
+		<layer id="1906" name="Constant_36996" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="593544392" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -33473,7 +29418,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2366" name="__module.model.gpt_neox.layers.9.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1907" name="__module.model.gpt_neox.layers.11.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33488,14 +29433,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1772,1774,input.39">
+				<port id="2" precision="FP32" names="1695,1697,input.45">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2367" name="__module.model.gpt_neox.layers.9/aten::add/Add" type="Add" version="opset1">
+		<layer id="1908" name="__module.model.gpt_neox.layers.11/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33510,14 +29455,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1778,attn_output.39">
+				<port id="2" precision="FP32" names="1701,attn_output.95">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2368" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1909" name="__module.model.gpt_neox.layers.11.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -33525,7 +29470,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2369" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1910" name="__module.model.gpt_neox.layers.11.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33545,8 +29490,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2370" name="Constant_325287" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="567863492" size="10240" />
+		<layer id="1911" name="Constant_36997" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="593554632" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -33555,7 +29500,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2371" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1912" name="__module.model.gpt_neox.layers.11.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33577,8 +29522,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2372" name="Constant_325288" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="567873732" size="10240" />
+		<layer id="1913" name="Constant_36998" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="593564872" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -33587,7 +29532,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2373" name="__module.model.gpt_neox.layers.9.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1914" name="__module.model.gpt_neox.layers.11.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33602,15 +29547,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1782">
+				<port id="2" precision="FP32" names="1705">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2374" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 128" offset="567883972" size="13107200" />
+		<layer id="1915" name="self.model.gpt_neox.layers.11.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="593575112" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>10240</dim>
@@ -33619,7 +29564,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2375" name="Convert_449272" type="Convert" version="opset1">
+		<layer id="1916" name="Convert_176199" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -33636,8 +29581,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2376" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 1" offset="580991172" size="102400" />
+		<layer id="1917" name="self.model.gpt_neox.layers.11.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="606682312" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>10240</dim>
@@ -33646,7 +29591,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2377" name="Convert_449274" type="Convert" version="opset1">
+		<layer id="1918" name="Convert_176201" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -33663,7 +29608,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2378" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1919" name="self.model.gpt_neox.layers.11.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33685,8 +29630,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2379" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 20, 1" offset="581093572" size="409600" />
+		<layer id="1920" name="self.model.gpt_neox.layers.11.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="606784712" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -33695,7 +29640,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2380" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1921" name="self.model.gpt_neox.layers.11.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33717,15 +29662,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2381" name="Constant_449279" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="162082980" size="16" />
+		<layer id="1922" name="Constant_176206" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2382" name="Reshape_449280" type="Reshape" version="opset1">
+		<layer id="1923" name="Reshape_176207" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33744,8 +29689,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2383" name="self.model.gpt_neox.layers.9.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1924" name="__module.model.gpt_neox.layers.11.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -33759,7 +29707,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2384" name="__module.model.gpt_neox.layers.9.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1925" name="__module.model.gpt_neox.layers.11.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33780,17 +29728,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2385" name="Constant_325289" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="581503172" size="40960" />
+		<layer id="1926" name="self.model.gpt_neox.layers.11.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="607194312" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.11.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2386" name="__module.model.gpt_neox.layers.9.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1927" name="__module.model.gpt_neox.layers.11.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1928" name="__module.model.gpt_neox.layers.11.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33799,20 +29761,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1787">
+				<port id="2" precision="FP32" names="1710">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2387" name="__module.model.gpt_neox.layers.9.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="1929" name="__module.model.gpt_neox.layers.11.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33822,15 +29782,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="1788">
+				<port id="1" precision="FP32" names="1711">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2388" name="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 128" offset="581544132" size="13107200" />
+		<layer id="1930" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="607214792" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -33839,7 +29799,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2389" name="Convert_449283" type="Convert" version="opset1">
+		<layer id="1931" name="Convert_176209" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -33856,8 +29816,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2390" name="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 1" offset="594651332" size="102400" />
+		<layer id="1932" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="620321992" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -33866,7 +29826,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2391" name="Convert_449285" type="Convert" version="opset1">
+		<layer id="1933" name="Convert_176211" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -33883,7 +29843,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2392" name="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1934" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33905,8 +29865,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2393" name="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 80, 1" offset="594753732" size="409600" />
+		<layer id="1935" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="620424392" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -33915,7 +29875,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2394" name="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1936" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33937,15 +29897,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2395" name="Constant_449290" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="1937" name="Constant_176216" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2396" name="Reshape_449291" type="Reshape" version="opset1">
+		<layer id="1938" name="Reshape_176217" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -33964,8 +29924,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2397" name="self.model.gpt_neox.layers.9.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1939" name="__module.model.gpt_neox.layers.11.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -33979,7 +29942,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2398" name="__module.model.gpt_neox.layers.9.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1940" name="__module.model.gpt_neox.layers.11.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34000,17 +29963,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2399" name="Constant_325290" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="595163332" size="10240" />
+		<layer id="1941" name="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="620833992" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.11.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2400" name="__module.model.gpt_neox.layers.9.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1942" name="__module.model.gpt_neox.layers.11.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1943" name="__module.model.gpt_neox.layers.11.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34019,20 +29996,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1714,input.47">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
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+		<layer id="1944" name="__module.model.gpt_neox.layers.11/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34047,14 +30022,14 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1716,1718,hidden_states.51">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="2402" name="__module.model.gpt_neox.layers.10.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="1945" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -34062,7 +30037,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2403" name="__module.model.gpt_neox.layers.10.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="1946" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34082,8 +30057,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2404" name="Constant_325291" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="595173572" size="10240" />
+		<layer id="1947" name="Constant_36999" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="620839112" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34092,7 +30067,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2405" name="__module.model.gpt_neox.layers.10.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="1948" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34114,8 +30089,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2406" name="Constant_325292" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="595183812" size="10240" />
+		<layer id="1949" name="Constant_37000" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="620849352" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34124,7 +30099,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2407" name="__module.model.gpt_neox.layers.10.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="1950" name="__module.model.gpt_neox.layers.12.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34139,15 +30114,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1805">
+				<port id="2" precision="FP32" names="1728,hidden_states.49">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2408" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="595194052" size="9830400" />
+		<layer id="1951" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 128" offset="620859592" size="9830400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -34156,7 +30131,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2409" name="Convert_449294" type="Convert" version="opset1">
+		<layer id="1952" name="Convert_176751" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -34173,8 +30148,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2410" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="605024452" size="76800" />
+		<layer id="1953" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 1" offset="630689992" size="76800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -34183,7 +30158,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2411" name="Convert_449296" type="Convert" version="opset1">
+		<layer id="1954" name="Convert_176753" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -34200,7 +30175,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2412" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="1955" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -34222,8 +30197,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2413" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="605101252" size="307200" />
+		<layer id="1956" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="630766792" size="307200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -34232,7 +30207,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2414" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="1957" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -34254,7 +30229,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2415" name="Constant_449301" type="Const" version="opset1">
+		<layer id="1958" name="Constant_176758" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="139492128" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -34262,7 +30237,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2416" name="Reshape_449302" type="Reshape" version="opset1">
+		<layer id="1959" name="Reshape_176759" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -34281,7 +30256,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2417" name="self.model.gpt_neox.layers.10.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="1960" name="self.model.gpt_neox.layers.12.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -34296,7 +30271,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2418" name="__module.model.gpt_neox.layers.10.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1961" name="__module.model.gpt_neox.layers.12.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34317,8 +30292,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2419" name="Constant_325293" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="605408452" size="30720" />
+		<layer id="1962" name="Constant_37001" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="631073992" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -34327,7 +30302,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2420" name="__module.model.gpt_neox.layers.10.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1963" name="__module.model.gpt_neox.layers.12.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34342,14 +30317,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1812,qkv.41">
+				<port id="2" precision="FP32" names="1735,qkv.49">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2421" name="__module.model.gpt_neox.layers.10.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="1964" name="__module.model.gpt_neox.layers.12.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="139522864" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -34357,7 +30332,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2422" name="__module.model.gpt_neox.layers.10.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="1965" name="__module.model.gpt_neox.layers.12.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -34370,7 +30345,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1816,qkv.43">
+				<port id="2" precision="FP32" names="1739,qkv.51">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -34378,32 +30353,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2423" name="Constant_297893" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1966" name="Constant_8275" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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 		</layer>
-		<layer id="2424" name="Constant_297896" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1967" name="Constant_8277" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2425" name="Constant_297899" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1968" name="Constant_8279" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2426" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1969" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -34412,17 +30386,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1817">
+				<port id="5" precision="FP32" names="1740">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -34430,15 +30407,15 @@
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 			</output>
 		</layer>
-		<layer id="2427" name="Constant_6032" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="1970" name="Constant_8288" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="1818">
+				<port id="0" precision="I64" names="1741">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2428" name="__module.model.gpt_neox.layers.10.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="1971" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -34451,7 +30428,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1819,query.61">
+				<port id="2" precision="FP32" names="1742,query.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -34459,32 +30436,31 @@
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 			</output>
 		</layer>
-		<layer id="2429" name="Constant_297905" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1972" name="Constant_8329" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2430" name="Constant_297908" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1973" name="Constant_8331" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2431" name="Constant_297911" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1974" name="Constant_8333" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2432" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1975" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -34493,17 +30469,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1826,q.21">
+				<port id="5" precision="FP32" names="1749,q.25">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -34511,157 +30490,152 @@
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 			</output>
 		</layer>
-		<layer id="2433" name="self.model.gpt_neox.layers.10.attention.rotary_emb.cos_cached" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.10.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="1976" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="2434" name="__module.model.gpt_neox.layers.10.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1755">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2435" name="Constant_297917" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="1977" name="Constant_8487" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="1978" name="Constant_8489" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="1979" name="Constant_8491" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1980" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_2" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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+					<dim>80</dim>
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+					<dim>1</dim>
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
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+				<port id="5" precision="FP32" names="1765,x2.49">
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 					<dim>32</dim>
-					<dim>80</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1981" name="Constant_37002" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
-		<layer id="2441" name="Constant_338821" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2442" name="Gather_338822" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1982" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="1830">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1766">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2443" name="Constant_432898" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="2444" name="Constant_432891" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="1983" name="Constant_8384" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2445" name="Constant_432893" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="1984" name="Constant_8428" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2446" name="Constant_432895" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="1985" name="Constant_8430" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2447" name="Concat_432896" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="1986" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -34672,42 +30646,62 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1760">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2448" name="Broadcast_432899" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="1987" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="1768">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2449" name="ReadValue_417290" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.10.keypresent.10.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="1988" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.10.key">
+				<port id="2" precision="FP32" names="1769">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -34715,14 +30709,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2450" name="Constant_401950" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2451" name="Gather_401951" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="1989" name="__module.model.gpt_neox.layers.12.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -34730,13 +30718,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="1770,1788">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -34744,99 +30734,85 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2452" name="ShapeOf_338824" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="1990" name="ReadValue_49750" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.12.keypresent.12.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="past_key_values.12.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2453" name="Constant_338825" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2454" name="Constant_338826" type="Const" version="opset1">
+		<layer id="1991" name="Constant_47401" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2455" name="Gather_338827" type="Gather" version="opset8">
+		<layer id="1992" name="Gather_47402" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="1832" />
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="2456" name="Constant_337684" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1993" name="Constant_8293" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="1994" name="Constant_8295" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2458" name="__module.model.gpt_neox.layers.10.attention/aten::add_/Add" type="Add" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
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-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64" names="1831,1835,1836,seq_len.41">
-					<dim>1</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="2459" name="__module.model.gpt_neox.layers.10.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="1995" name="Constant_8297" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2460" name="__module.model.gpt_neox.layers.10.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="1996" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -34847,77 +30823,41 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="1839,1842,cos.41">
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-					<dim>80</dim>
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-		</layer>
-		<layer id="2461" name="Constant_38287" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
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-		</layer>
-		<layer id="2462" name="__module.model.gpt_neox.layers.10.attention/aten::index/Gather" type="Gather" version="opset8">
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="1845">
+				<port id="5" precision="FP32" names="1743">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2463" name="__module.model.gpt_neox.layers.10.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
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-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="1997" name="Constant_8306" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="2" precision="FP32" names="1846,cos.43">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64" names="1744">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2464" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="1998" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1850">
+				<port id="2" precision="FP32" names="1745,key.49">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -34925,24 +30865,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2465" name="Constant_297928" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="1999" name="Constant_8349" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2466" name="Constant_297927" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="2000" name="Constant_8351" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2467" name="__module.model.gpt_neox.layers.10.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2001" name="Constant_8353" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2002" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -34950,119 +30897,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2468" name="__module.model.gpt_neox.layers.10.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="2469" name="__module.model.gpt_neox.layers.10.attention/aten::size/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="1851,1856" />
-			</output>
-		</layer>
-		<layer id="2470" name="__module.model.gpt_neox.layers.10.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2471" name="__module.model.gpt_neox.layers.10.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="1853,1854,1858,1859" />
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-		</layer>
-		<layer id="2472" name="Constant_337686" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="1751,k.25">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2473" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="2003" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1771">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2474" name="Constant_297926" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2004" name="Constant_8630" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2475" name="ScatterUpdate_297929" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="2476" name="Constant_297932" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="2005" name="Constant_8632" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2477" name="Constant_297935" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2006" name="Constant_8634" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2478" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2007" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -35071,17 +30977,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1860,x2.41">
+				<port id="5" precision="FP32" names="1781,x2.51">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -35089,8 +30998,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2479" name="Constant_325294" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="2008" name="Constant_37003" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -35100,7 +31009,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2480" name="__module.model.gpt_neox.layers.10.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="2009" name="__module.model.gpt_neox.layers.12.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35117,7 +31026,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1861">
+				<port id="2" precision="FP32" names="1782">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -35125,24 +31034,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2481" name="Constant_297980" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2010" name="Constant_8527" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2482" name="Constant_297985" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2011" name="Constant_8571" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2012" name="Constant_8573" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2483" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2013" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -35151,17 +31067,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1855">
+				<port id="5" precision="FP32" names="1776">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -35169,7 +31088,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2484" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="2014" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35186,7 +31105,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1863">
+				<port id="2" precision="FP32" names="1784">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -35194,101 +31113,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2485" name="self.model.gpt_neox.layers.10.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.10.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2486" name="__module.model.gpt_neox.layers.10.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2487" name="__module.model.gpt_neox.layers.10.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2488" name="__module.model.gpt_neox.layers.10.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="1840,1843,sin.41">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2489" name="Constant_38290" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="2490" name="__module.model.gpt_neox.layers.10.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2015" name="__module.model.gpt_neox.layers.12.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="1848">
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2491" name="__module.model.gpt_neox.layers.10.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1849,sin.43">
+				<port id="2" precision="FP32" names="1785">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2492" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2016" name="__module.model.gpt_neox.layers.12.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35299,13 +31149,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1864">
+				<port id="2" precision="FP32" names="1786,1790">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -35313,8 +31163,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2493" name="__module.model.gpt_neox.layers.10.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2017" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -35330,7 +31180,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1865,1883,1893,query.63,query.65">
+				<port id="2" precision="FP32" names="present.12.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -35338,28 +31188,47 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2494" name="Constant_6046" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
-			<output>
-				<port id="0" precision="I64" names="1821">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2495" name="__module.model.gpt_neox.layers.10.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2018" name="ReadValue_49752" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.12.valuepresent.12.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.12.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2019" name="Constant_47404" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2020" name="Gather_47405" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1822,key.61">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -35367,51 +31236,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2496" name="Constant_298031" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2021" name="Constant_8311" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2497" name="Constant_298034" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="2022" name="Constant_8313" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2498" name="Constant_298037" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2023" name="Constant_8315" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2499" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2024" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="1746">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2025" name="Constant_8324" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1747">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2026" name="__module.model.gpt_neox.layers.12.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1828,k.21">
+				<port id="2" precision="FP32" names="1748">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -35419,8 +31319,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2500" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2027" name="__module.model.gpt_neox.layers.12.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -35430,13 +31330,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1866">
+				<port id="2" precision="FP32" names="present.12.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -35444,23 +31344,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2501" name="Constant_298041" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2502" name="Constant_298040" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="2028" name="Constant_8706" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2503" name="__module.model.gpt_neox.layers.10.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
+		<layer id="2029" name="ShapeOf_39075" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -35476,261 +31368,168 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2504" name="__module.model.gpt_neox.layers.10.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="2030" name="Constant_39076" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="2505" name="__module.model.gpt_neox.layers.10.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="1867,1872" />
 			</output>
 		</layer>
-		<layer id="2506" name="__module.model.gpt_neox.layers.10.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="2031" name="Constant_39077" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="2507" name="__module.model.gpt_neox.layers.10.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
 				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="1869,1870,1874,1875" />
 			</output>
 		</layer>
-		<layer id="2508" name="Constant_337688" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
+		<layer id="2032" name="Gather_39078" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2509" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2510" name="Constant_298039" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2511" name="ScatterUpdate_298042" type="ScatterUpdate" version="opset3">
+		<layer id="2033" name="ShapeOf_39079" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2512" name="Constant_298045" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="2034" name="Constant_39080" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2513" name="Constant_298048" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2035" name="Constant_39081" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="2514" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2036" name="Gather_39082" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1876,x2.43">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2515" name="Constant_325295" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2516" name="__module.model.gpt_neox.layers.10.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2037" name="Add_39083" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1877">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="2517" name="Constant_298093" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64" names="1795">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2518" name="Constant_298098" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2038" name="Constant_8709" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2519" name="__module.model.gpt_neox.layers.10.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2039" name="__module.model.gpt_neox.layers.12.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="1871">
+				<port id="5" precision="FP32" names="1799">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2520" name="__module.model.gpt_neox.layers.10.attention/aten::cat/Concat_2" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="2040" name="__module.model.gpt_neox.layers.12.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="1879">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="2521" name="__module.model.gpt_neox.layers.10.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1880">
+				<port id="4" precision="FP32" names="1800,attn_output.97">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -35738,8 +31537,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2522" name="__module.model.gpt_neox.layers.10.attention/aten::add/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2041" name="__module.model.gpt_neox.layers.12.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2042" name="__module.model.gpt_neox.layers.12.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -35747,24264 +31553,1053 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1881,1885">
+				<port id="2" precision="FP32" names="1801">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2523" name="__module.model.gpt_neox.layers.10.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="2043" name="Constant_40547" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2044" name="__module.model.gpt_neox.layers.12.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
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 		</layer>
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 				<port id="0" precision="U4">
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 			<output>
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 					<dim>128</dim>
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 		</layer>
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 		</layer>
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 		</layer>
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 				<port id="1" precision="FP16">
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 			<output>
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 					<dim>128</dim>
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+		<layer id="2108" name="Constant_176769" type="Const" version="opset1">
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@@ -60014,27 +32609,27 @@
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@@ -60043,7 +32638,7 @@
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@@ -60051,911 +32646,979 @@
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+		<layer id="2112" name="Constant_37009" type="Const" version="opset1">
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 		</layer>
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-			<data special_zero="false" />
+		<layer id="2165" name="__module.model.gpt_neox.layers.13.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
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-			<data destination_type="f32" />
+		<layer id="2166" name="__module.model.gpt_neox.layers.13.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2167" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_4" type="Concat" version="opset1">
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 			</input>
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+				<port id="2" precision="FP32" names="present.13.key">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2168" name="ReadValue_49756" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.13.valuepresent.13.value" variable_type="f32" variable_shape="?,32,?,80" />
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+					<dim>80</dim>
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="past_key_values.13.value">
 					<dim>-1</dim>
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+		<layer id="2169" name="Constant_47410" type="Const" version="opset1">
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+				<port id="0" precision="I64" />
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+		<layer id="2170" name="Gather_47411" type="Gather" version="opset8">
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 		</layer>
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+		<layer id="2171" name="Constant_8941" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="2172" name="Constant_8943" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2173" name="Constant_8945" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2174" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -60964,17 +33627,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1858">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -60982,15 +33648,15 @@
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 			</output>
 		</layer>
-		<layer id="4291" name="Constant_10680" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="2175" name="Constant_8954" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
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+				<port id="0" precision="I64" names="1859">
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 		</layer>
-		<layer id="4292" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2176" name="__module.model.gpt_neox.layers.13.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -61003,7 +33669,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3011,query.109">
+				<port id="2" precision="FP32" names="1860">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -61011,32 +33677,8 @@
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 			</output>
 		</layer>
-		<layer id="4293" name="Constant_300713" type="Const" version="opset1">
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-		<layer id="4294" name="Constant_300716" type="Const" version="opset1">
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-		<layer id="4295" name="Constant_300719" type="Const" version="opset1">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2177" name="__module.model.gpt_neox.layers.13.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -61044,35 +33686,23 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
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-			</input>
-			<output>
-				<port id="4" precision="FP32" names="3018,q.37">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		</layer>
-		<layer id="4297" name="self.model.gpt_neox.layers.18.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="139523024" size="655360" />
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.18.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="present.13.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4298" name="__module.model.gpt_neox.layers.18.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="2178" name="Constant_9336" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -61080,65 +33710,60 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4299" name="Constant_300725" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="2179" name="ShapeOf_39148" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4300" name="Constant_300728" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="2180" name="Constant_39149" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4301" name="Constant_300731" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2181" name="Constant_39150" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4302" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2182" name="Gather_39151" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4303" name="ShapeOf_339547" type="ShapeOf" version="opset3">
+		<layer id="2183" name="ShapeOf_39152" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
@@ -61148,21 +33773,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4304" name="Constant_341024" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2184" name="Constant_39153" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4305" name="Constant_339549" type="Const" version="opset1">
+		<layer id="2185" name="Constant_39154" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4306" name="Gather_339550" type="Gather" version="opset8">
+		<layer id="2186" name="Gather_39155" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -61174,46 +33799,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3022">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4307" name="Constant_433106" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4308" name="Constant_433099" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
+		<layer id="2187" name="Add_39156" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4309" name="Constant_433101" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="1907">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4310" name="Constant_433103" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="2188" name="Constant_9339" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4311" name="Concat_433104" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="2189" name="__module.model.gpt_neox.layers.13.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -61224,42 +33845,49 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1911">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4312" name="Broadcast_433107" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2190" name="__module.model.gpt_neox.layers.13.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4313" name="ReadValue_417322" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.18.keypresent.18.key" variable_type="f32" variable_shape="?,32,?,80" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.18.key">
+				<port id="4" precision="FP32" names="1912,attn_output.105">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -61267,14 +33895,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4314" name="Constant_401998" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="2191" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4315" name="Gather_401999" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2192" name="__module.model.gpt_neox.layers.13.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -61283,981 +33912,1239 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
-					<dim>-1</dim>
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="1913">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4316" name="ShapeOf_339552" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2193" name="Constant_40548" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2194" name="__module.model.gpt_neox.layers.13.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4317" name="Constant_339553" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="1916">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4318" name="Constant_339554" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="2195" name="self.model.gpt_neox.layers.13.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="672069832" size="3276800" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4319" name="Gather_339555" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2196" name="Convert_177114" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3024" />
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4320" name="Constant_337764" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2197" name="self.model.gpt_neox.layers.13.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="675346632" size="25600" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4321" name="Reshape_340941" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="2198" name="Convert_177116" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4322" name="__module.model.gpt_neox.layers.18.attention/aten::add_/Add" type="Add" version="opset1">
+		<layer id="2199" name="self.model.gpt_neox.layers.13.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="3023,3027,3028,seq_len.73">
-					<dim>1</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2200" name="self.model.gpt_neox.layers.13.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="675372232" size="102400" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2201" name="self.model.gpt_neox.layers.13.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
+			</output>
+		</layer>
+		<layer id="2202" name="Constant_177121" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2203" name="Reshape_177122" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4325" name="Constant_38335" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="2204" name="self.model.gpt_neox.layers.13.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
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 			<output>
-				<port id="0" precision="I32" />
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="2205" name="__module.model.gpt_neox.layers.13.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 				<port id="0" precision="FP32">
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-					<dim>80</dim>
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-				<port id="1" precision="I32">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>2560</dim>
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+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3037">
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 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
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-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2258" name="Constant_176780" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-				<port id="3" precision="I32">
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+			</output>
+		</layer>
+		<layer id="2260" name="self.model.gpt_neox.layers.14.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<port id="0" precision="FP16">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="2261" name="__module.model.gpt_neox.layers.14.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 		</layer>
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-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2262" name="Constant_37017" type="Const" version="opset1">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2263" name="__module.model.gpt_neox.layers.14.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 		</layer>
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+		<layer id="2264" name="__module.model.gpt_neox.layers.14.attention/prim::ListConstruct" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2265" name="__module.model.gpt_neox.layers.14.attention/aten::view/Reshape" type="Reshape" version="opset1">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I64">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1963,qkv.59">
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 		</layer>
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+		<layer id="2266" name="Constant_9535" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2267" name="Constant_9537" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="2268" name="Constant_9539" type="Const" version="opset1">
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 			</output>
 		</layer>
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+		<layer id="2269" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>240</dim>
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 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="1964">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4384" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_2" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="2270" name="Constant_9548" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="1965">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2271" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1966,query.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62265,33 +35152,31 @@
 				</port>
 			</output>
 		</layer>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+		<layer id="2272" name="Constant_9589" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="2273" name="Constant_9591" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="2274" name="Constant_9593" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4386" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2275" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62299,15 +35184,21 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3073,3077">
+				<port id="5" precision="FP32" names="1973,q.29">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62315,8 +35206,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4387" name="__module.model.gpt_neox.layers.18.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="2276" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -62326,13 +35217,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.18.key">
+				<port id="2" precision="FP32" names="1979">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -62340,41 +35231,37 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4388" name="Constant_433119" type="Const" version="opset1">
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-		<layer id="4389" name="Constant_433112" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="2277" name="Constant_9747" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4390" name="Constant_433114" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2278" name="Constant_9749" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4391" name="Constant_433116" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="2279" name="Constant_9751" type="Const" version="opset1">
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@@ -62385,152 +35272,127 @@
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 					<dim>32</dim>
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+		<layer id="2281" name="Constant_37018" type="Const" version="opset1">
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 		</layer>
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 		</layer>
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>32</dim>
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@@ -62538,8 +35400,8 @@
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 		</layer>
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+		<layer id="2288" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
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 			<input>
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@@ -62549,13 +35411,13 @@
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 					<dim>-1</dim>
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 			<output>
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 					<dim>32</dim>
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@@ -62563,35 +35425,8 @@
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 				<port id="0" precision="FP32">
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@@ -62599,273 +35434,184 @@
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 					<dim>80</dim>
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+		<layer id="2290" name="ReadValue_49758" type="ReadValue" version="opset6">
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+				<port id="0" precision="I64" names="1968">
+					<dim>4</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2298" name="__module.model.gpt_neox.layers.14.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
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-					<dim>1</dim>
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-					<dim>2048</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="3095">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1969,key.57">
 					<dim>-1</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
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-		<layer id="4427" name="Constant_301040" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4428" name="Constant_301041" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2299" name="Constant_9609" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4429" name="Constant_301037" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="2300" name="Constant_9611" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4430" name="Constant_301036" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2301" name="Constant_9613" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4431" name="ScatterUpdate_301042" type="ScatterUpdate" version="opset3">
+		<layer id="2302" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -62873,186 +35619,168 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4432" name="Constant_301045" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="1975,k.29">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4433" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2303" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="3096,3097">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="1995">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4434" name="__module.model.gpt_neox.layers.18.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4435" name="__module.model.gpt_neox.layers.18.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="145028188" size="4" />
+		<layer id="2304" name="Constant_9890" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="3084" />
-			</output>
-		</layer>
-		<layer id="4436" name="__module.model.gpt_neox.layers.18.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-			</input>
+			</output>
+		</layer>
+		<layer id="2305" name="Constant_9892" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
-				<port id="3" precision="FP32" names="3098,causal_mask.73">
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2306" name="Constant_9894" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4437" name="Add_316284" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2307" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
+				<port id="3" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4438" name="ShapeOf_316285" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2005,x2.59">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4439" name="Constant_339634" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2308" name="Constant_37019" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4440" name="Constant_339635" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4441" name="Gather_339636" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2309" name="__module.model.gpt_neox.layers.14.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3082">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2006">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4442" name="Constant_268141" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2310" name="Constant_9787" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4443" name="Constant_268143" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2311" name="Constant_9831" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4444" name="Constant_268145" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2312" name="Constant_9833" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4445" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="2313" name="__module.model.gpt_neox.layers.14.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -63063,53 +35791,71 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="3099">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2000">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4446" name="Maximum_316286" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2314" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2008">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4447" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2315" name="__module.model.gpt_neox.layers.14.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3101">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2009">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4448" name="__module.model.gpt_neox.layers.18.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="2316" name="__module.model.gpt_neox.layers.14.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -63123,21 +35869,34 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2010,2014">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+			</output>
+		</layer>
+		<layer id="2317" name="__module.model.gpt_neox.layers.14.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3102,3103,sdpa_result.37,tensor.73">
+				<port id="2" precision="FP32" names="present.14.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -63145,683 +35904,535 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4449" name="Constant_11149" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
-			<output>
-				<port id="0" precision="I64" names="3104">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4450" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2318" name="ReadValue_49760" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.14.valuepresent.14.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3105">
-					<dim>-1</dim>
+				<port id="1" precision="FP32" names="past_key_values.14.value">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4451" name="__module.model.gpt_neox.layers.18.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
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-					<dim>2560</dim>
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 				</port>
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-					<dim>2560</dim>
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 			<output>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2340" name="__module.model.gpt_neox.layers.14.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 			<input>
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 			</input>
 			<output>
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 			</output>
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-			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
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-					<dim>10240</dim>
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 			<output>
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 		</layer>
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-			<data approximation_mode="ERF" />
+		<layer id="2343" name="Constant_40549" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
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+		</layer>
+		<layer id="2344" name="__module.model.gpt_neox.layers.14.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
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+					<dim>80</dim>
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 			<output>
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 			</output>
 		</layer>
-		<layer id="4486" name="Convert_449679" type="Convert" version="opset1">
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 			<input>
 				<port id="0" precision="U4">
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 					<dim>2560</dim>
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 		</layer>
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-			<data element_type="u4" shape="2560, 80, 1" offset="1077201092" size="102400" />
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 					<dim>2560</dim>
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 		</layer>
-		<layer id="4488" name="Convert_449681" type="Convert" version="opset1">
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 			<input>
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 					<dim>2560</dim>
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 		</layer>
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+		<layer id="2349" name="self.model.gpt_neox.layers.14.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
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 				<port id="1" precision="FP16">
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 			<output>
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 					<dim>2560</dim>
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-			<data element_type="f16" shape="2560, 80, 1" offset="1077303492" size="409600" />
+		<layer id="2350" name="self.model.gpt_neox.layers.14.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="716337352" size="102400" />
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 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
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 		</layer>
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+		<layer id="2351" name="self.model.gpt_neox.layers.14.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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 			<output>
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 					<dim>2560</dim>
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 					<dim>128</dim>
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 		</layer>
-		<layer id="4492" name="Constant_449686" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="2352" name="Constant_177132" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
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 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="4493" name="Reshape_449687" type="Reshape" version="opset1">
+		<layer id="2353" name="Reshape_177133" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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 				<port id="1" precision="I64">
@@ -63831,36 +36442,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 		</layer>
-		<layer id="4494" name="self.model.gpt_neox.layers.18.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2354" name="self.model.gpt_neox.layers.14.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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 			<output>
 				<port id="1" precision="FP32">
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 		</layer>
-		<layer id="4495" name="__module.model.gpt_neox.layers.18.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2355" name="__module.model.gpt_neox.layers.14.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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 			<output>
@@ -63871,8 +36482,8 @@
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 		</layer>
-		<layer id="4496" name="Constant_325380" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1077713092" size="10240" />
+		<layer id="2356" name="Constant_37020" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="716439752" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63881,7 +36492,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4497" name="__module.model.gpt_neox.layers.18.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2357" name="__module.model.gpt_neox.layers.14.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63896,14 +36507,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3132,input.77">
+				<port id="2" precision="FP32" names="2031,2033,input.57">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 		</layer>
-		<layer id="4498" name="__module.model.gpt_neox.layers.18/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2358" name="__module.model.gpt_neox.layers.14/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63918,14 +36529,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3134,3136,hidden_states.39">
+				<port id="2" precision="FP32" names="2037,attn_output.119">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="4499" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2359" name="__module.model.gpt_neox.layers.14.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -63933,7 +36544,7 @@
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 			</output>
 		</layer>
-		<layer id="4500" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2360" name="__module.model.gpt_neox.layers.14.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63953,8 +36564,8 @@
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 			</output>
 		</layer>
-		<layer id="4501" name="Constant_325381" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1077723332" size="10240" />
+		<layer id="2361" name="Constant_37021" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="716449992" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63963,7 +36574,7 @@
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 			</output>
 		</layer>
-		<layer id="4502" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2362" name="__module.model.gpt_neox.layers.14.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -63985,8 +36596,8 @@
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 		</layer>
-		<layer id="4503" name="Constant_325382" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1077733572" size="10240" />
+		<layer id="2363" name="Constant_37022" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="716460232" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -63995,7 +36606,7 @@
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 			</output>
 		</layer>
-		<layer id="4504" name="__module.model.gpt_neox.layers.19.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2364" name="__module.model.gpt_neox.layers.14.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64010,134 +36621,134 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3146">
+				<port id="2" precision="FP32" names="2041">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
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 		</layer>
-		<layer id="4505" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="1077743812" size="9830400" />
+		<layer id="2365" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="716470472" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
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+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
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 		</layer>
-		<layer id="4506" name="Convert_449690" type="Convert" version="opset1">
+		<layer id="2366" name="Convert_176259" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
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+					<dim>10240</dim>
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 					<dim>128</dim>
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 			<output>
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 					<dim>128</dim>
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 			</output>
 		</layer>
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-			<data element_type="u4" shape="7680, 20, 1" offset="1087574212" size="76800" />
+		<layer id="2367" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="729577672" size="102400" />
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 			</output>
 		</layer>
-		<layer id="4508" name="Convert_449692" type="Convert" version="opset1">
+		<layer id="2368" name="Convert_176261" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
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 				<port id="1" precision="FP16">
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 			</output>
 		</layer>
-		<layer id="4509" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2369" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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 				<port id="1" precision="FP16">
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+					<dim>10240</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
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+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="7680, 20, 1" offset="1087651012" size="307200" />
+		<layer id="2370" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="729680072" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4511" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2371" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
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+					<dim>10240</dim>
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4512" name="Constant_449697" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="139492128" size="16" />
+		<layer id="2372" name="Constant_176266" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4513" name="Reshape_449698" type="Reshape" version="opset1">
+		<layer id="2373" name="Reshape_176267" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
@@ -64147,27 +36758,30 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4514" name="self.model.gpt_neox.layers.19.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2374" name="__module.model.gpt_neox.layers.14.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4515" name="__module.model.gpt_neox.layers.19.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2375" name="__module.model.gpt_neox.layers.14.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -64176,7 +36790,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -64184,756 +36798,743 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4516" name="Constant_325383" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1087958212" size="30720" />
+		<layer id="2376" name="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="730089672" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.14.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2377" name="__module.model.gpt_neox.layers.14.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4517" name="__module.model.gpt_neox.layers.19.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2378" name="__module.model.gpt_neox.layers.14.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3153,qkv.77">
+				<port id="2" precision="FP32" names="2046">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4518" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4519" name="__module.model.gpt_neox.layers.19.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2379" name="__module.model.gpt_neox.layers.14.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3157,qkv.79">
+				<port id="1" precision="FP32" names="2047">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-					<dim>240</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4520" name="Constant_301052" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2380" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="730110152" size="13107200" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4521" name="Constant_301055" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="2381" name="Convert_176269" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>128</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4522" name="Constant_301058" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2382" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2383" name="Convert_176271" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
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-					<dim>-1</dim>
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-					<dim>240</dim>
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+					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
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+					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="2384" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>128</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
 					<dim>80</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4524" name="Constant_11261" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="2385" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="743319752" size="409600" />
 			<output>
-				<port id="0" precision="I64" names="3159">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4525" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="2386" name="self.model.gpt_neox.layers.14.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
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 			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="0" precision="FP16">
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 					<dim>80</dim>
+					<dim>128</dim>
 				</port>
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+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
+				<port id="2" precision="FP16">
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 					<dim>80</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2387" name="Constant_176276" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
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 		</layer>
-		<layer id="4527" name="Constant_301067" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="2388" name="Reshape_176277" type="Reshape" version="opset1">
+			<data special_zero="false" />
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+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>128</dim>
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+				<port id="1" precision="I64">
+					<dim>2</dim>
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+			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4528" name="Constant_301070" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2389" name="__module.model.gpt_neox.layers.14.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
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+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>10240</dim>
+				</port>
+			</input>
 			<output>
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+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2390" name="__module.model.gpt_neox.layers.14.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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-				<port id="2" precision="I64">
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+					<dim>10240</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
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-			<data auto_broadcast="numpy" />
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+		<layer id="2412" name="Constant_37025" type="Const" version="opset1">
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-			<data output_type="i64" />
+		<layer id="2413" name="__module.model.gpt_neox.layers.15.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>-1</dim>
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+					<dim>7680</dim>
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+				<port id="1" precision="FP32">
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2071,qkv.61">
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+					<dim>-1</dim>
+					<dim>7680</dim>
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 		</layer>
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-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="2414" name="__module.model.gpt_neox.layers.15.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522864" size="32" />
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+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="2415" name="__module.model.gpt_neox.layers.15.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32" names="2075,qkv.63">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="2416" name="Constant_10165" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4568" name="__module.model.gpt_neox.layers.19.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="2417" name="Constant_10167" type="Const" version="opset1">
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 			<output>
-				<port id="1" precision="I64" names="3194,3195,3199,3200" />
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+					<dim>1</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2418" name="Constant_10169" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="2419" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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+					<dim>240</dim>
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 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2076">
+					<dim>-1</dim>
+					<dim>-1</dim>
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+					<dim>80</dim>
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 			</output>
 		</layer>
-		<layer id="4571" name="Constant_301085" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2420" name="Constant_10178" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="2077">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4572" name="ScatterUpdate_301088" type="ScatterUpdate" version="opset3">
+		<layer id="2421" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2078,query.31">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4573" name="Constant_301091" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="2422" name="Constant_10219" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4574" name="Constant_301094" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2423" name="Constant_10221" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2424" name="Constant_10223" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4575" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2425" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -64942,78 +37543,77 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2085,q.31">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
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-		<layer id="4576" name="Constant_325384" type="Const" version="opset1">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4577" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="2426" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2091">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4578" name="Constant_301139" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2427" name="Constant_10377" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4579" name="Constant_301144" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2428" name="Constant_10379" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2429" name="Constant_10381" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4580" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2430" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65022,17 +37622,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3196">
+				<port id="5" precision="FP32" names="2101,x2.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65040,8 +37643,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4581" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="2431" name="Constant_37026" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2432" name="__module.model.gpt_neox.layers.15.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65050,51 +37664,51 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3204">
+				<port id="2" precision="FP32" names="2102">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4582" name="self.model.gpt_neox.layers.19.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="2433" name="Constant_10274" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.19.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4583" name="__module.model.gpt_neox.layers.19.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2434" name="Constant_10318" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4584" name="__module.model.gpt_neox.layers.19.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2435" name="Constant_10320" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4585" name="__module.model.gpt_neox.layers.19.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2436" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -65106,60 +37720,70 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3181,3184,sin.77">
+				<port id="5" precision="FP32" names="2096">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4586" name="Constant_38344" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4587" name="__module.model.gpt_neox.layers.19.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2437" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3189">
+				<port id="2" precision="FP32" names="2104">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4588" name="__module.model.gpt_neox.layers.19.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="2438" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3190,sin.79">
+				<port id="2" precision="FP32" names="2105">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4589" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2439" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65170,13 +37794,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3205">
+				<port id="2" precision="FP32" names="2106,2124">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65184,24 +37808,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4590" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2440" name="ReadValue_49762" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.15.keypresent.15.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3206,3224,3234,query.117,query.119">
+				<port id="1" precision="FP32" names="past_key_values.15.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65209,28 +37827,28 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4591" name="Constant_11275" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="2441" name="Constant_47419" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3162">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4592" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2442" name="Gather_47420" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3163,key.115">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65238,76 +37856,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4593" name="Constant_301190" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2443" name="Constant_10183" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4594" name="Constant_301193" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="2444" name="Constant_10185" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4595" name="Constant_301196" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2445" name="Constant_10187" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4596" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2446" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3169,k.39">
+				<port id="5" precision="FP32" names="2079">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4597" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2447" name="Constant_10196" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2080">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2448" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3207">
+				<port id="2" precision="FP32" names="2081,key.61">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65315,24 +37939,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4598" name="Constant_301200" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2449" name="Constant_10239" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4599" name="Constant_301199" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="2450" name="Constant_10241" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4600" name="__module.model.gpt_neox.layers.19.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2451" name="Constant_10243" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2452" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65340,119 +37971,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4601" name="__module.model.gpt_neox.layers.19.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4602" name="__module.model.gpt_neox.layers.19.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3208,3213" />
-			</output>
-		</layer>
-		<layer id="4603" name="__module.model.gpt_neox.layers.19.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4604" name="__module.model.gpt_neox.layers.19.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="3210,3211,3215,3216" />
-			</output>
-		</layer>
-		<layer id="4605" name="Constant_337778" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2087,k.31">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4606" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="2453" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2107">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4607" name="Constant_301198" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2454" name="Constant_10520" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4608" name="ScatterUpdate_301201" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="4609" name="Constant_301204" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="2455" name="Constant_10522" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4610" name="Constant_301207" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2456" name="Constant_10524" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4611" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2457" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65461,17 +38051,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3217,x2.79">
+				<port id="5" precision="FP32" names="2117,x2.63">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65479,8 +38072,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4612" name="Constant_325385" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="2458" name="Constant_37027" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -65490,7 +38083,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4613" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2459" name="__module.model.gpt_neox.layers.15.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65507,7 +38100,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3218">
+				<port id="2" precision="FP32" names="2118">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65515,24 +38108,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4614" name="Constant_301252" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2460" name="Constant_10417" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4615" name="Constant_301257" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2461" name="Constant_10461" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2462" name="Constant_10463" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4616" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2463" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65541,17 +38141,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3212">
+				<port id="5" precision="FP32" names="2112">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65559,7 +38162,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4617" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2464" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65576,7 +38179,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3220">
+				<port id="2" precision="FP32" names="2120">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65584,7 +38187,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4618" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2465" name="__module.model.gpt_neox.layers.15.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65601,7 +38204,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3221">
+				<port id="2" precision="FP32" names="2121">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65609,7 +38212,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4619" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2466" name="__module.model.gpt_neox.layers.15.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65626,7 +38229,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3222,3226">
+				<port id="2" precision="FP32" names="2122,2126">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65634,7 +38237,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4620" name="__module.model.gpt_neox.layers.19.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="2467" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65651,7 +38254,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.19.key">
+				<port id="2" precision="FP32" names="present.15.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65659,77 +38262,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4621" name="Constant_433145" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4622" name="Constant_433138" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4623" name="Constant_433140" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4624" name="Constant_433142" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4625" name="Concat_433143" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4626" name="Broadcast_433146" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4627" name="ReadValue_417328" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.19.valuepresent.19.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2468" name="ReadValue_49764" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.15.valuepresent.15.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65739,7 +38273,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.19.value">
+				<port id="1" precision="FP32" names="past_key_values.15.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65747,13 +38281,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4628" name="Constant_402007" type="Const" version="opset1">
+		<layer id="2469" name="Constant_47422" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4629" name="Gather_402008" type="Gather" version="opset8">
+		<layer id="2470" name="Gather_47423" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65776,32 +38310,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4630" name="Constant_301302" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="2471" name="Constant_10201" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4631" name="Constant_301305" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="2472" name="Constant_10203" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4632" name="Constant_301308" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2473" name="Constant_10205" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4633" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2474" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65810,17 +38343,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3164">
+				<port id="5" precision="FP32" names="2082">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -65828,15 +38364,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4634" name="Constant_11289" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="2475" name="Constant_10214" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3165">
+				<port id="0" precision="I64" names="2083">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4635" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="2476" name="__module.model.gpt_neox.layers.15.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -65849,7 +38385,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3166">
+				<port id="2" precision="FP32" names="2084">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65857,7 +38393,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4636" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="2477" name="__module.model.gpt_neox.layers.15.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65874,7 +38410,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.19.value">
+				<port id="2" precision="FP32" names="present.15.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -65882,34 +38418,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4637" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="140833836" size="4194304" />
-			<output>
-				<port id="0" precision="BOOL" names="3243">
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-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4638" name="Constant_301312" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028140" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4639" name="Constant_301311" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="2478" name="Constant_10596" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4640" name="ShapeOf_339648" type="ShapeOf" version="opset3">
+		<layer id="2479" name="ShapeOf_39294" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -65925,263 +38442,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4641" name="Constant_339649" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+		<layer id="2480" name="Constant_39295" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4642" name="Constant_339650" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="4643" name="Gather_339651" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" />
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-		</layer>
-		<layer id="4644" name="Add_339652" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="3238" />
-			</output>
-		</layer>
-		<layer id="4645" name="ShapeOf_339719" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4646" name="Constant_339720" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4647" name="Constant_339721" type="Const" version="opset1">
+		<layer id="2481" name="Constant_39296" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4648" name="Gather_339722" type="Gather" version="opset8">
+		<layer id="2482" name="Gather_39297" type="Gather" version="opset8">
 			<data batch_dims="0" />
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-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
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-			<output>
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-		<layer id="4649" name="__module.model.gpt_neox.layers.19.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
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-		<layer id="4650" name="Constant_337780" type="Const" version="opset1">
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 			<input>
 				<port id="0" precision="I64">
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@@ -66189,121 +38465,22 @@
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-				<port id="3" precision="I32">
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+				<port id="2" precision="I64" />
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-			<output>
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-		<layer id="4669" name="__module.model.gpt_neox.layers.19.attention/aten::where/Select" type="Select" version="opset1">
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 					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="4671" name="ShapeOf_316357" type="ShapeOf" version="opset3">
+		<layer id="2483" name="ShapeOf_39298" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
@@ -66312,21 +38489,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4672" name="Constant_339725" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2484" name="Constant_39299" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4673" name="Constant_339726" type="Const" version="opset1">
+		<layer id="2485" name="Constant_39300" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4674" name="Gather_339727" type="Gather" version="opset8">
+		<layer id="2486" name="Gather_39301" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -66338,40 +38515,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3231">
+				<port id="3" precision="I64">
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 			</output>
 		</layer>
-		<layer id="4675" name="Constant_268151" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
+		<layer id="2487" name="Add_39302" type="Add" version="opset1">
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 				<port id="0" precision="I64">
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
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 			<output>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2488" name="Constant_10599" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<data axis="0" />
+		<layer id="2489" name="__module.model.gpt_neox.layers.15.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -66382,44 +38561,12 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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-			<input>
-				<port id="0" precision="FP32">
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+				<port id="4" precision="I64">
 					<dim>1</dim>
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-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3250">
+				<port id="5" precision="FP32" names="2135">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -66427,7 +38574,7 @@
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 			</output>
 		</layer>
-		<layer id="4681" name="__module.model.gpt_neox.layers.19.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="2490" name="__module.model.gpt_neox.layers.15.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66456,7 +38603,7 @@
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 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3251,3252,sdpa_result.39,tensor.77">
+				<port id="4" precision="FP32" names="2136,attn_output.121">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -66464,15 +38611,15 @@
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 			</output>
 		</layer>
-		<layer id="4682" name="Constant_11730" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="2491" name="__module.model.gpt_neox.layers.15.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3253">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4683" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2492" name="__module.model.gpt_neox.layers.15.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -66480,12 +38627,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3254">
+				<port id="2" precision="FP32" names="2137">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -66493,15 +38640,15 @@
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 			</output>
 		</layer>
-		<layer id="4684" name="__module.model.gpt_neox.layers.19.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="2493" name="Constant_40550" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4685" name="__module.model.gpt_neox.layers.19.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2494" name="__module.model.gpt_neox.layers.15.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66515,15 +38662,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3259">
+				<port id="2" precision="FP32" names="2140">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4686" name="self.model.gpt_neox.layers.19.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 128" offset="1087988932" size="3276800" />
+		<layer id="2495" name="self.model.gpt_neox.layers.15.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="754000072" size="3276800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -66532,7 +38679,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4687" name="Convert_449701" type="Convert" version="opset1">
+		<layer id="2496" name="Convert_177136" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -66549,8 +38696,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4688" name="self.model.gpt_neox.layers.19.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 1" offset="1091265732" size="25600" />
+		<layer id="2497" name="self.model.gpt_neox.layers.15.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="757276872" size="25600" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -66559,7 +38706,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4689" name="Convert_449703" type="Convert" version="opset1">
+		<layer id="2498" name="Convert_177138" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -66576,7 +38723,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4690" name="self.model.gpt_neox.layers.19.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2499" name="self.model.gpt_neox.layers.15.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66598,8 +38745,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4691" name="self.model.gpt_neox.layers.19.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="1091291332" size="102400" />
+		<layer id="2500" name="self.model.gpt_neox.layers.15.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="757302472" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -66608,7 +38755,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4692" name="self.model.gpt_neox.layers.19.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2501" name="self.model.gpt_neox.layers.15.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66630,15 +38777,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4693" name="Constant_449708" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="2502" name="Constant_177143" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4694" name="Reshape_449709" type="Reshape" version="opset1">
+		<layer id="2503" name="Reshape_177144" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66657,7 +38804,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4695" name="self.model.gpt_neox.layers.19.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2504" name="self.model.gpt_neox.layers.15.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -66672,7 +38819,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4696" name="__module.model.gpt_neox.layers.19.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2505" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66693,8 +38840,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4697" name="Constant_325386" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1091393732" size="10240" />
+		<layer id="2506" name="Constant_37028" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="757404872" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -66703,7 +38850,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4698" name="__module.model.gpt_neox.layers.19.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2507" name="__module.model.gpt_neox.layers.15.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66718,14 +38865,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3262,3264,input.79">
+				<port id="2" precision="FP32" names="2143,2145,input.61">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4699" name="__module.model.gpt_neox.layers.19/aten::add/Add" type="Add" version="opset1">
+		<layer id="2508" name="__module.model.gpt_neox.layers.15/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66740,14 +38887,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3268,attn_output.79">
+				<port id="2" precision="FP32" names="2149,attn_output.127">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4700" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2509" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -66755,7 +38902,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4701" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2510" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66775,8 +38922,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4702" name="Constant_325387" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1091403972" size="10240" />
+		<layer id="2511" name="Constant_37029" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="757415112" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -66785,7 +38932,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4703" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2512" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66807,8 +38954,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4704" name="Constant_325388" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1091414212" size="10240" />
+		<layer id="2513" name="Constant_37030" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="757425352" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -66817,7 +38964,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4705" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2514" name="__module.model.gpt_neox.layers.15.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66832,101 +38979,141 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3272">
+				<port id="2" precision="FP32" names="2153">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4706" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="1091424452" size="26214400" />
+		<layer id="2515" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="757435592" size="13107200" />
 			<output>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4707" name="Convert_449713" type="Convert" version="opset1">
+		<layer id="2516" name="Convert_176279" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4708" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="1117638852" size="10240" />
+		<layer id="2517" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="770542792" size="102400" />
 			<output>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4709" name="Convert_449716" type="Convert" version="opset1">
+		<layer id="2518" name="Convert_176281" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4710" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2519" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4711" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="1117649092" size="20480" />
+		<layer id="2520" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="770645192" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4712" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2521" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2522" name="Constant_176286" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2523" name="Reshape_176287" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>10240</dim>
@@ -66934,8 +39121,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4713" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2524" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -66949,7 +39139,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4714" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2525" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66970,17 +39160,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4715" name="Constant_325389" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1117669572" size="40960" />
+		<layer id="2526" name="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="771054792" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.15.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2527" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4716" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2528" name="__module.model.gpt_neox.layers.15.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -66989,20 +39193,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3277">
+				<port id="2" precision="FP32" names="2158">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4717" name="__module.model.gpt_neox.layers.19.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="2529" name="__module.model.gpt_neox.layers.15.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67012,15 +39214,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="3278">
+				<port id="1" precision="FP32" names="2159">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4718" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 128" offset="1117710532" size="13107200" />
+		<layer id="2530" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="771075272" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -67029,7 +39231,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4719" name="Convert_449723" type="Convert" version="opset1">
+		<layer id="2531" name="Convert_176289" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -67046,8 +39248,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4720" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 1" offset="1130817732" size="102400" />
+		<layer id="2532" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="784182472" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -67056,7 +39258,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4721" name="Convert_449725" type="Convert" version="opset1">
+		<layer id="2533" name="Convert_176291" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -67073,7 +39275,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4722" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2534" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67095,8 +39297,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4723" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 80, 1" offset="1130920132" size="409600" />
+		<layer id="2535" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="784284872" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -67105,7 +39307,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4724" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2536" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67127,15 +39329,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4725" name="Constant_449730" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="2537" name="Constant_176296" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4726" name="Reshape_449731" type="Reshape" version="opset1">
+		<layer id="2538" name="Reshape_176297" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67154,8 +39356,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4727" name="self.model.gpt_neox.layers.19.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2539" name="__module.model.gpt_neox.layers.15.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -67169,7 +39374,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4728" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2540" name="__module.model.gpt_neox.layers.15.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67190,17 +39395,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4729" name="Constant_325390" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1131329732" size="10240" />
+		<layer id="2541" name="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="784694472" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.15.mlp.dense_4h_to_h.bias">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4730" name="__module.model.gpt_neox.layers.19.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2542" name="__module.model.gpt_neox.layers.15.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2543" name="__module.model.gpt_neox.layers.15.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67209,20 +39428,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3281,input.81">
+				<port id="2" precision="FP32" names="2162,input.63">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4731" name="__module.model.gpt_neox.layers.19/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2544" name="__module.model.gpt_neox.layers.15/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67237,14 +39454,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3283,3285,hidden_states.41">
+				<port id="2" precision="FP32" names="2164,2166,hidden_states.67">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4732" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2545" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -67252,7 +39469,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4733" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2546" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67272,8 +39489,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4734" name="Constant_325391" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1131339972" size="10240" />
+		<layer id="2547" name="Constant_37031" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="784699592" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -67282,7 +39499,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4735" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2548" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67304,8 +39521,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4736" name="Constant_325392" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1131350212" size="10240" />
+		<layer id="2549" name="Constant_37032" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="784709832" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -67314,7 +39531,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4737" name="__module.model.gpt_neox.layers.20.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2550" name="__module.model.gpt_neox.layers.16.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -67329,15 +39546,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3295">
+				<port id="2" precision="FP32" names="2176,hidden_states.65">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4738" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="1131360452" size="9830400" />
+		<layer id="2551" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 128" offset="784720072" size="9830400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -67346,7 +39563,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4739" name="Convert_449734" type="Convert" version="opset1">
+		<layer id="2552" name="Convert_176795" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -67363,8 +39580,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4740" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="1141190852" size="76800" />
+		<layer id="2553" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 1" offset="794550472" size="76800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -67373,7 +39590,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4741" name="Convert_449736" type="Convert" version="opset1">
+		<layer id="2554" name="Convert_176797" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -67390,7 +39607,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4742" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2555" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67412,8 +39629,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4743" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="1141267652" size="307200" />
+		<layer id="2556" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="794627272" size="307200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -67422,7 +39639,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4744" name="self.model.gpt_neox.layers.20.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2557" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -67430,170 +39647,598 @@
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
-				<port id="1" precision="FP16">
-					<dim>7680</dim>
-					<dim>20</dim>
+				<port id="1" precision="FP16">
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2558" name="Constant_176802" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="139492128" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2559" name="Reshape_176803" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2560" name="self.model.gpt_neox.layers.16.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2561" name="__module.model.gpt_neox.layers.16.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2562" name="Constant_37033" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="794934472" size="30720" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2563" name="__module.model.gpt_neox.layers.16.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>7680</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2183,qkv.65">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2564" name="__module.model.gpt_neox.layers.16.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522864" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2565" name="__module.model.gpt_neox.layers.16.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2187,qkv.67">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2566" name="Constant_10795" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2567" name="Constant_10797" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2568" name="Constant_10799" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2569" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
+					<dim>1</dim>
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+			<output>
+				<port id="5" precision="FP32" names="2188">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2570" name="Constant_10808" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
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 				<port id="0" precision="I64">
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+		<layer id="2595" name="Constant_10817" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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@@ -67602,17 +40247,20 @@
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 				<port id="1" precision="I64">
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@@ -67620,15 +40268,15 @@
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 				<port id="0" precision="FP32">
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@@ -67641,7 +40289,7 @@
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 			<output>
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 					<dim>32</dim>
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@@ -67649,32 +40297,31 @@
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-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2601" name="Constant_10873" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4762" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2602" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67683,17 +40330,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3316,q.41">
+				<port id="5" precision="FP32" names="2199,k.33">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -67701,157 +40351,152 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4763" name="self.model.gpt_neox.layers.20.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="139523024" size="655360" />
-			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.20.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+		<layer id="2603" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4764" name="__module.model.gpt_neox.layers.20.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2219">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4765" name="Constant_301427" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="2604" name="Constant_11150" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4766" name="Constant_301430" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="2605" name="Constant_11152" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4767" name="Constant_301433" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2606" name="Constant_11154" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4768" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2607" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3310">
-					<dim>-1</dim>
+				<port id="5" precision="FP32" names="2229,x2.67">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4769" name="ShapeOf_339729" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4770" name="Constant_341030" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2608" name="Constant_37035" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4771" name="Constant_339731" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4772" name="Gather_339732" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2609" name="__module.model.gpt_neox.layers.16.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3320">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2230">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4773" name="Constant_433158" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="4774" name="Constant_433151" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="2610" name="Constant_11047" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4775" name="Constant_433153" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2611" name="Constant_11091" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4776" name="Constant_433155" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="2612" name="Constant_11093" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4777" name="Concat_433156" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="2613" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -67862,42 +40507,62 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2224">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4778" name="Broadcast_433159" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2614" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="2232">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4779" name="ReadValue_417334" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.20.keypresent.20.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="2615" name="__module.model.gpt_neox.layers.16.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.20.key">
+				<port id="2" precision="FP32" names="2233">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -67905,14 +40570,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4780" name="Constant_402010" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="4781" name="Gather_402011" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="2616" name="__module.model.gpt_neox.layers.16.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67920,13 +40579,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="2234,2238">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -67934,8 +40595,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4782" name="ShapeOf_339734" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2617" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -67943,90 +40604,101 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="present.16.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4783" name="Constant_339735" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+		<layer id="2618" name="ReadValue_49768" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.16.valuepresent.16.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="FP32" names="past_key_values.16.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4784" name="Constant_339736" type="Const" version="opset1">
+		<layer id="2619" name="Constant_47428" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4785" name="Gather_339737" type="Gather" version="opset8">
+		<layer id="2620" name="Gather_47429" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64" />
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3322" />
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4786" name="Constant_337784" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2621" name="Constant_10831" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4787" name="Reshape_340945" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="2622" name="Constant_10833" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4788" name="__module.model.gpt_neox.layers.20.attention/aten::add_/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64" names="3321,3325,3326,seq_len.81">
-					<dim>1</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="4789" name="__module.model.gpt_neox.layers.20.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2623" name="Constant_10835" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4790" name="__module.model.gpt_neox.layers.20.attention.rotary_emb/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2624" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -68037,61 +40709,50 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3329,3332,cos.81">
+				<port id="5" precision="FP32" names="2194">
+					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4791" name="Constant_38347" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="4792" name="__module.model.gpt_neox.layers.20.attention/aten::index/Gather" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
+		<layer id="2625" name="Constant_10844" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="3" precision="FP32" names="3335">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64" names="2195">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4793" name="__module.model.gpt_neox.layers.20.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="2626" name="__module.model.gpt_neox.layers.16.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3336,cos.83">
+				<port id="2" precision="FP32" names="2196">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4794" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2627" name="__module.model.gpt_neox.layers.16.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -68101,13 +40762,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3340">
+				<port id="2" precision="FP32" names="present.16.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -68115,23 +40776,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4795" name="Constant_301438" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4796" name="Constant_301437" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="2628" name="Constant_11226" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4797" name="__module.model.gpt_neox.layers.20.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
+		<layer id="2629" name="ShapeOf_39367" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -68147,77 +40800,115 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4798" name="__module.model.gpt_neox.layers.20.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="2630" name="Constant_39368" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2631" name="Constant_39369" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4799" name="__module.model.gpt_neox.layers.20.attention/aten::size/Gather_5" type="Gather" version="opset8">
+		<layer id="2632" name="Gather_39370" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3341,3346" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4800" name="__module.model.gpt_neox.layers.20.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="2633" name="ShapeOf_39371" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4801" name="__module.model.gpt_neox.layers.20.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="2634" name="Constant_39372" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="1" precision="I64" names="3343,3344,3348,3349" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="4802" name="Constant_337786" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="2635" name="Constant_39373" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2636" name="Gather_39374" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4803" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Unsqueeze_17" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="2637" name="Add_39375" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="2" precision="I64" names="2243">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4804" name="Constant_301436" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2638" name="Constant_11229" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4805" name="ScatterUpdate_301439" type="ScatterUpdate" version="opset3">
+		<layer id="2639" name="__module.model.gpt_neox.layers.16.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -68225,34 +40916,24 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4806" name="Constant_301442" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="4807" name="Constant_301445" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2247">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4808" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2640" name="__module.model.gpt_neox.layers.16.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -68260,1161 +40941,1239 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3350,x2.81">
+				<port id="4" precision="FP32" names="2248,attn_output.129">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4809" name="Constant_325394" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="2641" name="__module.model.gpt_neox.layers.16.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4810" name="__module.model.gpt_neox.layers.20.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2642" name="__module.model.gpt_neox.layers.16.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3351">
+				<port id="2" precision="FP32" names="2249">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="4811" name="Constant_301490" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4812" name="Constant_301495" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2643" name="Constant_40551" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4813" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2644" name="__module.model.gpt_neox.layers.16.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3345">
+				<port id="2" precision="FP32" names="2252">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4814" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</input>
+		<layer id="2645" name="self.model.gpt_neox.layers.16.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="794965192" size="3276800" />
 			<output>
-				<port id="2" precision="FP32" names="3353">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4815" name="self.model.gpt_neox.layers.20.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="2646" name="Convert_177147" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.20.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4816" name="__module.model.gpt_neox.layers.20.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="2647" name="self.model.gpt_neox.layers.16.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="798241992" size="25600" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
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 		</layer>
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@@ -69422,88 +42181,82 @@
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+		<layer id="2720" name="Constant_11438" type="Const" version="opset1">
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 		</layer>
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+		<layer id="2721" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose" type="Transpose" version="opset1">
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-				<port id="3" precision="I64">
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 			</input>
 			<output>
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-			<output>
-				<port id="0" precision="I64">
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-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2722" name="Constant_11479" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+		<layer id="2723" name="Constant_11481" type="Const" version="opset1">
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+		<layer id="2724" name="Constant_11483" type="Const" version="opset1">
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 			</output>
 		</layer>
-		<layer id="4897" name="ScatterUpdate_301744" type="ScatterUpdate" version="opset3">
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 			<input>
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 				<port id="1" precision="I64">
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@@ -69511,186 +42264,168 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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-		<layer id="4898" name="Constant_301747" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+			</input>
 			<output>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2726" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
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-					<dim>1</dim>
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-				<port id="2" precision="I64">
-					<dim>4</dim>
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+					<dim>-1</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
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 					<dim>-1</dim>
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 			</output>
 		</layer>
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+		<layer id="2727" name="Constant_11637" type="Const" version="opset1">
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+		<layer id="2728" name="Constant_11639" type="Const" version="opset1">
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-					<dim>-1</dim>
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+		<layer id="2729" name="Constant_11641" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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+		<layer id="2731" name="Constant_37042" type="Const" version="opset1">
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-		</layer>
-		<layer id="4907" name="Gather_339818" type="Gather" version="opset8">
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 			<output>
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 		</layer>
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 				<port id="0" precision="I64">
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+		<layer id="2735" name="Constant_11580" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 			<input>
-				<port id="0" precision="I64">
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -69701,53 +42436,71 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2737" name="__module.model.gpt_neox.layers.17.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2328">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data mode="numpy" />
+		<layer id="2738" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3399">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2329">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4914" name="__module.model.gpt_neox.layers.20.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="2739" name="__module.model.gpt_neox.layers.17.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69761,21 +42514,28 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2330,2348">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="2740" name="ReadValue_49770" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.17.keypresent.17.key" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3400,3401,sdpa_result.41,tensor.81">
+				<port id="1" precision="FP32" names="past_key_values.17.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -69783,15 +42543,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4915" name="Constant_12311" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="2741" name="Constant_47431" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3402">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="4916" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2742" name="Gather_47432" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -69799,983 +42558,954 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3403">
-					<dim>-1</dim>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4917" name="__module.model.gpt_neox.layers.20.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="2743" name="Constant_11443" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4918" name="__module.model.gpt_neox.layers.20.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="2744" name="Constant_11445" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2745" name="Constant_11447" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2746" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>80</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2303">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u4" shape="2560, 20, 128" offset="1141605572" size="3276800" />
+		<layer id="2747" name="Constant_11456" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="0" precision="I64" names="2304">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4920" name="Convert_449745" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="2748" name="__module.model.gpt_neox.layers.17.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="2" precision="FP32" names="2305,key.69">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u4" shape="2560, 20, 1" offset="1144882372" size="25600" />
+		<layer id="2749" name="Constant_11499" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4922" name="Convert_449747" type="Convert" version="opset1">
-			<data destination_type="f16" />
+		<layer id="2750" name="Constant_11501" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2751" name="Constant_11503" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2752" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2311,k.35">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4923" name="self.model.gpt_neox.layers.20.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2753" name="__module.model.gpt_neox.layers.17.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
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 					<dim>1</dim>
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+					<dim>80</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="2" precision="FP32" names="2331">
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+					<dim>32</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f16" shape="2560, 20, 1" offset="1144907972" size="102400" />
+		<layer id="2754" name="Constant_11780" type="Const" version="opset1">
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-				<port id="0" precision="FP16">
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-					<dim>20</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="4925" name="self.model.gpt_neox.layers.20.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
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-			<input>
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-					<dim>20</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="2755" name="Constant_11782" type="Const" version="opset1">
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 			<output>
-				<port id="2" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="4926" name="Constant_449752" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="2756" name="Constant_11784" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
-					<dim>2</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4927" name="Reshape_449753" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="2757" name="__module.model.gpt_neox.layers.17.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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+					<dim>-1</dim>
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 				<port id="1" precision="I64">
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+					<dim>1</dim>
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>2560</dim>
-					<dim>2560</dim>
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+					<dim>40</dim>
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 			</output>
 		</layer>
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-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>2560</dim>
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-			</input>
+		<layer id="2758" name="Constant_37043" type="Const" version="opset1">
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 			<output>
-				<port id="1" precision="FP32">
-					<dim>2560</dim>
-					<dim>2560</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="2759" name="__module.model.gpt_neox.layers.17.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>2560</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			<output>
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+		<layer id="2761" name="Constant_11721" type="Const" version="opset1">
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+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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+				<port id="0" precision="I64">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 			<output>
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@@ -70785,27 +43515,27 @@
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@@ -70814,7 +43544,7 @@
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@@ -70822,1130 +43552,1031 @@
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2869" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3467,k.43">
+				<port id="5" precision="FP32" names="2412">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5063" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2870" name="Constant_12068" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2413">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2871" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3505">
+				<port id="2" precision="FP32" names="2414,query.37">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -71953,24 +44584,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5064" name="Constant_301902" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2872" name="Constant_12109" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5065" name="Constant_301901" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="2873" name="Constant_12111" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5066" name="__module.model.gpt_neox.layers.21.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2874" name="Constant_12113" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2875" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -71978,119 +44616,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5067" name="__module.model.gpt_neox.layers.21.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5068" name="__module.model.gpt_neox.layers.21.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3506,3511" />
-			</output>
-		</layer>
-		<layer id="5069" name="__module.model.gpt_neox.layers.21.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5070" name="__module.model.gpt_neox.layers.21.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="3508,3509,3513,3514" />
-			</output>
-		</layer>
-		<layer id="5071" name="Constant_337798" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2421,q.37">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5072" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="2876" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2427">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5073" name="Constant_301900" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="2877" name="Constant_12267" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5074" name="ScatterUpdate_301903" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="5075" name="Constant_301906" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="2878" name="Constant_12269" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5076" name="Constant_301909" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2879" name="Constant_12271" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5077" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2880" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72099,17 +44696,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3515,x2.87">
+				<port id="5" precision="FP32" names="2437,x2.73">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72117,8 +44717,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5078" name="Constant_325405" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="2881" name="Constant_37050" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -72128,7 +44728,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5079" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="2882" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72145,7 +44745,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3516">
+				<port id="2" precision="FP32" names="2438">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72153,24 +44753,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5080" name="Constant_301954" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="2883" name="Constant_12164" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5081" name="Constant_301959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="2884" name="Constant_12208" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2885" name="Constant_12210" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5082" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="2886" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72179,17 +44786,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3510">
+				<port id="5" precision="FP32" names="2432">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72197,7 +44807,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5083" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="2887" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72214,7 +44824,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3518">
+				<port id="2" precision="FP32" names="2440">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72222,7 +44832,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5084" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="2888" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72239,7 +44849,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3519">
+				<port id="2" precision="FP32" names="2441">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72247,7 +44857,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5085" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2889" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -72264,32 +44874,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3520,3524">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5086" name="__module.model.gpt_neox.layers.21.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.21.key">
+				<port id="2" precision="FP32" names="2442,2460">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72297,77 +44882,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5087" name="Constant_433197" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="5088" name="Constant_433190" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5089" name="Constant_433192" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5090" name="Constant_433194" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5091" name="Concat_433195" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5092" name="Broadcast_433198" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
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+		<layer id="2890" name="ReadValue_49774" type="ReadValue" version="opset6">
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@@ -72377,7 +44893,7 @@
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@@ -72385,13 +44901,13 @@
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 		</layer>
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@@ -72414,32 +44930,31 @@
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+		<layer id="2895" name="Constant_12077" type="Const" version="opset1">
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+		<layer id="2896" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -72448,17 +44963,20 @@
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@@ -72466,15 +44984,15 @@
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+		<layer id="2897" name="Constant_12086" type="Const" version="opset1">
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+		<layer id="2898" name="__module.model.gpt_neox.layers.18.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -72487,32 +45005,7 @@
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -72520,86 +45013,31 @@
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 			</output>
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+		<layer id="2900" name="Constant_12131" type="Const" version="opset1">
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-		<layer id="5108" name="Constant_339832" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="2901" name="Constant_12133" type="Const" version="opset1">
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-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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-			<output>
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-		<layer id="5110" name="Add_339834" type="Add" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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 			</output>
 		</layer>
-		<layer id="5111" name="ShapeOf_339901" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="2902" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -72607,409 +45045,174 @@
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 					<dim>80</dim>
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 				<port id="2" precision="I64">
 					<dim>1</dim>
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+					<dim>1</dim>
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+		<layer id="2909" name="__module.model.gpt_neox.layers.18.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
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 		</layer>
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+		<layer id="2910" name="Constant_12307" type="Const" version="opset1">
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+		<layer id="2911" name="Constant_12351" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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 		</layer>
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+		<layer id="2912" name="Constant_12353" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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 				<port id="0" precision="I64">
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 		</layer>
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-			<data axis="0" />
+		<layer id="2913" name="__module.model.gpt_neox.layers.18.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
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 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -73020,53 +45223,71 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5145" name="Maximum_316502" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2914" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2456">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5146" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="2915" name="__module.model.gpt_neox.layers.18.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2457">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="2916" name="__module.model.gpt_neox.layers.18.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -73080,21 +45301,34 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2458,2462">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+			</output>
+		</layer>
+		<layer id="2917" name="__module.model.gpt_neox.layers.18.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3549,3550,sdpa_result.43,tensor.85">
+				<port id="2" precision="FP32" names="present.18.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -73102,683 +45336,535 @@
 				</port>
 			</output>
 		</layer>
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-		</layer>
-		<layer id="5149" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="2918" name="ReadValue_49776" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.18.valuepresent.18.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>0</dim>
 					<dim>80</dim>
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-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3552">
-					<dim>-1</dim>
+				<port id="1" precision="FP32" names="past_key_values.18.value">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="2919" name="Constant_47440" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="2920" name="Gather_47441" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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+				<port id="3" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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 				</port>
 			</output>
 		</layer>
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-					<dim>20</dim>
-					<dim>128</dim>
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 			<output>
-				<port id="1" precision="FP16">
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-					<dim>20</dim>
-					<dim>128</dim>
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 				</port>
 			</output>
 		</layer>
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 			<output>
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-					<dim>20</dim>
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 				</port>
 			</output>
 		</layer>
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-					<dim>2560</dim>
-					<dim>20</dim>
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-			</input>
+		<layer id="2923" name="Constant_12095" type="Const" version="opset1">
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 			<output>
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-					<dim>20</dim>
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 				</port>
 			</output>
 		</layer>
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-					<dim>20</dim>
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-					<dim>20</dim>
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-					<dim>20</dim>
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 		</layer>
-		<layer id="5185" name="Convert_449811" type="Convert" version="opset1">
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 				<port id="0" precision="U4">
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-			<data element_type="u4" shape="2560, 80, 1" offset="1238051012" size="102400" />
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-		<layer id="5187" name="Convert_449813" type="Convert" version="opset1">
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 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
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 			<data auto_broadcast="numpy" />
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 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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-			<data element_type="f16" shape="2560, 80, 1" offset="1238153412" size="409600" />
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+			<data element_type="f16" shape="2560, 20, 1" offset="880197832" size="102400" />
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 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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 					<dim>1</dim>
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 		</layer>
-		<layer id="5190" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2951" name="self.model.gpt_neox.layers.18.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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 				<port id="1" precision="FP16">
 					<dim>2560</dim>
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 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
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 					<dim>128</dim>
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-		<layer id="5191" name="Constant_449818" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="2952" name="Constant_177176" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
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-		<layer id="5192" name="Reshape_449819" type="Reshape" version="opset1">
+		<layer id="2953" name="Reshape_177177" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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 				<port id="1" precision="I64">
@@ -73788,36 +45874,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 		</layer>
-		<layer id="5193" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2954" name="self.model.gpt_neox.layers.18.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
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 		</layer>
-		<layer id="5194" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2955" name="__module.model.gpt_neox.layers.18.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -73828,8 +45914,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5195" name="Constant_325410" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1238563012" size="10240" />
+		<layer id="2956" name="Constant_37052" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="880300232" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -73838,7 +45924,7 @@
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 			</output>
 		</layer>
-		<layer id="5196" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2957" name="__module.model.gpt_neox.layers.18.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73853,14 +45939,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3579,input.89">
+				<port id="2" precision="FP32" names="2479,2481,input.73">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5197" name="__module.model.gpt_neox.layers.21/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="2958" name="__module.model.gpt_neox.layers.18/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73875,14 +45961,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3581,3583,hidden_states.45">
+				<port id="2" precision="FP32" names="2485,attn_output.151">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5198" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="2959" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -73890,7 +45976,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5199" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="2960" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73910,8 +45996,8 @@
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 			</output>
 		</layer>
-		<layer id="5200" name="Constant_325411" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1238573252" size="10240" />
+		<layer id="2961" name="Constant_37053" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="880310472" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -73920,7 +46006,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5201" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="2962" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73942,8 +46028,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5202" name="Constant_325412" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1238583492" size="10240" />
+		<layer id="2963" name="Constant_37054" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="880320712" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -73952,7 +46038,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5203" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="2964" name="__module.model.gpt_neox.layers.18.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -73967,134 +46053,134 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3593">
+				<port id="2" precision="FP32" names="2489">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5204" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="1238593732" size="9830400" />
+		<layer id="2965" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="880330952" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
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+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5205" name="Convert_449822" type="Convert" version="opset1">
+		<layer id="2966" name="Convert_176339" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
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+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5206" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="1248424132" size="76800" />
+		<layer id="2967" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="893438152" size="102400" />
 			<output>
 				<port id="0" precision="U4">
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+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5207" name="Convert_449824" type="Convert" version="opset1">
+		<layer id="2968" name="Convert_176341" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5208" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="2969" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5209" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="1248500932" size="307200" />
+		<layer id="2970" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="893540552" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5210" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="2971" name="self.model.gpt_neox.layers.18.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
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+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5211" name="Constant_449829" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="139492128" size="16" />
+		<layer id="2972" name="Constant_176346" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
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 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5212" name="Reshape_449830" type="Reshape" version="opset1">
+		<layer id="2973" name="Reshape_176347" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
@@ -74104,27 +46190,30 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5213" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="2974" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="2975" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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@@ -74133,7 +46222,7 @@
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 				<port id="1" precision="FP32">
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@@ -74141,1240 +46230,749 @@
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 					<dim>-1</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="2977" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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-			<data special_zero="true" />
+		<layer id="2978" name="__module.model.gpt_neox.layers.18.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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+		<layer id="2979" name="__module.model.gpt_neox.layers.18.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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-					<dim>32</dim>
-					<dim>-1</dim>
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+					<dim>2560</dim>
 					<dim>80</dim>
+					<dim>128</dim>
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5306" name="Constant_302251" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3024" name="Constant_12743" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5307" name="ScatterUpdate_302254" type="ScatterUpdate" version="opset3">
+		<layer id="3025" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -75382,34 +46980,72 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2533,q.39">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3026" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2539">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5308" name="Constant_302257" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="3027" name="Constant_12897" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5309" name="Constant_302260" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3028" name="Constant_12899" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3029" name="Constant_12901" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5310" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3030" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75418,17 +47054,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3664,x2.91">
+				<port id="5" precision="FP32" names="2549,x2.77">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75436,8 +47075,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5311" name="Constant_325415" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="3031" name="Constant_37058" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -75447,7 +47086,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5312" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3032" name="__module.model.gpt_neox.layers.19.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75464,7 +47103,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3665">
+				<port id="2" precision="FP32" names="2550">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75472,24 +47111,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5313" name="Constant_302305" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3033" name="Constant_12794" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5314" name="Constant_302310" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3034" name="Constant_12838" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3035" name="Constant_12840" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5315" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3036" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75498,17 +47144,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3659">
+				<port id="5" precision="FP32" names="2544">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75516,7 +47165,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5316" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3037" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75533,7 +47182,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3667">
+				<port id="2" precision="FP32" names="2552">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75541,7 +47190,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5317" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3038" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75558,7 +47207,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3668">
+				<port id="2" precision="FP32" names="2553">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75566,7 +47215,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5318" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3039" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75583,32 +47232,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3669,3673">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5319" name="__module.model.gpt_neox.layers.22.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.22.key">
+				<port id="2" precision="FP32" names="2554,2572">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75616,77 +47240,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5320" name="Constant_433223" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="5321" name="Constant_433216" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5322" name="Constant_433218" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5323" name="Constant_433220" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5324" name="Concat_433221" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5325" name="Broadcast_433224" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5326" name="ReadValue_417344" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.22.valuepresent.22.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3040" name="ReadValue_49778" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.19.keypresent.19.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75696,7 +47251,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.22.value">
+				<port id="1" precision="FP32" names="past_key_values.19.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -75704,13 +47259,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5327" name="Constant_402025" type="Const" version="opset1">
+		<layer id="3041" name="Constant_47443" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5328" name="Gather_402026" type="Gather" version="opset8">
+		<layer id="3042" name="Gather_47444" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -75733,32 +47288,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5329" name="Constant_302355" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="3043" name="Constant_12703" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5330" name="Constant_302358" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="3044" name="Constant_12705" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5331" name="Constant_302361" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3045" name="Constant_12707" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5332" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3046" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75767,17 +47321,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3611">
+				<port id="5" precision="FP32" names="2527">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -75785,15 +47342,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5333" name="Constant_13032" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="3047" name="Constant_12716" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3612">
+				<port id="0" precision="I64" names="2528">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5334" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3048" name="__module.model.gpt_neox.layers.19.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -75806,32 +47363,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3613">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5335" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="5376" name="Constant_268185" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3062" name="Constant_12983" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data axis="0" />
+		<layer id="3063" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -76339,53 +47581,71 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="5" precision="FP32" names="2560">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5378" name="Maximum_316574" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3064" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
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-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2568">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5379" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3065" name="__module.model.gpt_neox.layers.19.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2569">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="3066" name="__module.model.gpt_neox.layers.19.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -76399,21 +47659,34 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="2570,2574">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3067" name="__module.model.gpt_neox.layers.19.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3698,3699,sdpa_result.45,tensor.89">
+				<port id="2" precision="FP32" names="present.19.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -76421,683 +47694,535 @@
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 			</output>
 		</layer>
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-			</output>
-		</layer>
-		<layer id="5382" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3068" name="ReadValue_49780" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.19.valuepresent.19.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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-				<port id="1" precision="I64">
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-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3701">
-					<dim>-1</dim>
+				<port id="1" precision="FP32" names="past_key_values.19.value">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5383" name="__module.model.gpt_neox.layers.22.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="3069" name="Constant_47446" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="3070" name="Gather_47447" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3706">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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-			<output>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
-				</port>
-			</input>
+		<layer id="3071" name="Constant_12721" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
-				<port id="1" precision="FP16">
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-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u4" shape="2560, 20, 1" offset="1252115652" size="25600" />
+		<layer id="3072" name="Constant_12723" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5388" name="Convert_449835" type="Convert" version="opset1">
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-			<input>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="3073" name="Constant_12725" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="3074" name="__module.model.gpt_neox.layers.19.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="FP16">
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-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="0" precision="FP32">
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+					<dim>240</dim>
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-					<dim>20</dim>
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-					<dim>20</dim>
+				<port id="2" precision="I64">
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-				<port id="1" precision="FP16">
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-					<dim>20</dim>
+				<port id="3" precision="I64">
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-					<dim>2560</dim>
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-					<dim>2560</dim>
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 		</layer>
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@@ -77107,36 +48232,36 @@
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+		<layer id="3104" name="self.model.gpt_neox.layers.19.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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 			<output>
 				<port id="1" precision="FP32">
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 		</layer>
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+		<layer id="3105" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>2560</dim>
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 			</input>
 			<output>
@@ -77147,8 +48272,8 @@
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 			</output>
 		</layer>
-		<layer id="5428" name="Constant_325420" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1292179652" size="10240" />
+		<layer id="3106" name="Constant_37060" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -77157,7 +48282,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5429" name="__module.model.gpt_neox.layers.22.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3107" name="__module.model.gpt_neox.layers.19.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -77172,14 +48297,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3728,input.93">
+				<port id="2" precision="FP32" names="2591,2593,input.77">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5430" name="__module.model.gpt_neox.layers.22/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3108" name="__module.model.gpt_neox.layers.19/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77194,14 +48319,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3730,3732,hidden_states.47">
+				<port id="2" precision="FP32" names="2597,attn_output.159">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="5431" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3109" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -77209,7 +48334,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5432" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3110" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77229,8 +48354,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5433" name="Constant_325421" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1292189892" size="10240" />
+		<layer id="3111" name="Constant_37061" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="921275592" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -77239,7 +48364,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5434" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3112" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77261,8 +48386,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5435" name="Constant_325422" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1292200132" size="10240" />
+		<layer id="3113" name="Constant_37062" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="921285832" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -77271,7 +48396,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5436" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3114" name="__module.model.gpt_neox.layers.19.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77286,134 +48411,134 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3742">
+				<port id="2" precision="FP32" names="2601">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5437" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="1292210372" size="9830400" />
+		<layer id="3115" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="921296072" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5438" name="Convert_449866" type="Convert" version="opset1">
+		<layer id="3116" name="Convert_176359" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5439" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="1302040772" size="76800" />
+		<layer id="3117" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="934403272" size="102400" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5440" name="Convert_449868" type="Convert" version="opset1">
+		<layer id="3118" name="Convert_176361" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5441" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3119" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5442" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="1302117572" size="307200" />
+		<layer id="3120" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="934505672" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5443" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3121" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5444" name="Constant_449873" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="139492128" size="16" />
+		<layer id="3122" name="Constant_176366" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5445" name="Reshape_449874" type="Reshape" version="opset1">
+		<layer id="3123" name="Reshape_176367" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
@@ -77423,27 +48548,30 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5446" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3124" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5447" name="__module.model.gpt_neox.layers.23.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3125" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -77452,7 +48580,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -77460,918 +48588,666 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
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 			</output>
 		</layer>
-		<layer id="5448" name="Constant_325423" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1302424772" size="30720" />
+		<layer id="3126" name="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="934915272" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.19.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5449" name="__module.model.gpt_neox.layers.23.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3127" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3749,qkv.93">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>7680</dim>
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-		</layer>
-		<layer id="5450" name="__module.model.gpt_neox.layers.23.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5451" name="__module.model.gpt_neox.layers.23.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3128" name="__module.model.gpt_neox.layers.19.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>10240</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3753,qkv.95">
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 					<dim>-1</dim>
 					<dim>-1</dim>
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-					<dim>240</dim>
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-		<layer id="5452" name="Constant_302456" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="5453" name="Constant_302459" type="Const" version="opset1">
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-		<layer id="5454" name="Constant_302462" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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+					<dim>10240</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3129" name="__module.model.gpt_neox.layers.19.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-				<port id="3" precision="I64">
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+					<dim>10240</dim>
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 			</input>
 			<output>
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+				<port id="1" precision="FP32" names="2607">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="3166" name="Constant_13315" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.23.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5515" name="__module.model.gpt_neox.layers.23.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="3167" name="Constant_13317" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5516" name="__module.model.gpt_neox.layers.23.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3168" name="Constant_13319" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5517" name="__module.model.gpt_neox.layers.23.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3169" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -78382,118 +49258,28 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="3777,3780,sin.93">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5518" name="Constant_38368" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5519" name="__module.model.gpt_neox.layers.23.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="3785">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5520" name="__module.model.gpt_neox.layers.23.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="3786,sin.95">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5521" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3801">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5522" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="5" precision="FP32" names="2636">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="3802,3820,3830,query.141,query.143">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5523" name="Constant_13599" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="3170" name="Constant_13328" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3758">
+				<port id="0" precision="I64" names="2637">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5524" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3171" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78506,7 +49292,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3759,key.139">
+				<port id="2" precision="FP32" names="2638,query.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78514,32 +49300,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5525" name="Constant_302594" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3172" name="Constant_13369" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5526" name="Constant_302597" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="3173" name="Constant_13371" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5527" name="Constant_302600" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3174" name="Constant_13373" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5528" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3175" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78548,17 +49333,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3765,k.47">
+				<port id="5" precision="FP32" names="2645,q.41">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78566,7 +49354,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5529" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="3176" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78583,7 +49371,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3803">
+				<port id="2" precision="FP32" names="2651">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78591,144 +49379,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5530" name="Constant_302604" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5531" name="Constant_302603" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="3177" name="Constant_13527" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5532" name="__module.model.gpt_neox.layers.23.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5533" name="__module.model.gpt_neox.layers.23.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5534" name="__module.model.gpt_neox.layers.23.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3804,3809" />
-			</output>
-		</layer>
-		<layer id="5535" name="__module.model.gpt_neox.layers.23.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5536" name="__module.model.gpt_neox.layers.23.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="3806,3807,3811,3812" />
-			</output>
-		</layer>
-		<layer id="5537" name="Constant_337818" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3178" name="Constant_13529" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5538" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5539" name="Constant_302602" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3179" name="Constant_13531" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5540" name="ScatterUpdate_302605" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5541" name="Constant_302608" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5542" name="Constant_302611" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="5543" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3180" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78737,17 +49412,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3813,x2.95">
+				<port id="5" precision="FP32" names="2661,x2.81">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78755,8 +49433,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5544" name="Constant_325425" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="3181" name="Constant_37066" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -78766,7 +49444,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5545" name="__module.model.gpt_neox.layers.23.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3182" name="__module.model.gpt_neox.layers.20.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78783,7 +49461,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3814">
+				<port id="2" precision="FP32" names="2662">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78791,24 +49469,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5546" name="Constant_302656" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3183" name="Constant_13424" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5547" name="Constant_302661" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3184" name="Constant_13468" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3185" name="Constant_13470" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5548" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3186" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -78817,17 +49502,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2656">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78835,7 +49523,7 @@
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 			</output>
 		</layer>
-		<layer id="5549" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3187" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78852,7 +49540,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3816">
+				<port id="2" precision="FP32" names="2664">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78860,7 +49548,7 @@
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 			</output>
 		</layer>
-		<layer id="5550" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3188" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78877,7 +49565,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3817">
+				<port id="2" precision="FP32" names="2665">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78885,7 +49573,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5551" name="__module.model.gpt_neox.layers.23.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3189" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -78902,32 +49590,7 @@
 				</port>
 			</input>
 			<output>
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-					<dim>80</dim>
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-				<port id="0" precision="FP32">
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-			<output>
-				<port id="2" precision="FP32" names="present.23.key">
+				<port id="2" precision="FP32" names="2666,2684">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -78935,77 +49598,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5553" name="Constant_433249" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		<layer id="5554" name="Constant_433242" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="5555" name="Constant_433244" type="Const" version="opset1">
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-		<layer id="5556" name="Constant_433246" type="Const" version="opset1">
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-		<layer id="5557" name="Concat_433247" type="Concat" version="opset1">
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-				<port id="0" precision="I64">
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-				<port id="3" precision="I64">
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-		<layer id="5558" name="Broadcast_433250" type="Broadcast" version="opset3">
-			<data mode="numpy" />
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-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
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-			</input>
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-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
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-		</layer>
-		<layer id="5559" name="ReadValue_417348" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.23.valuepresent.23.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3190" name="ReadValue_49786" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.20.keypresent.20.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79015,7 +49609,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.23.value">
+				<port id="1" precision="FP32" names="past_key_values.20.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79023,13 +49617,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5560" name="Constant_402031" type="Const" version="opset1">
+		<layer id="3191" name="Constant_47449" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5561" name="Gather_402032" type="Gather" version="opset8">
+		<layer id="3192" name="Gather_47450" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -79052,32 +49646,31 @@
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 			</output>
 		</layer>
-		<layer id="5562" name="Constant_302706" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="3193" name="Constant_13333" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5563" name="Constant_302709" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="3194" name="Constant_13335" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5564" name="Constant_302712" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3195" name="Constant_13337" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3196" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79086,17 +49679,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3760">
+				<port id="5" precision="FP32" names="2639">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -79104,15 +49700,15 @@
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 			</output>
 		</layer>
-		<layer id="5566" name="Constant_13613" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="3197" name="Constant_13346" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3761">
+				<port id="0" precision="I64" names="2640">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5567" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3198" name="__module.model.gpt_neox.layers.20.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79125,32 +49721,7 @@
 				</port>
 			</input>
 			<output>
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-					<dim>32</dim>
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-			<input>
-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
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-					<dim>80</dim>
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-			</input>
-			<output>
-				<port id="2" precision="FP32" names="present.23.value">
+				<port id="2" precision="FP32" names="2641,key.81">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79158,86 +49729,31 @@
 				</port>
 			</output>
 		</layer>
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-					<dim>2048</dim>
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-		<layer id="5570" name="Constant_302716" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028140" size="24" />
+		<layer id="3199" name="Constant_13389" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5571" name="Constant_302715" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="3200" name="Constant_13391" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-					<dim>32</dim>
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-		<layer id="5573" name="Constant_340013" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5574" name="Constant_340014" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="3201" name="Constant_13393" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5575" name="Gather_340015" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" />
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-		</layer>
-		<layer id="5576" name="Add_340016" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
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 			</output>
 		</layer>
-		<layer id="5577" name="ShapeOf_340083" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3202" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79245,222 +49761,84 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		<layer id="5580" name="Gather_340086" type="Gather" version="opset8">
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-				<port id="1" precision="I64" />
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-			<output>
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 				<port id="2" precision="I64">
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+		<layer id="3204" name="Constant_13670" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="3205" name="Constant_13672" type="Const" version="opset1">
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-		<layer id="5595" name="Constant_302791" type="Const" version="opset1">
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+		<layer id="3206" name="Constant_13674" type="Const" version="opset1">
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 				</port>
 			</output>
 		</layer>
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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@@ -79468,127 +49846,59 @@
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 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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 			</input>
 			<output>
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-					<dim>1</dim>
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+					<dim>32</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="" offset="145028188" size="4" />
+		<layer id="3208" name="Constant_37067" type="Const" version="opset1">
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 			<output>
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-			<input>
-				<port id="0" precision="BOOL">
+				<port id="0" precision="FP32">
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 					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="5602" name="Add_316644" type="Add" version="opset1">
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+				<port id="2" precision="FP32" names="2678">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="5604" name="Constant_340089" type="Const" version="opset1">
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@@ -79596,143 +49906,95 @@
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 		</layer>
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-				<port id="3" precision="I64">
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-			</input>
+		<layer id="3211" name="Constant_13611" type="Const" version="opset1">
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-				<port id="1" precision="I64">
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+					<dim>1</dim>
 				</port>
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+			</output>
+		</layer>
+		<layer id="3212" name="Constant_13613" type="Const" version="opset1">
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 			<output>
-				<port id="2" precision="I64">
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+				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data mode="numpy" />
+		<layer id="3213" name="__module.model.gpt_neox.layers.20.attention/aten::slice/Slice_8" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
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 					<dim>-1</dim>
+					<dim>80</dim>
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 				<port id="1" precision="I64">
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+					<dim>1</dim>
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+				<port id="2" precision="I64">
+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2672">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<data causal="false" />
+		<layer id="3214" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_2" type="Concat" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3215" name="__module.model.gpt_neox.layers.20.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
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 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
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 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3847,3848,sdpa_result.47,tensor.93">
+				<port id="2" precision="FP32" names="2681">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -79740,15 +50002,8 @@
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 			</output>
 		</layer>
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-		<layer id="5615" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3216" name="__module.model.gpt_neox.layers.20.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -79756,707 +50011,576 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
+				<port id="2" precision="FP32" names="2682,2686">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="3217" name="__module.model.gpt_neox.layers.20.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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 		</layer>
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 			<input>
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 				<port id="0" precision="FP32">
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+		<layer id="3243" name="Constant_40555" type="Const" version="opset1">
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 		</layer>
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 		</layer>
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 		</layer>
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 					<dim>2560</dim>
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+		<layer id="3252" name="Constant_177198" type="Const" version="opset1">
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-		<layer id="5660" name="Reshape_449907" type="Reshape" version="opset1">
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@@ -80466,36 +50590,36 @@
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-					<dim>10240</dim>
+					<dim>2560</dim>
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 		</layer>
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+		<layer id="3254" name="self.model.gpt_neox.layers.20.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
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+		<layer id="3255" name="__module.model.gpt_neox.layers.20.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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@@ -80506,8 +50630,8 @@
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-			<data element_type="f32" shape="1, 1, 2560" offset="1333170372" size="10240" />
+		<layer id="3256" name="Constant_37068" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -80516,7 +50640,7 @@
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 		</layer>
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+		<layer id="3257" name="__module.model.gpt_neox.layers.20.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
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@@ -80531,14 +50655,14 @@
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@@ -80553,14 +50677,14 @@
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-				<port id="2" precision="FP32" names="3879,3881,hidden_states.49">
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-		<layer id="5666" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3259" name="__module.model.gpt_neox.layers.20.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
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@@ -80568,7 +50692,7 @@
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 		</layer>
-		<layer id="5667" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3260" name="__module.model.gpt_neox.layers.20.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
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@@ -80588,8 +50712,8 @@
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-		<layer id="5668" name="Constant_325431" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1333180612" size="10240" />
+		<layer id="3261" name="Constant_37069" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -80598,7 +50722,7 @@
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 		</layer>
-		<layer id="5669" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3262" name="__module.model.gpt_neox.layers.20.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -80620,8 +50744,8 @@
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-		<layer id="5670" name="Constant_325432" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1333190852" size="10240" />
+		<layer id="3263" name="Constant_37070" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -80630,7 +50754,7 @@
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 		</layer>
-		<layer id="5671" name="__module.model.gpt_neox.layers.24.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3264" name="__module.model.gpt_neox.layers.20.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -80645,134 +50769,134 @@
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-			<data element_type="u4" shape="7680, 20, 1" offset="1343031492" size="76800" />
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-		<layer id="5675" name="Convert_449912" type="Convert" version="opset1">
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-		<layer id="5676" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3269" name="self.model.gpt_neox.layers.20.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
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+		<layer id="3270" name="self.model.gpt_neox.layers.20.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
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@@ -80782,27 +50906,30 @@
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-		<layer id="5681" name="self.model.gpt_neox.layers.24.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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-		<layer id="5682" name="__module.model.gpt_neox.layers.24.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3275" name="__module.model.gpt_neox.layers.20.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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@@ -80811,7 +50938,7 @@
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@@ -80819,756 +50946,743 @@
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+		<layer id="3276" name="self.model.gpt_neox.layers.20.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
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+					<dim>10240</dim>
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+			</output>
+		</layer>
+		<layer id="3277" name="__module.model.gpt_neox.layers.20.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+			<output>
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 		</layer>
-		<layer id="5684" name="__module.model.gpt_neox.layers.24.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3278" name="__module.model.gpt_neox.layers.20.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
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+		<layer id="3279" name="__module.model.gpt_neox.layers.20.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
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+					<dim>80</dim>
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+				<port id="0" precision="FP16">
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+		<layer id="3311" name="__module.model.gpt_neox.layers.21.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="5728" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="3313" name="__module.model.gpt_neox.layers.21.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 		</layer>
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-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3314" name="__module.model.gpt_neox.layers.21.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522864" size="32" />
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-			<data output_type="i64" />
+		<layer id="3315" name="__module.model.gpt_neox.layers.21.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
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-			</output>
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 			<output>
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+				<port id="2" precision="FP32" names="2747,qkv.87">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
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 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="3316" name="Constant_13945" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5735" name="__module.model.gpt_neox.layers.24.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="3317" name="Constant_13947" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="1" precision="I64" names="3939,3940,3944,3945" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3318" name="Constant_13949" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="3319" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2748">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="5738" name="Constant_302840" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3320" name="Constant_13958" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
+				<port id="0" precision="I64" names="2749">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5739" name="ScatterUpdate_302843" type="ScatterUpdate" version="opset3">
+		<layer id="3321" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2750,query.43">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5740" name="Constant_302846" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="3322" name="Constant_13999" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5741" name="Constant_302849" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3323" name="Constant_14001" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5742" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3324" name="Constant_14003" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3325" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81577,78 +51691,77 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3946,x2.97">
+				<port id="5" precision="FP32" names="2757,q.43">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
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-		<layer id="5743" name="Constant_325434" type="Const" version="opset1">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5744" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="3326" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3947">
+				<port id="2" precision="FP32" names="2763">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5745" name="Constant_302894" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3327" name="Constant_14157" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5746" name="Constant_302899" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3328" name="Constant_14159" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5747" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3329" name="Constant_14161" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3330" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81657,17 +51770,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3941">
+				<port id="5" precision="FP32" names="2773,x2.85">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81675,8 +51791,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5748" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="3331" name="Constant_37074" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3332" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81685,51 +51812,51 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3949">
+				<port id="2" precision="FP32" names="2774">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5749" name="self.model.gpt_neox.layers.24.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="3333" name="Constant_14054" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.24.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5750" name="__module.model.gpt_neox.layers.24.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="3334" name="Constant_14098" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5751" name="__module.model.gpt_neox.layers.24.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3335" name="Constant_14100" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5752" name="__module.model.gpt_neox.layers.24.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3336" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -81741,60 +51868,70 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3926,3929,sin.97">
+				<port id="5" precision="FP32" names="2768">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5753" name="Constant_38374" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5754" name="__module.model.gpt_neox.layers.24.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3337" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3934">
+				<port id="2" precision="FP32" names="2776">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5755" name="__module.model.gpt_neox.layers.24.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3338" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3935,sin.99">
+				<port id="2" precision="FP32" names="2777">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5756" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3339" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -81805,13 +51942,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3950">
+				<port id="2" precision="FP32" names="2778,2796">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81819,24 +51956,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5757" name="__module.model.gpt_neox.layers.24.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3340" name="ReadValue_49790" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.21.keypresent.21.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3951,3969,3979,query.147,query.149">
+				<port id="1" precision="FP32" names="past_key_values.21.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81844,28 +51975,28 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5758" name="Constant_14180" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="3341" name="Constant_47455" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="3907">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5759" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3342" name="Gather_47456" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3908,key.145">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81873,76 +52004,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5760" name="Constant_302945" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3343" name="Constant_13963" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5761" name="Constant_302948" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="3344" name="Constant_13965" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5762" name="Constant_302951" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3345" name="Constant_13967" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5763" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3346" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3914,k.49">
+				<port id="5" precision="FP32" names="2751">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5764" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3347" name="Constant_13976" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2752">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3348" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3952">
+				<port id="2" precision="FP32" names="2753,key.85">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -81950,24 +52087,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5765" name="Constant_302955" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3349" name="Constant_14019" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5766" name="Constant_302954" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="3350" name="Constant_14021" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5767" name="__module.model.gpt_neox.layers.24.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3351" name="Constant_14023" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3352" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -81975,119 +52119,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5768" name="__module.model.gpt_neox.layers.24.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5769" name="__module.model.gpt_neox.layers.24.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="3953,3958" />
-			</output>
-		</layer>
-		<layer id="5770" name="__module.model.gpt_neox.layers.24.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="5771" name="__module.model.gpt_neox.layers.24.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="3955,3956,3960,3961" />
-			</output>
-		</layer>
-		<layer id="5772" name="Constant_337828" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2759,k.43">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5773" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="3353" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="2779">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5774" name="Constant_302953" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3354" name="Constant_14300" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
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-		</layer>
-		<layer id="5775" name="ScatterUpdate_302956" type="ScatterUpdate" version="opset3">
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 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="5776" name="Constant_302959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="3355" name="Constant_14302" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5777" name="Constant_302962" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3356" name="Constant_14304" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5778" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3357" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82096,17 +52199,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82114,8 +52220,8 @@
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="3358" name="Constant_37075" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -82125,7 +52231,7 @@
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 		</layer>
-		<layer id="5780" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3359" name="__module.model.gpt_neox.layers.21.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82142,7 +52248,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3963">
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 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82150,24 +52256,31 @@
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 			</output>
 		</layer>
-		<layer id="5781" name="Constant_303007" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3360" name="Constant_14197" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3361" name="Constant_14241" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
+			<output>
+				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="5782" name="Constant_303012" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3362" name="Constant_14243" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3363" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82176,17 +52289,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2784">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82194,7 +52310,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5784" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3364" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82211,7 +52327,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3965">
+				<port id="2" precision="FP32" names="2792">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82219,7 +52335,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5785" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3365" name="__module.model.gpt_neox.layers.21.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82236,7 +52352,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3966">
+				<port id="2" precision="FP32" names="2793">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82244,7 +52360,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5786" name="__module.model.gpt_neox.layers.24.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3366" name="__module.model.gpt_neox.layers.21.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82261,7 +52377,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3967,3971">
+				<port id="2" precision="FP32" names="2794,2798">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82269,7 +52385,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5787" name="__module.model.gpt_neox.layers.24.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="3367" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82286,7 +52402,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.24.key">
+				<port id="2" precision="FP32" names="present.21.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82294,77 +52410,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5788" name="Constant_433275" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="5789" name="Constant_433268" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5790" name="Constant_433270" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5791" name="Constant_433272" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
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-			</output>
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-		<layer id="5792" name="Concat_433273" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
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-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
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-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5793" name="Broadcast_433276" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="5794" name="ReadValue_417352" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.24.valuepresent.24.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3368" name="ReadValue_49792" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.21.valuepresent.21.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82374,7 +52421,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.24.value">
+				<port id="1" precision="FP32" names="past_key_values.21.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82382,13 +52429,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5795" name="Constant_402037" type="Const" version="opset1">
+		<layer id="3369" name="Constant_47458" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5796" name="Gather_402038" type="Gather" version="opset8">
+		<layer id="3370" name="Gather_47459" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82411,32 +52458,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5797" name="Constant_303057" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="3371" name="Constant_13981" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5798" name="Constant_303060" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="3372" name="Constant_13983" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5799" name="Constant_303063" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3373" name="Constant_13985" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5800" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3374" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82445,17 +52491,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3909">
+				<port id="5" precision="FP32" names="2754">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -82463,15 +52512,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5801" name="Constant_14194" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="3375" name="Constant_13994" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="3910">
+				<port id="0" precision="I64" names="2755">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5802" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3376" name="__module.model.gpt_neox.layers.21.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -82484,7 +52533,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3911">
+				<port id="2" precision="FP32" names="2756">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82492,7 +52541,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5803" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="3377" name="__module.model.gpt_neox.layers.21.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82509,7 +52558,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.24.value">
+				<port id="2" precision="FP32" names="present.21.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -82517,34 +52566,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5804" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_11" type="Const" version="opset1">
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-					<dim>1</dim>
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-					<dim>2048</dim>
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-		<layer id="5805" name="Constant_303067" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		</layer>
-		<layer id="5806" name="Constant_303066" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="3378" name="Constant_14376" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5807" name="ShapeOf_340103" type="ShapeOf" version="opset3">
+		<layer id="3379" name="ShapeOf_39732" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -82560,263 +52590,22 @@
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 			</output>
 		</layer>
-		<layer id="5808" name="Constant_340104" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5809" name="Constant_340105" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="3380" name="Constant_39733" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5810" name="Gather_340106" type="Gather" version="opset8">
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 				<port id="0" precision="I64">
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-				<port id="1" precision="I64" />
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-		<layer id="5811" name="Add_340107" type="Add" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
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-		<layer id="5812" name="ShapeOf_340174" type="ShapeOf" version="opset3">
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-					<dim>32</dim>
-					<dim>-1</dim>
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-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5813" name="Constant_340175" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="5814" name="Constant_340176" type="Const" version="opset1">
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 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5815" name="Gather_340177" type="Gather" version="opset8">
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-		<layer id="5825" name="Constant_303073" type="Const" version="opset1">
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-		<layer id="5826" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_12" type="StridedSlice" version="opset1">
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-				<port id="3" precision="I64">
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-		<layer id="5827" name="Constant_303146" type="Const" version="opset1">
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-		<layer id="5828" name="Constant_303147" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="5829" name="Constant_303143" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
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-				<port id="0" precision="I64">
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-		</layer>
-		<layer id="5830" name="Constant_303142" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32">
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-		<layer id="5831" name="ScatterUpdate_303148" type="ScatterUpdate" version="opset3">
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
@@ -82824,121 +52613,22 @@
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
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-				<port id="3" precision="I32">
-					<dim>1</dim>
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+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-		<layer id="5832" name="Constant_303151" type="Const" version="opset1">
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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 				<port id="3" precision="I64">
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-					<dim>-1</dim>
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-		<layer id="5834" name="__module.model.gpt_neox.layers.24.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="5835" name="__module.model.gpt_neox.layers.24.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="145028188" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="3978" />
-			</output>
-		</layer>
-		<layer id="5836" name="__module.model.gpt_neox.layers.24.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
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-					<dim>1</dim>
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-		<layer id="5837" name="Add_316716" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
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 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5838" name="ShapeOf_316717" type="ShapeOf" version="opset3">
+		<layer id="3383" name="ShapeOf_39736" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
@@ -82947,21 +52637,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5839" name="Constant_340180" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="3384" name="Constant_39737" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5840" name="Constant_340181" type="Const" version="opset1">
+		<layer id="3385" name="Constant_39738" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="5841" name="Gather_340182" type="Gather" version="opset8">
+		<layer id="3386" name="Gather_39739" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -82973,40 +52663,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="3976">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5842" name="Constant_268201" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
+		<layer id="3387" name="Add_39740" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="5843" name="Constant_268203" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="2803">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5844" name="Constant_268205" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3388" name="Constant_14379" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5845" name="__module.model.gpt_neox.layers.24.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="3389" name="__module.model.gpt_neox.layers.21.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -83017,44 +52709,12 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64" names="3993">
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-		<layer id="5846" name="Maximum_316718" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
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-		<layer id="5847" name="__module.model.gpt_neox.layers.24.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
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-					<dim>-1</dim>
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-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3995">
+				<port id="5" precision="FP32" names="2807">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -83062,7 +52722,7 @@
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 			</output>
 		</layer>
-		<layer id="5848" name="__module.model.gpt_neox.layers.24.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="3390" name="__module.model.gpt_neox.layers.21.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83091,7 +52751,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="3996,3997,sdpa_result.49,tensor.97">
+				<port id="4" precision="FP32" names="2808,attn_output.169">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -83099,15 +52759,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5849" name="Constant_14635" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="3391" name="__module.model.gpt_neox.layers.21.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64" names="3998">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5850" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3392" name="__module.model.gpt_neox.layers.21.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -83115,12 +52775,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3999">
+				<port id="2" precision="FP32" names="2809">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -83128,15 +52788,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5851" name="__module.model.gpt_neox.layers.24.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="3393" name="Constant_40556" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5852" name="__module.model.gpt_neox.layers.24.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3394" name="__module.model.gpt_neox.layers.21.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83150,15 +52810,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4004">
+				<port id="2" precision="FP32" names="2812">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5853" name="self.model.gpt_neox.layers.24.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 128" offset="1343446212" size="3276800" />
+		<layer id="3395" name="self.model.gpt_neox.layers.21.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="999790792" size="3276800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -83167,7 +52827,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5854" name="Convert_449921" type="Convert" version="opset1">
+		<layer id="3396" name="Convert_177202" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -83184,8 +52844,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5855" name="self.model.gpt_neox.layers.24.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 1" offset="1346723012" size="25600" />
+		<layer id="3397" name="self.model.gpt_neox.layers.21.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="1003067592" size="25600" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -83194,7 +52854,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5856" name="Convert_449923" type="Convert" version="opset1">
+		<layer id="3398" name="Convert_177204" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -83211,7 +52871,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5857" name="self.model.gpt_neox.layers.24.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3399" name="self.model.gpt_neox.layers.21.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83233,8 +52893,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5858" name="self.model.gpt_neox.layers.24.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="1346748612" size="102400" />
+		<layer id="3400" name="self.model.gpt_neox.layers.21.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="1003093192" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -83243,7 +52903,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5859" name="self.model.gpt_neox.layers.24.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3401" name="self.model.gpt_neox.layers.21.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83265,15 +52925,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5860" name="Constant_449928" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="3402" name="Constant_177209" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5861" name="Reshape_449929" type="Reshape" version="opset1">
+		<layer id="3403" name="Reshape_177210" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83292,7 +52952,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5862" name="self.model.gpt_neox.layers.24.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3404" name="self.model.gpt_neox.layers.21.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83307,7 +52967,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5863" name="__module.model.gpt_neox.layers.24.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3405" name="__module.model.gpt_neox.layers.21.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83328,8 +52988,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5864" name="Constant_325436" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1346851012" size="10240" />
+		<layer id="3406" name="Constant_37076" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1003195592" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83338,7 +52998,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5865" name="__module.model.gpt_neox.layers.24.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3407" name="__module.model.gpt_neox.layers.21.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83353,14 +53013,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4007,4009,input.99">
+				<port id="2" precision="FP32" names="2815,2817,input.85">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5866" name="__module.model.gpt_neox.layers.24/aten::add/Add" type="Add" version="opset1">
+		<layer id="3408" name="__module.model.gpt_neox.layers.21/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83375,14 +53035,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4013,attn_output.99">
+				<port id="2" precision="FP32" names="2821,attn_output.175">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5867" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3409" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -83390,7 +53050,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5868" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3410" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83410,8 +53070,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5869" name="Constant_325437" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1346861252" size="10240" />
+		<layer id="3411" name="Constant_37077" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1003205832" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83420,7 +53080,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5870" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3412" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83442,8 +53102,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5871" name="Constant_325438" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1346871492" size="10240" />
+		<layer id="3413" name="Constant_37078" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1003216072" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83452,7 +53112,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5872" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3414" name="__module.model.gpt_neox.layers.21.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83467,99 +53127,139 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4017">
+				<port id="2" precision="FP32" names="2825">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5873" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 2560" offset="1346881732" size="26214400" />
+		<layer id="3415" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="1003226312" size="13107200" />
 			<output>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5874" name="Convert_449933" type="Convert" version="opset1">
+		<layer id="3416" name="Convert_176399" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5875" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="10240, 1" offset="1373096132" size="10240" />
+		<layer id="3417" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="1016333512" size="102400" />
 			<output>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5876" name="Convert_449936" type="Convert" version="opset1">
+		<layer id="3418" name="Convert_176401" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="U8">
+				<port id="0" precision="U4">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3419" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>10240</dim>
+					<dim>20</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>10240</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3420" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="1016435912" size="409600" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5877" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3421" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>10240</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5878" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 1" offset="1373106372" size="20480" />
+		<layer id="3422" name="Constant_176406" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5879" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3423" name="Reshape_176407" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
-					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
-				<port id="1" precision="FP16">
-					<dim>10240</dim>
-					<dim>1</dim>
+				<port id="1" precision="I64">
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
@@ -83569,8 +53269,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5880" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3424" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -83584,7 +53287,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5881" name="__module.model.gpt_neox.layers.24.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3425" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83605,17 +53308,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5882" name="Constant_325439" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1373126852" size="40960" />
+		<layer id="3426" name="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1016845512" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3427" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5883" name="__module.model.gpt_neox.layers.24.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3428" name="__module.model.gpt_neox.layers.21.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83624,20 +53341,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4022">
+				<port id="2" precision="FP32" names="2830">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5884" name="__module.model.gpt_neox.layers.24.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3429" name="__module.model.gpt_neox.layers.21.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83647,15 +53362,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4023">
+				<port id="1" precision="FP32" names="2831">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5885" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 128" offset="1373167812" size="13107200" />
+		<layer id="3430" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="1016865992" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -83664,7 +53379,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5886" name="Convert_449943" type="Convert" version="opset1">
+		<layer id="3431" name="Convert_176409" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -83681,8 +53396,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5887" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 1" offset="1386275012" size="102400" />
+		<layer id="3432" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="1029973192" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -83691,7 +53406,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5888" name="Convert_449945" type="Convert" version="opset1">
+		<layer id="3433" name="Convert_176411" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -83708,7 +53423,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5889" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3434" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83730,8 +53445,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5890" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 80, 1" offset="1386377412" size="409600" />
+		<layer id="3435" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="1030075592" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -83740,7 +53455,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5891" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3436" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83762,15 +53477,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5892" name="Constant_449950" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="3437" name="Constant_176416" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5893" name="Reshape_449951" type="Reshape" version="opset1">
+		<layer id="3438" name="Reshape_176417" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -83789,8 +53504,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5894" name="self.model.gpt_neox.layers.24.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3439" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -83804,7 +53522,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5895" name="__module.model.gpt_neox.layers.24.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3440" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83825,17 +53543,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5896" name="Constant_325440" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1386787012" size="10240" />
+		<layer id="3441" name="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1030485192" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.21.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3442" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5897" name="__module.model.gpt_neox.layers.24.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3443" name="__module.model.gpt_neox.layers.21.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83844,20 +53576,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4026,input.101">
+				<port id="2" precision="FP32" names="2834,input.87">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5898" name="__module.model.gpt_neox.layers.24/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3444" name="__module.model.gpt_neox.layers.21/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83872,14 +53602,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4028,4030,hidden_states.51">
+				<port id="2" precision="FP32" names="2836,2838,hidden_states.91">
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 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5899" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3445" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -83887,7 +53617,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5900" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3446" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83907,8 +53637,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5901" name="Constant_325441" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1386797252" size="10240" />
+		<layer id="3447" name="Constant_37079" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1030490312" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83917,7 +53647,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5902" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3448" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83939,8 +53669,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5903" name="Constant_325442" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1386807492" size="10240" />
+		<layer id="3449" name="Constant_37080" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1030500552" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -83949,7 +53679,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5904" name="__module.model.gpt_neox.layers.25.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3450" name="__module.model.gpt_neox.layers.22.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -83964,15 +53694,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4040">
+				<port id="2" precision="FP32" names="2848,hidden_states.89">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5905" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="1386817732" size="9830400" />
+		<layer id="3451" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 128" offset="1030510792" size="9830400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -83981,7 +53711,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5906" name="Convert_449954" type="Convert" version="opset1">
+		<layer id="3452" name="Convert_176861" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -83998,8 +53728,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5907" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="1396648132" size="76800" />
+		<layer id="3453" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 1" offset="1040341192" size="76800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -84008,7 +53738,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5908" name="Convert_449956" type="Convert" version="opset1">
+		<layer id="3454" name="Convert_176863" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -84025,7 +53755,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5909" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3455" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -84047,8 +53777,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5910" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="1396724932" size="307200" />
+		<layer id="3456" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="1040417992" size="307200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -84057,7 +53787,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5911" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3457" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -84079,7 +53809,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5912" name="Constant_449961" type="Const" version="opset1">
+		<layer id="3458" name="Constant_176868" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="139492128" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -84087,7 +53817,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5913" name="Reshape_449962" type="Reshape" version="opset1">
+		<layer id="3459" name="Reshape_176869" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -84106,7 +53836,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5914" name="self.model.gpt_neox.layers.25.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3460" name="self.model.gpt_neox.layers.22.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -84121,7 +53851,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5915" name="__module.model.gpt_neox.layers.25.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3461" name="__module.model.gpt_neox.layers.22.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -84142,8 +53872,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5916" name="Constant_325443" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1397032132" size="30720" />
+		<layer id="3462" name="Constant_37081" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="1040725192" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -84152,7 +53882,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5917" name="__module.model.gpt_neox.layers.25.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3463" name="__module.model.gpt_neox.layers.22.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -84167,14 +53897,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4047,qkv.101">
+				<port id="2" precision="FP32" names="2855,qkv.89">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5918" name="__module.model.gpt_neox.layers.25.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="3464" name="__module.model.gpt_neox.layers.22.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="139522864" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -84182,7 +53912,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5919" name="__module.model.gpt_neox.layers.25.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="3465" name="__module.model.gpt_neox.layers.22.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -84195,7 +53925,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4051,qkv.103">
+				<port id="2" precision="FP32" names="2859,qkv.91">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -84203,32 +53933,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5920" name="Constant_303158" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3466" name="Constant_14575" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5921" name="Constant_303161" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="3467" name="Constant_14577" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-		<layer id="5934" name="Constant_303188" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3470" name="Constant_14588" type="Const" version="opset1">
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-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="2861">
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+		<layer id="3471" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose" type="Transpose" version="opset1">
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 				<port id="1" precision="I64">
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 			</input>
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 			</output>
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-		</layer>
-		<layer id="5942" name="Constant_433283" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
@@ -84474,7 +54024,7 @@
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 			</output>
 		</layer>
-		<layer id="5943" name="Constant_433285" type="Const" version="opset1">
+		<layer id="3473" name="Constant_14631" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
@@ -84482,95 +54032,15 @@
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 			</output>
 		</layer>
-		<layer id="5944" name="Concat_433286" type="Concat" version="opset1">
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-			<input>
+		<layer id="3474" name="Constant_14633" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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-			<data output_type="i64" />
+		<layer id="3475" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -84578,91 +54048,6 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
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-		<layer id="5953" name="Constant_337834" type="Const" version="opset1">
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-		<layer id="5956" name="__module.model.gpt_neox.layers.25.attention.rotary_emb/aten::slice/Unsqueeze_2" type="Const" version="opset1">
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 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
@@ -84672,60 +54057,20 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
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-					<dim>-1</dim>
-					<dim>80</dim>
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 			<output>
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+				<port id="5" precision="FP32" names="2869,q.45">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="5961" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="3476" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -84742,7 +54087,7 @@
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2875">
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84750,144 +54095,31 @@
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-		<layer id="5969" name="Constant_337836" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3478" name="Constant_14789" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
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-		<layer id="5971" name="Constant_303191" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3479" name="Constant_14791" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3480" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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@@ -84896,17 +54128,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 				<port id="2" precision="I64">
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+					<dim>1</dim>
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="2885,x2.89">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84914,8 +54149,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5976" name="Constant_325444" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="3481" name="Constant_37082" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -84925,7 +54160,7 @@
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 			</output>
 		</layer>
-		<layer id="5977" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="3482" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -84942,7 +54177,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4096">
+				<port id="2" precision="FP32" names="2886">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84950,24 +54185,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5978" name="Constant_303245" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3483" name="Constant_14684" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="5979" name="Constant_303250" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3484" name="Constant_14728" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3485" name="Constant_14730" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5980" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3486" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -84976,17 +54218,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4090">
+				<port id="5" precision="FP32" names="2880">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -84994,7 +54239,7 @@
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 			</output>
 		</layer>
-		<layer id="5981" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat" type="Concat" version="opset1">
+		<layer id="3487" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85011,7 +54256,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4098">
+				<port id="2" precision="FP32" names="2888">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85019,102 +54264,83 @@
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.25.attention.rotary_emb.sin_cached">
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-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="5983" name="__module.model.gpt_neox.layers.25.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-				</port>
-			</output>
-		</layer>
-		<layer id="5984" name="__module.model.gpt_neox.layers.25.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
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-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
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-		<layer id="5985" name="__module.model.gpt_neox.layers.25.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3488" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4075,4078,sin.101">
+				<port id="2" precision="FP32" names="2889">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5986" name="Constant_38380" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="5987" name="__module.model.gpt_neox.layers.25.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3489" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4083">
+				<port id="2" precision="FP32" names="2890,2908">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5988" name="__module.model.gpt_neox.layers.25.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="3490" name="ReadValue_49794" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.22.keypresent.22.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4084,sin.103">
+				<port id="1" precision="FP32" names="past_key_values.22.key">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5989" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3491" name="Constant_47461" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3492" name="Gather_47462" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85122,15 +54348,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4099">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85138,40 +54362,69 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5990" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3493" name="Constant_14593" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3494" name="Constant_14595" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3495" name="Constant_14597" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3496" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-					<dim>-1</dim>
-					<dim>80</dim>
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-				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4100,4118,4128,query.153,query.155">
+				<port id="5" precision="FP32" names="2863">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5991" name="Constant_14761" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="3497" name="Constant_14606" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4056">
+				<port id="0" precision="I64" names="2864">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5992" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3498" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85184,7 +54437,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4057,key.151">
+				<port id="2" precision="FP32" names="2865,key.89">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85192,32 +54445,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5993" name="Constant_303296" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3499" name="Constant_14649" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5994" name="Constant_303299" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="3500" name="Constant_14651" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5995" name="Constant_303302" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3501" name="Constant_14653" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5996" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3502" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85226,17 +54478,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4063,k.51">
+				<port id="5" precision="FP32" names="2871,k.45">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85244,7 +54499,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5997" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="3503" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85261,7 +54516,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4101">
+				<port id="2" precision="FP32" names="2891">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85269,24 +54524,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5998" name="Constant_303306" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3504" name="Constant_14930" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5999" name="Constant_303305" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="3505" name="Constant_14932" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6000" name="__module.model.gpt_neox.layers.25.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3506" name="Constant_14934" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3507" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85294,119 +54556,89 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6001" name="__module.model.gpt_neox.layers.25.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6002" name="__module.model.gpt_neox.layers.25.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4102,4107" />
-			</output>
-		</layer>
-		<layer id="6003" name="__module.model.gpt_neox.layers.25.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6004" name="__module.model.gpt_neox.layers.25.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
-			<output>
-				<port id="1" precision="I64" names="4104,4105,4109,4110" />
-			</output>
-		</layer>
-		<layer id="6005" name="Constant_337838" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6006" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="2901,x2.91">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6007" name="Constant_303304" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3508" name="Constant_37083" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6008" name="ScatterUpdate_303307" type="ScatterUpdate" version="opset3">
+		<layer id="3509" name="__module.model.gpt_neox.layers.22.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2902">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6009" name="Constant_303310" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="3510" name="Constant_14827" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6010" name="Constant_303313" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3511" name="Constant_14871" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3512" name="Constant_14873" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6011" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3513" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85415,17 +54647,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4111,x2.103">
+				<port id="5" precision="FP32" names="2896">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85433,19 +54668,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6012" name="Constant_325445" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6013" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3514" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85454,39 +54678,48 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4112">
+				<port id="2" precision="FP32" names="2904">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6014" name="Constant_303358" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="3515" name="__module.model.gpt_neox.layers.22.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6015" name="Constant_303363" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="2905">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6016" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3516" name="__module.model.gpt_neox.layers.22.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85494,43 +54727,40 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4106">
+				<port id="2" precision="FP32" names="2906,2910">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6017" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_2" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="3517" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4114">
+				<port id="2" precision="FP32" names="present.22.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85538,24 +54768,47 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6018" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3518" name="ReadValue_49796" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.22.valuepresent.22.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.22.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3519" name="Constant_47464" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3520" name="Gather_47465" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4115">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85563,24 +54816,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6019" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3521" name="Constant_14611" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3522" name="Constant_14613" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3523" name="Constant_14615" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3524" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="2866">
+					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3525" name="Constant_14624" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="2867">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3526" name="__module.model.gpt_neox.layers.22.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4116,4120">
+				<port id="2" precision="FP32" names="2868">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85588,7 +54899,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6020" name="__module.model.gpt_neox.layers.25.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="3527" name="__module.model.gpt_neox.layers.22.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -85605,7 +54916,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.25.key">
+				<port id="2" precision="FP32" names="present.22.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85613,41 +54924,139 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6021" name="Constant_433301" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
+		<layer id="3528" name="Constant_15006" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6022" name="Constant_433294" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="3529" name="ShapeOf_39805" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3530" name="Constant_39806" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3531" name="Constant_39807" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3532" name="Gather_39808" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3533" name="ShapeOf_39809" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3534" name="Constant_39810" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3535" name="Constant_39811" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3536" name="Gather_39812" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3537" name="Add_39813" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6023" name="Constant_433296" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="2915">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6024" name="Constant_433298" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="3538" name="Constant_15009" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6025" name="Concat_433299" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="3539" name="__module.model.gpt_neox.layers.22.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -85658,71 +55067,49 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6026" name="Broadcast_433302" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="5" precision="FP32" names="2919">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6027" name="ReadValue_417356" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.25.valuepresent.25.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3540" name="__module.model.gpt_neox.layers.22.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32" names="past_key_values.25.value">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6028" name="Constant_402043" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6029" name="Gather_402044" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="4" precision="FP32" names="2920,attn_output.177">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -85730,51 +55117,28 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6030" name="Constant_303408" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6031" name="Constant_303411" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6032" name="Constant_303414" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3541" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6033" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3542" name="__module.model.gpt_neox.layers.22.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4058">
+				<port id="2" precision="FP32" names="2921">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -85782,15 +55146,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6034" name="Constant_14775" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="3543" name="Constant_40557" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
-				<port id="0" precision="I64" names="4059">
-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6035" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3544" name="__module.model.gpt_neox.layers.22.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -85799,804 +55164,1022 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4060">
+				<port id="2" precision="FP32" names="2924">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6036" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+		<layer id="3545" name="self.model.gpt_neox.layers.22.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="1040755912" size="3276800" />
+			<output>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+			</output>
+		</layer>
+		<layer id="3546" name="Convert_177213" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.25.value">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6037" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="140833836" size="4194304" />
+		<layer id="3547" name="self.model.gpt_neox.layers.22.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="1044032712" size="25600" />
 			<output>
-				<port id="0" precision="BOOL" names="4137">
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3548" name="Convert_177215" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6038" name="Constant_303418" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028140" size="24" />
+		<layer id="3549" name="self.model.gpt_neox.layers.22.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6039" name="Constant_303417" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="3550" name="self.model.gpt_neox.layers.22.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="1044058312" size="102400" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
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+		<layer id="3600" name="__module.model.gpt_neox.layers.23.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
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 		</layer>
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+		<layer id="3603" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
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 			</output>
 		</layer>
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 				<port id="0" precision="U4">
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 		</layer>
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+		<layer id="3605" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
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 				<port id="1" precision="FP16">
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 					<dim>128</dim>
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 		</layer>
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+		<layer id="3606" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="1081383112" size="307200" />
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 					<dim>1</dim>
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 		</layer>
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+		<layer id="3607" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="1" precision="FP16">
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 			<output>
 				<port id="2" precision="FP16">
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+					<dim>7680</dim>
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 					<dim>128</dim>
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 		</layer>
-		<layer id="6093" name="Constant_449972" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="3608" name="Constant_176879" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="139492128" size="16" />
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 				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="6094" name="Reshape_449973" type="Reshape" version="opset1">
+		<layer id="3609" name="Reshape_176880" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>7680</dim>
 					<dim>20</dim>
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@@ -86606,27 +56189,27 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>2560</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
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 		</layer>
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+		<layer id="3610" name="self.model.gpt_neox.layers.23.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
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 			<output>
 				<port id="1" precision="FP32">
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+					<dim>7680</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6096" name="__module.model.gpt_neox.layers.25.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3611" name="__module.model.gpt_neox.layers.23.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -86635,7 +56218,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>2560</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
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@@ -86643,911 +56226,979 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>7680</dim>
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 		</layer>
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-			<data element_type="f32" shape="1, 1, 2560" offset="1400467652" size="10240" />
+		<layer id="3612" name="Constant_37089" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="1081690312" size="30720" />
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 				<port id="0" precision="FP32">
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 					<dim>1</dim>
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+					<dim>7680</dim>
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 			</output>
 		</layer>
-		<layer id="6098" name="__module.model.gpt_neox.layers.25.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3613" name="__module.model.gpt_neox.layers.23.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 					<dim>1</dim>
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+					<dim>7680</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
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+					<dim>7680</dim>
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 		</layer>
-		<layer id="6099" name="__module.model.gpt_neox.layers.25/aten::add/Add" type="Add" version="opset1">
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+		<layer id="3614" name="__module.model.gpt_neox.layers.23.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522864" size="32" />
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+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3615" name="__module.model.gpt_neox.layers.23.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
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+		<layer id="3616" name="Constant_15205" type="Const" version="opset1">
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 			<output>
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 		</layer>
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+		<layer id="3617" name="Constant_15207" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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+				<port id="0" precision="I64">
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+		</layer>
+		<layer id="3618" name="Constant_15209" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="3619" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
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-					<dim>1</dim>
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 		</layer>
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+		<layer id="3621" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-					<dim>1</dim>
-					<dim>2560</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>80</dim>
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+		</layer>
+		<layer id="3622" name="Constant_15259" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+		<layer id="3623" name="Constant_15261" type="Const" version="opset1">
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+		<layer id="3624" name="Constant_15263" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+		</layer>
+		<layer id="3625" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_1" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
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+					<dim>32</dim>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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+					<dim>80</dim>
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 		</layer>
-		<layer id="6105" name="__module.model.gpt_neox.layers.25.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3626" name="__module.model.gpt_neox.layers.23.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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 			<output>
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+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6152" name="__module.model.gpt_neox.layers.26.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3670" name="Gather_47471" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4200,qkv.107">
-					<dim>-1</dim>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6153" name="Constant_303509" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3671" name="Constant_15241" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6154" name="Constant_303512" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="3672" name="Constant_15243" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6155" name="Constant_303515" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3673" name="Constant_15245" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6156" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3674" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -87556,17 +57207,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4201">
+				<port id="5" precision="FP32" names="2978">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -87574,15 +57228,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6157" name="Constant_15328" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="3675" name="Constant_15254" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4202">
+				<port id="0" precision="I64" names="2979">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6158" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="3676" name="__module.model.gpt_neox.layers.23.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -87595,7 +57249,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4203,query.157">
+				<port id="2" precision="FP32" names="2980">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -87603,32 +57257,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6159" name="Constant_303521" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6160" name="Constant_303524" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6161" name="Constant_303527" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6162" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3677" name="__module.model.gpt_neox.layers.23.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -87636,35 +57266,23 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="FP32" names="4210,q.53">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6163" name="self.model.gpt_neox.layers.26.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="139523024" size="655360" />
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.26.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+				<port id="2" precision="FP32" names="present.23.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6164" name="__module.model.gpt_neox.layers.26.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="3678" name="Constant_15636" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -87672,65 +57290,60 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6165" name="Constant_303533" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="3679" name="ShapeOf_39878" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6166" name="Constant_303536" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="3680" name="Constant_39879" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6167" name="Constant_303539" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3681" name="Constant_39880" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6168" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3682" name="Gather_39881" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4204">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6169" name="ShapeOf_340275" type="ShapeOf" version="opset3">
+		<layer id="3683" name="ShapeOf_39882" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
@@ -87740,21 +57353,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6170" name="Constant_341048" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3684" name="Constant_39883" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6171" name="Constant_340277" type="Const" version="opset1">
+		<layer id="3685" name="Constant_39884" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6172" name="Gather_340278" type="Gather" version="opset8">
+		<layer id="3686" name="Gather_39885" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -87766,46 +57379,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4214">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6173" name="Constant_433314" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="6174" name="Constant_433307" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
+		<layer id="3687" name="Add_39886" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6175" name="Constant_433309" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="3027">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6176" name="Constant_433311" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="3688" name="Constant_15639" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6177" name="Concat_433312" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="3689" name="__module.model.gpt_neox.layers.23.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -87816,42 +57425,49 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3031">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6178" name="Broadcast_433315" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3690" name="__module.model.gpt_neox.layers.23.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6179" name="ReadValue_417358" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.26.keypresent.26.key" variable_type="f32" variable_shape="?,32,?,80" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.26.key">
+				<port id="4" precision="FP32" names="3032,attn_output.185">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -87859,14 +57475,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6180" name="Constant_402046" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="3691" name="__module.model.gpt_neox.layers.23.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6181" name="Gather_402047" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3692" name="__module.model.gpt_neox.layers.23.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -87875,1098 +57492,1194 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
-					<dim>-1</dim>
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="3033">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6182" name="ShapeOf_340280" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3693" name="Constant_40558" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3694" name="__module.model.gpt_neox.layers.23.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
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+		<layer id="3761" name="__module.model.gpt_neox.layers.24.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>7680</dim>
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+			</output>
+		</layer>
+		<layer id="3762" name="Constant_37097" type="Const" version="opset1">
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 		</layer>
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+		<layer id="3763" name="__module.model.gpt_neox.layers.24.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>-1</dim>
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 			<output>
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 		</layer>
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-			<data axis="-2" />
+		<layer id="3764" name="__module.model.gpt_neox.layers.24.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522864" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3765" name="__module.model.gpt_neox.layers.24.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
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 					<dim>-1</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="3083,qkv.99">
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 		</layer>
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-		<layer id="6255" name="Constant_433320" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="3766" name="Constant_15835" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
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 		</layer>
-		<layer id="6256" name="Constant_433322" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="3767" name="Constant_15837" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
-		<layer id="6257" name="Constant_433324" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="3768" name="Constant_15839" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6258" name="Concat_433325" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="3769" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -88977,71 +58690,41 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
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-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
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-		<layer id="6260" name="ReadValue_417360" type="ReadValue" version="opset6">
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-			<input>
-				<port id="0" precision="FP32">
+				<port id="5" precision="FP32" names="3084">
 					<dim>-1</dim>
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-					<dim>80</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6261" name="Constant_402049" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="3770" name="Constant_15848" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64" names="3085">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6262" name="Gather_402050" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3771" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
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+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="3086,query.49">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -89049,80 +58732,53 @@
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 			</output>
 		</layer>
-		<layer id="6263" name="Constant_303759" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="3772" name="Constant_15889" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6264" name="Constant_303762" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="3773" name="Constant_15891" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6265" name="Constant_303765" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3774" name="Constant_15893" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3775" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>240</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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-				</port>
-			</input>
-			<output>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
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-		</layer>
-		<layer id="6267" name="Constant_15356" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="4208">
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-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4209">
+				<port id="5" precision="FP32" names="3093,q.49">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -89130,8 +58786,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6269" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_5" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="3776" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -89141,13 +58797,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.26.value">
+				<port id="2" precision="FP32" names="3099">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -89155,35 +58811,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6270" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="140833836" size="4194304" />
+		<layer id="3777" name="Constant_16047" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="BOOL" names="4286">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6271" name="Constant_303769" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028140" size="24" />
+		<layer id="3778" name="Constant_16049" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6272" name="Constant_303768" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="3779" name="Constant_16051" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6273" name="ShapeOf_340285" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3780" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -89191,133 +58843,95 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="6274" name="Constant_340286" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="6275" name="Constant_340287" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="6276" name="Gather_340288" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" />
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-		</layer>
-		<layer id="6277" name="Add_340289" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
 			</input>
 			<output>
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-		</layer>
-		<layer id="6278" name="ShapeOf_340356" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="5" precision="FP32" names="3109,x2.97">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
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-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6279" name="Constant_340357" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="6280" name="Constant_340358" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="3781" name="Constant_37098" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
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-		<layer id="6281" name="Gather_340359" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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-				<port id="2" precision="I64" />
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-			<output>
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 			</output>
 		</layer>
-		<layer id="6282" name="__module.model.gpt_neox.layers.26.attention/aten::sub/Subtract" type="Subtract" version="opset1">
+		<layer id="3782" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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@@ -89325,139 +58939,176 @@
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+		<layer id="3787" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat" type="Concat" version="opset1">
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+		<layer id="3788" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
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 				<port id="0" precision="I64">
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@@ -89465,186 +59116,251 @@
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 					<dim>1</dim>
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-				<port id="3" precision="I32">
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+		<layer id="3797" name="Constant_15866" type="Const" version="opset1">
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+		<layer id="3798" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
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+				</port>
+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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+				<port id="5" precision="FP32" names="3125,x2.99">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3808" name="Constant_37099" type="Const" version="opset1">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="3809" name="__module.model.gpt_neox.layers.24.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3126">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
-		<layer id="6308" name="Constant_268221" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3810" name="Constant_16087" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3811" name="Constant_16131" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="6310" name="Constant_268225" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3812" name="Constant_16133" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data axis="0" />
+		<layer id="3813" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
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 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -89655,53 +59371,71 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3120">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6312" name="Maximum_316862" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3814" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3128">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6313" name="__module.model.gpt_neox.layers.26.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="3815" name="__module.model.gpt_neox.layers.24.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4293">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3129">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6314" name="__module.model.gpt_neox.layers.26.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="3816" name="__module.model.gpt_neox.layers.24.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -89715,21 +59449,34 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3130,3134">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+			</output>
+		</layer>
+		<layer id="3817" name="__module.model.gpt_neox.layers.24.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4294,4295,sdpa_result.53,tensor.105">
+				<port id="2" precision="FP32" names="present.24.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -89737,683 +59484,535 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6315" name="Constant_15797" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" names="4296">
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-				</port>
-			</output>
-		</layer>
-		<layer id="6316" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="3818" name="ReadValue_49804" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.24.valuepresent.24.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
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+					<dim>0</dim>
 					<dim>80</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4297">
-					<dim>-1</dim>
+				<port id="1" precision="FP32" names="past_key_values.24.value">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6317" name="__module.model.gpt_neox.layers.26.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="3819" name="Constant_47476" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="3820" name="Gather_47477" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 					<dim>32</dim>
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 					<dim>80</dim>
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-					<dim>3</dim>
+				<port id="1" precision="I32">
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 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data destination_type="f16" />
-			<input>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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-			</input>
+		<layer id="3821" name="Constant_15871" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u4" shape="2560, 20, 1" offset="1453956292" size="25600" />
+		<layer id="3822" name="Constant_15873" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6322" name="Convert_450011" type="Convert" version="opset1">
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-			<input>
-				<port id="0" precision="U4">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>1</dim>
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-			</input>
+		<layer id="3823" name="Constant_15875" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="1" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6323" name="self.model.gpt_neox.layers.26.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3824" name="__module.model.gpt_neox.layers.24.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>2560</dim>
-					<dim>20</dim>
-					<dim>128</dim>
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+					<dim>240</dim>
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-					<dim>20</dim>
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-				<port id="0" precision="FP16">
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-					<dim>20</dim>
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-		<layer id="6325" name="self.model.gpt_neox.layers.26.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
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-				<port id="1" precision="FP16">
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-					<dim>20</dim>
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-					<dim>2560</dim>
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-					<dim>2560</dim>
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 					<dim>-1</dim>
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+		<layer id="3825" name="Constant_15884" type="Const" version="opset1">
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+		<layer id="3826" name="__module.model.gpt_neox.layers.24.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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 			<output>
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 		</layer>
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+		<layer id="3851" name="self.model.gpt_neox.layers.24.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 					<dim>2560</dim>
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 					<dim>2560</dim>
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-		<layer id="6358" name="Constant_450038" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="3852" name="Constant_177242" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
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 		</layer>
-		<layer id="6359" name="Reshape_450039" type="Reshape" version="opset1">
+		<layer id="3853" name="Reshape_177243" type="Reshape" version="opset1">
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 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
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@@ -90423,36 +60022,36 @@
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-					<dim>10240</dim>
+					<dim>2560</dim>
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 		</layer>
-		<layer id="6360" name="self.model.gpt_neox.layers.26.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3854" name="self.model.gpt_neox.layers.24.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
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+		<layer id="3855" name="__module.model.gpt_neox.layers.24.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 			<output>
@@ -90463,8 +60062,8 @@
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 		</layer>
-		<layer id="6362" name="Constant_325460" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1494020292" size="10240" />
+		<layer id="3856" name="Constant_37100" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -90473,7 +60072,7 @@
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 			</output>
 		</layer>
-		<layer id="6363" name="__module.model.gpt_neox.layers.26.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3857" name="__module.model.gpt_neox.layers.24.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90488,14 +60087,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4324,input.109">
+				<port id="2" precision="FP32" names="3151,3153,input.97">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6364" name="__module.model.gpt_neox.layers.26/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3858" name="__module.model.gpt_neox.layers.24/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90510,14 +60109,14 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4326,4328,hidden_states.55">
+				<port id="2" precision="FP32" names="3157,attn_output.199">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6365" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="3859" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -90525,7 +60124,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6366" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="3860" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90545,8 +60144,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6367" name="Constant_325461" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1494030532" size="10240" />
+		<layer id="3861" name="Constant_37101" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1126101192" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -90555,7 +60154,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6368" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="3862" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90577,8 +60176,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6369" name="Constant_325462" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1494040772" size="10240" />
+		<layer id="3863" name="Constant_37102" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1126111432" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -90587,7 +60186,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6370" name="__module.model.gpt_neox.layers.27.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="3864" name="__module.model.gpt_neox.layers.24.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90602,134 +60201,134 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4338">
+				<port id="2" precision="FP32" names="3161">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6371" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="1494051012" size="9830400" />
+		<layer id="3865" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="1126121672" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6372" name="Convert_450042" type="Convert" version="opset1">
+		<layer id="3866" name="Convert_176459" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6373" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="1503881412" size="76800" />
+		<layer id="3867" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="1139228872" size="102400" />
 			<output>
 				<port id="0" precision="U4">
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+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6374" name="Convert_450044" type="Convert" version="opset1">
+		<layer id="3868" name="Convert_176461" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6375" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="3869" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6376" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="1503958212" size="307200" />
+		<layer id="3870" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="1139331272" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6377" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="3871" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6378" name="Constant_450049" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="139492128" size="16" />
+		<layer id="3872" name="Constant_176466" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6379" name="Reshape_450050" type="Reshape" version="opset1">
+		<layer id="3873" name="Reshape_176467" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
@@ -90739,27 +60338,30 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6380" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="3874" name="__module.model.gpt_neox.layers.24.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6381" name="__module.model.gpt_neox.layers.27.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3875" name="__module.model.gpt_neox.layers.24.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -90768,7 +60370,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -90776,756 +60378,743 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6382" name="Constant_325463" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1504265412" size="30720" />
+		<layer id="3876" name="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1139740872" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.24.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6383" name="__module.model.gpt_neox.layers.27.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3877" name="__module.model.gpt_neox.layers.24.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
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-					<dim>-1</dim>
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-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>-1</dim>
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-		</layer>
-		<layer id="6384" name="__module.model.gpt_neox.layers.27.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6385" name="__module.model.gpt_neox.layers.27.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="3878" name="__module.model.gpt_neox.layers.24.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>10240</dim>
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-				<port id="1" precision="I64">
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+				<port id="1" precision="FP32">
+					<dim>10240</dim>
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 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3198,query.51">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6439" name="Constant_303899" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="3922" name="Constant_16519" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6440" name="Constant_303902" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3923" name="Constant_16521" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3924" name="Constant_16523" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6441" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3925" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91534,78 +61123,77 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4393,x2.109">
+				<port id="5" precision="FP32" names="3205,q.51">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6442" name="Constant_325464" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
-			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6443" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="3926" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4394">
+				<port id="2" precision="FP32" names="3211">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6444" name="Constant_303947" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3927" name="Constant_16677" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6445" name="Constant_303952" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3928" name="Constant_16679" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3929" name="Constant_16681" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6446" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3930" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91614,17 +61202,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4388">
+				<port id="5" precision="FP32" names="3221,x2.101">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91632,8 +61223,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6447" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="3931" name="Constant_37106" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3932" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91642,51 +61244,51 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4396">
+				<port id="2" precision="FP32" names="3222">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6448" name="self.model.gpt_neox.layers.27.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="3933" name="Constant_16574" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.27.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6449" name="__module.model.gpt_neox.layers.27.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="3934" name="Constant_16618" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6450" name="__module.model.gpt_neox.layers.27.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="3935" name="Constant_16620" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6451" name="__module.model.gpt_neox.layers.27.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3936" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -91698,60 +61300,45 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4373,4376,sin.109">
+				<port id="5" precision="FP32" names="3216">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6452" name="Constant_38392" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6453" name="__module.model.gpt_neox.layers.27.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="3937" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="4381">
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6454" name="__module.model.gpt_neox.layers.27.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
-			<input>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4382,sin.111">
+				<port id="2" precision="FP32" names="3224">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6455" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3938" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -91768,7 +61355,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4397">
+				<port id="2" precision="FP32" names="3225">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91776,7 +61363,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6456" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add" type="Add" version="opset1">
+		<layer id="3939" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -91793,7 +61380,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4398,4416,4426,query.165,query.167">
+				<port id="2" precision="FP32" names="3226,3244">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91801,28 +61388,47 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6457" name="Constant_15923" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="3940" name="ReadValue_49806" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.25.keypresent.25.key" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="4354">
-					<dim>4</dim>
+				<port id="1" precision="FP32" names="past_key_values.25.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6458" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3941" name="Constant_47479" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3942" name="Gather_47480" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4355,key.163">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91830,76 +61436,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6459" name="Constant_303998" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3943" name="Constant_16483" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6460" name="Constant_304001" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="3944" name="Constant_16485" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6461" name="Constant_304004" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3945" name="Constant_16487" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6462" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3946" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4361,k.55">
+				<port id="5" precision="FP32" names="3199">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6463" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3947" name="Constant_16496" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="3200">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3948" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4399">
+				<port id="2" precision="FP32" names="3201,key.101">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -91907,24 +61519,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6464" name="Constant_304008" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3949" name="Constant_16539" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6465" name="Constant_304007" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="3950" name="Constant_16541" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6466" name="__module.model.gpt_neox.layers.27.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="3951" name="Constant_16543" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3952" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -91932,119 +61551,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6467" name="__module.model.gpt_neox.layers.27.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6468" name="__module.model.gpt_neox.layers.27.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4400,4405" />
-			</output>
-		</layer>
-		<layer id="6469" name="__module.model.gpt_neox.layers.27.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6470" name="__module.model.gpt_neox.layers.27.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="4402,4403,4407,4408" />
-			</output>
-		</layer>
-		<layer id="6471" name="Constant_337858" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="3207,k.51">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6472" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="3953" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3227">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6473" name="Constant_304006" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3954" name="Constant_16820" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6474" name="ScatterUpdate_304009" type="ScatterUpdate" version="opset3">
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
 			</output>
 		</layer>
-		<layer id="6475" name="Constant_304012" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="3955" name="Constant_16822" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6476" name="Constant_304015" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3956" name="Constant_16824" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6477" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3957" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92053,17 +61631,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4409,x2.111">
+				<port id="5" precision="FP32" names="3237,x2.103">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92071,8 +61652,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6478" name="Constant_325465" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="3958" name="Constant_37107" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -92082,7 +61663,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6479" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="3959" name="__module.model.gpt_neox.layers.25.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92099,7 +61680,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4410">
+				<port id="2" precision="FP32" names="3238">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92107,24 +61688,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6480" name="Constant_304060" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3960" name="Constant_16717" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6481" name="Constant_304065" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3961" name="Constant_16761" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6482" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3962" name="Constant_16763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3963" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92133,17 +61721,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4404">
+				<port id="5" precision="FP32" names="3232">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92151,7 +61742,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6483" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="3964" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92168,7 +61759,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4412">
+				<port id="2" precision="FP32" names="3240">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92176,7 +61767,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6484" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="3965" name="__module.model.gpt_neox.layers.25.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92193,7 +61784,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4413">
+				<port id="2" precision="FP32" names="3241">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92201,7 +61792,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6485" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="3966" name="__module.model.gpt_neox.layers.25.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92218,7 +61809,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4414,4418">
+				<port id="2" precision="FP32" names="3242,3246">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92226,7 +61817,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6486" name="__module.model.gpt_neox.layers.27.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="3967" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92243,7 +61834,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.27.key">
+				<port id="2" precision="FP32" names="present.25.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92251,77 +61842,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6487" name="Constant_433353" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="6488" name="Constant_433346" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6489" name="Constant_433348" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6490" name="Constant_433350" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6491" name="Concat_433351" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6492" name="Broadcast_433354" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6493" name="ReadValue_417364" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.27.valuepresent.27.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="3968" name="ReadValue_49808" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.25.valuepresent.25.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92331,7 +61853,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.27.value">
+				<port id="1" precision="FP32" names="past_key_values.25.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92339,13 +61861,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6494" name="Constant_402055" type="Const" version="opset1">
+		<layer id="3969" name="Constant_47482" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6495" name="Gather_402056" type="Gather" version="opset8">
+		<layer id="3970" name="Gather_47483" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92368,32 +61890,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6496" name="Constant_304110" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="3971" name="Constant_16501" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6497" name="Constant_304113" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="3972" name="Constant_16503" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 		</layer>
-		<layer id="6498" name="Constant_304116" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="3973" name="Constant_16505" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6499" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3974" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92402,17 +61923,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3202">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -92420,15 +61944,15 @@
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 			</output>
 		</layer>
-		<layer id="6500" name="Constant_15937" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="3975" name="Constant_16514" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4357">
+				<port id="0" precision="I64" names="3203">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6501" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="3976" name="__module.model.gpt_neox.layers.25.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -92441,7 +61965,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4358">
+				<port id="2" precision="FP32" names="3204">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92449,7 +61973,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6502" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="3977" name="__module.model.gpt_neox.layers.25.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92466,7 +61990,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.27.value">
+				<port id="2" precision="FP32" names="present.25.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -92474,34 +61998,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6503" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_11" type="Const" version="opset1">
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-				<port id="0" precision="BOOL" names="4435">
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-					<dim>1</dim>
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-					<dim>2048</dim>
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-		<layer id="6504" name="Constant_304120" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="6505" name="Constant_304119" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="3978" name="Constant_16896" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6506" name="ShapeOf_340376" type="ShapeOf" version="opset3">
+		<layer id="3979" name="ShapeOf_40024" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92517,42 +62022,38 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6507" name="Constant_340377" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+		<layer id="3980" name="Constant_40025" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6508" name="Constant_340378" type="Const" version="opset1">
+		<layer id="3981" name="Constant_40026" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6509" name="Gather_340379" type="Gather" version="opset8">
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-			<output>
-				<port id="3" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6510" name="Add_340380" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="3982" name="Gather_40027" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64" names="4430" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6511" name="ShapeOf_340447" type="ShapeOf" version="opset3">
+		<layer id="3983" name="ShapeOf_40028" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -92568,75 +62069,68 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6512" name="Constant_340448" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+		<layer id="3984" name="Constant_40029" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6513" name="Constant_340449" type="Const" version="opset1">
+		<layer id="3985" name="Constant_40030" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6514" name="Gather_340450" type="Gather" version="opset8">
+		<layer id="3986" name="Gather_40031" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4428" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6515" name="__module.model.gpt_neox.layers.27.attention/aten::sub/Subtract" type="Subtract" version="opset1">
+		<layer id="3987" name="Add_40032" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
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-		<layer id="6516" name="Constant_337860" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6517" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="2" precision="I64" names="3251">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6518" name="Constant_304118" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="3988" name="Constant_16899" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6519" name="ScatterUpdate_304121" type="ScatterUpdate" version="opset3">
+		<layer id="3989" name="__module.model.gpt_neox.layers.25.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -92644,598 +62138,791 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6520" name="Constant_304122" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6521" name="Constant_337862" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="5" precision="FP32" names="3255">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6522" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="3990" name="__module.model.gpt_neox.layers.25.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="4" precision="FP32" names="3256,attn_output.201">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6523" name="ScatterUpdate_304123" type="ScatterUpdate" version="opset3">
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-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+		<layer id="3991" name="__module.model.gpt_neox.layers.25.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+			</output>
+		</layer>
+		<layer id="3992" name="__module.model.gpt_neox.layers.25.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="FP32" names="3257">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6524" name="Constant_304126" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028164" size="24" />
+		<layer id="3993" name="Constant_40560" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
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 				<port id="0" precision="I64">
 					<dim>3</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="3994" name="__module.model.gpt_neox.layers.25.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>3</dim>
 				</port>
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-				<port id="3" precision="I64">
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 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="4436">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3260">
 					<dim>-1</dim>
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+					<dim>-1</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6526" name="Constant_304199" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3995" name="self.model.gpt_neox.layers.25.attention.dense.weight" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
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 			</output>
 		</layer>
-		<layer id="6527" name="Constant_304200" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="3996" name="Convert_177246" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
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 			<output>
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-					<dim>4</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6528" name="Constant_304196" type="Const" version="opset1">
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+		<layer id="3997" name="self.model.gpt_neox.layers.25.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="1166928072" size="25600" />
 			<output>
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+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16">
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+					<dim>2560</dim>
 				</port>
+			</input>
+			<output>
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-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</output>
+		</layer>
+		<layer id="4025" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
+				<port id="1" precision="FP32">
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+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4443,4444,sdpa_result.55,tensor.109">
+				<port id="2" precision="FP32">
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 					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="6548" name="Constant_16378" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="4026" name="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1180705992" size="20480" />
 			<output>
-				<port id="0" precision="I64" names="4445">
-					<dim>4</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4027" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6549" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4028" name="__module.model.gpt_neox.layers.25.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4446">
+				<port id="2" precision="FP32" names="3278">
 					<dim>-1</dim>
 					<dim>-1</dim>
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-					<dim>80</dim>
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-			</output>
-		</layer>
-		<layer id="6550" name="__module.model.gpt_neox.layers.27.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6551" name="__module.model.gpt_neox.layers.27.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="4029" name="__module.model.gpt_neox.layers.25.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4451">
+				<port id="1" precision="FP32" names="3279">
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 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6552" name="self.model.gpt_neox.layers.27.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 128" offset="1504296132" size="3276800" />
+		<layer id="4030" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="1180726472" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6553" name="Convert_450053" type="Convert" version="opset1">
+		<layer id="4031" name="Convert_176489" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6554" name="self.model.gpt_neox.layers.27.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 1" offset="1507572932" size="25600" />
+		<layer id="4032" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="1193833672" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6555" name="Convert_450055" type="Convert" version="opset1">
+		<layer id="4033" name="Convert_176491" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6556" name="self.model.gpt_neox.layers.27.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4034" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
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 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6557" name="self.model.gpt_neox.layers.27.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="1507598532" size="102400" />
+		<layer id="4035" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="1193936072" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6558" name="self.model.gpt_neox.layers.27.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4036" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6559" name="Constant_450060" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="4037" name="Constant_176496" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6560" name="Reshape_450061" type="Reshape" version="opset1">
+		<layer id="4038" name="Reshape_176497" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>20</dim>
+					<dim>80</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -93245,36 +62932,39 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6561" name="self.model.gpt_neox.layers.27.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4039" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6562" name="__module.model.gpt_neox.layers.27.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4040" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
@@ -93285,17 +62975,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6563" name="Constant_325466" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1507700932" size="10240" />
+		<layer id="4041" name="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1194345672" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.25.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4042" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6564" name="__module.model.gpt_neox.layers.27.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4043" name="__module.model.gpt_neox.layers.25.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93304,20 +63008,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4454,4456,input.111">
+				<port id="2" precision="FP32" names="3282,input.103">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6565" name="__module.model.gpt_neox.layers.27/aten::add/Add" type="Add" version="opset1">
+		<layer id="4044" name="__module.model.gpt_neox.layers.25/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93332,14 +63034,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4460,attn_output.111">
+				<port id="2" precision="FP32" names="3284,3286,hidden_states.107">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6566" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4045" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -93347,7 +63049,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6567" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4046" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93367,8 +63069,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6568" name="Constant_325467" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1507711172" size="10240" />
+		<layer id="4047" name="Constant_37111" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1194350792" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -93377,7 +63079,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6569" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4048" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93399,8 +63101,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6570" name="Constant_325468" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1507721412" size="10240" />
+		<layer id="4049" name="Constant_37112" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1194361032" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -93409,7 +63111,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6571" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4050" name="__module.model.gpt_neox.layers.26.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -93424,134 +63126,134 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4464">
+				<port id="2" precision="FP32" names="3296,hidden_states.105">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6572" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 128" offset="1507731652" size="13107200" />
+		<layer id="4051" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 128" offset="1194371272" size="9830400" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
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 				<port id="0" precision="U4">
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 			<output>
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 					<dim>20</dim>
 					<dim>128</dim>
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 		</layer>
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+		<layer id="4053" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4054" name="Convert_176907" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
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 		</layer>
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+		<layer id="4055" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="1" precision="FP16">
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 			<output>
 				<port id="2" precision="FP16">
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 					<dim>128</dim>
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 		</layer>
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-			<data element_type="f16" shape="10240, 20, 1" offset="1520941252" size="409600" />
+		<layer id="4056" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="1204278472" size="307200" />
 			<output>
 				<port id="0" precision="FP16">
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+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4057" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>7680</dim>
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 					<dim>128</dim>
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 				<port id="1" precision="FP16">
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 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
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+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>128</dim>
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 		</layer>
-		<layer id="6579" name="Constant_450071" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="162082980" size="16" />
+		<layer id="4058" name="Constant_176912" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="139492128" size="16" />
 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="6580" name="Reshape_450072" type="Reshape" version="opset1">
+		<layer id="4059" name="Reshape_176913" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
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+					<dim>7680</dim>
 					<dim>20</dim>
 					<dim>128</dim>
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@@ -93561,27 +63263,27 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6581" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4060" name="self.model.gpt_neox.layers.26.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
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 					<dim>2560</dim>
 				</port>
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 			<output>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
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 		</layer>
-		<layer id="6582" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4061" name="__module.model.gpt_neox.layers.26.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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@@ -93590,7 +63292,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>10240</dim>
+					<dim>7680</dim>
 					<dim>2560</dim>
 				</port>
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@@ -93598,634 +63300,979 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>7680</dim>
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 		</layer>
-		<layer id="6583" name="Constant_325469" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1521350852" size="40960" />
+		<layer id="4062" name="Constant_37113" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4063" name="__module.model.gpt_neox.layers.26.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>7680</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>7680</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3303,qkv.105">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4064" name="__module.model.gpt_neox.layers.26.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522864" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4065" name="__module.model.gpt_neox.layers.26.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3307,qkv.107">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
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+			</output>
+		</layer>
+		<layer id="4066" name="Constant_17095" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="4067" name="Constant_17097" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		</layer>
+		<layer id="4068" name="Constant_17099" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4069" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
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+					<dim>240</dim>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
+					<dim>1</dim>
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+			</input>
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+				<port id="5" precision="FP32" names="3308">
+					<dim>-1</dim>
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+					<dim>80</dim>
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+		<layer id="4070" name="Constant_17108" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64" names="3309">
+					<dim>4</dim>
+				</port>
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+		</layer>
+		<layer id="4071" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>80</dim>
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+				<port id="1" precision="I64">
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+			<output>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+		<layer id="4072" name="Constant_17149" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64">
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+				<port id="0" precision="I64">
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+		</layer>
+		<layer id="4074" name="Constant_17153" type="Const" version="opset1">
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+				<port id="0" precision="I64">
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+		</layer>
+		<layer id="4075" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3317,q.53">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+			</output>
+		</layer>
+		<layer id="4076" name="__module.model.gpt_neox.layers.26.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+				<port id="1" precision="FP32">
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+					<dim>-1</dim>
+					<dim>80</dim>
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+			<output>
+				<port id="2" precision="FP32" names="3323">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4077" name="Constant_17307" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
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+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="4078" name="Constant_17309" type="Const" version="opset1">
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+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4079" name="Constant_17311" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4080" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_2" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
+					<dim>1</dim>
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+			<output>
+				<port id="5" precision="FP32" names="3333,x2.105">
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+					<dim>40</dim>
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+		<layer id="4081" name="Constant_37114" type="Const" version="opset1">
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+					<dim>1</dim>
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+					<dim>1</dim>
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+		<layer id="4082" name="__module.model.gpt_neox.layers.26.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>1</dim>
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+				<port id="2" precision="FP32" names="3334">
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+					<dim>-1</dim>
+					<dim>40</dim>
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+		<layer id="4083" name="Constant_17204" type="Const" version="opset1">
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+		<layer id="4085" name="Constant_17250" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
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+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="4086" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_3" type="Slice" version="opset8">
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+		<layer id="4123" name="Constant_17135" type="Const" version="opset1">
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 				<port id="0" precision="I64">
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+		<layer id="4124" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_10" type="Slice" version="opset8">
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@@ -94234,17 +64281,20 @@
 					<dim>240</dim>
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 				<port id="1" precision="I64">
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 					<dim>-1</dim>
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@@ -94252,15 +64302,15 @@
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+		<layer id="4125" name="Constant_17144" type="Const" version="opset1">
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 			<output>
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+		<layer id="4126" name="__module.model.gpt_neox.layers.26.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
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@@ -94272,41 +64322,17 @@
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+					<dim>-1</dim>
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 		</layer>
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+		<layer id="4127" name="__module.model.gpt_neox.layers.26.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
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 				<port id="0" precision="FP32">
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@@ -94314,35 +64340,23 @@
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 					<dim>80</dim>
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 					<dim>32</dim>
 					<dim>-1</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="present.26.value">
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+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
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 		</layer>
-		<layer id="6632" name="__module.model.gpt_neox.layers.28.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="4128" name="Constant_17526" type="Const" version="opset1">
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@@ -94350,65 +64364,60 @@
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 			</output>
 		</layer>
-		<layer id="6633" name="Constant_304235" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="4129" name="ShapeOf_40097" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6634" name="Constant_304238" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="4130" name="Constant_40098" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6635" name="Constant_304241" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4131" name="Constant_40099" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6636" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4132" name="Gather_40100" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
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-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6637" name="ShapeOf_340457" type="ShapeOf" version="opset3">
+		<layer id="4133" name="ShapeOf_40101" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
@@ -94418,21 +64427,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6638" name="Constant_341054" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4134" name="Constant_40102" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6639" name="Constant_340459" type="Const" version="opset1">
+		<layer id="4135" name="Constant_40103" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6640" name="Gather_340460" type="Gather" version="opset8">
+		<layer id="4136" name="Gather_40104" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -94444,46 +64453,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4512">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6641" name="Constant_433366" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="6642" name="Constant_433359" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
+		<layer id="4137" name="Add_40105" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6643" name="Constant_433361" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="3363">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6644" name="Constant_433363" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="4138" name="Constant_17529" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6645" name="Concat_433364" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="4139" name="__module.model.gpt_neox.layers.26.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -94494,42 +64499,49 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3367">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6646" name="Broadcast_433367" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4140" name="__module.model.gpt_neox.layers.26.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6647" name="ReadValue_417366" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.28.keypresent.28.key" variable_type="f32" variable_shape="?,32,?,80" />
-			<input>
-				<port id="0" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.28.key">
+				<port id="4" precision="FP32" names="3368,attn_output.209">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -94537,14 +64549,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6648" name="Constant_402058" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="4141" name="__module.model.gpt_neox.layers.26.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6649" name="Gather_402059" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4142" name="__module.model.gpt_neox.layers.26.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -94553,981 +64566,1239 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I32">
-					<dim>-1</dim>
+					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32" names="3369">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6650" name="ShapeOf_340462" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4143" name="Constant_40561" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4144" name="__module.model.gpt_neox.layers.26.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6651" name="Constant_340463" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="FP32" names="3372">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>2560</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6652" name="Constant_340464" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="4145" name="self.model.gpt_neox.layers.26.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="1204616392" size="3276800" />
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6653" name="Gather_340465" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4146" name="Convert_177257" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4514" />
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6654" name="Constant_337864" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4147" name="self.model.gpt_neox.layers.26.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="1207893192" size="25600" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6655" name="Reshape_340961" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="4148" name="Convert_177259" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4149" name="self.model.gpt_neox.layers.26.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="4513,4517,4518,seq_len.113">
-					<dim>1</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4150" name="self.model.gpt_neox.layers.26.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="1207918792" size="102400" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4151" name="self.model.gpt_neox.layers.26.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
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 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
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-				<port id="1" precision="I64">
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+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
+			</output>
+		</layer>
+		<layer id="4152" name="Constant_177264" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
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+				<port id="0" precision="I64">
+					<dim>2</dim>
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+			</output>
+		</layer>
+		<layer id="4153" name="Reshape_177265" type="Reshape" version="opset1">
+			<data special_zero="false" />
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+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
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+				<port id="1" precision="I64">
+					<dim>2</dim>
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 			</input>
 			<output>
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-					<dim>80</dim>
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+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6659" name="Constant_38395" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="4154" name="self.model.gpt_neox.layers.26.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
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+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>2560</dim>
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 			<output>
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+					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="4155" name="__module.model.gpt_neox.layers.26.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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 				<port id="0" precision="FP32">
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+					<dim>20</dim>
+					<dim>1</dim>
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 		</layer>
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+		<layer id="4205" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
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+				<port id="0" precision="FP16">
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+					<dim>7680</dim>
+					<dim>20</dim>
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+					<dim>20</dim>
+					<dim>128</dim>
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 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
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+			<data element_type="f16" shape="7680, 20, 1" offset="1245243592" size="307200" />
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+					<dim>20</dim>
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-				<port id="1" precision="I64">
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+					<dim>20</dim>
+					<dim>128</dim>
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+				<port id="1" precision="FP16">
+					<dim>7680</dim>
+					<dim>20</dim>
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 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="2" precision="FP16">
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>128</dim>
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 			</output>
 		</layer>
-		<layer id="6708" name="Constant_304357" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4208" name="Constant_176923" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="139492128" size="16" />
 			<output>
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-					<dim>1</dim>
+				<port id="0" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6709" name="ScatterUpdate_304360" type="ScatterUpdate" version="opset3">
+		<layer id="4209" name="Reshape_176924" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+					<dim>20</dim>
+					<dim>128</dim>
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 				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I32">
-					<dim>1</dim>
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP16">
+					<dim>7680</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="4210" name="self.model.gpt_neox.layers.27.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+					<dim>2560</dim>
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-		</layer>
-		<layer id="6711" name="Constant_304366" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4211" name="__module.model.gpt_neox.layers.27.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>2560</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="4212" name="Constant_37121" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="6714" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4213" name="__module.model.gpt_neox.layers.27.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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-					<dim>1</dim>
+					<dim>7680</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4559">
+				<port id="2" precision="FP32" names="3415,qkv.109">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>7680</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4214" name="__module.model.gpt_neox.layers.27.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522864" size="32" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4215" name="__module.model.gpt_neox.layers.27.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>7680</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3419,qkv.111">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4216" name="Constant_17725" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4217" name="Constant_17727" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="6716" name="Constant_304416" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4218" name="Constant_17729" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4219" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
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 				</port>
 				<port id="2" precision="I64">
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 				</port>
 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3420">
 					<dim>-1</dim>
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 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data axis="-1" />
+		<layer id="4220" name="Constant_17738" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="3421">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4221" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3422,query.55">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95535,33 +65806,31 @@
 				</port>
 			</output>
 		</layer>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+		<layer id="4222" name="Constant_17779" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="4223" name="Constant_17781" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="4224" name="Constant_17783" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
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-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6720" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add_1" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4225" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -95569,15 +65838,21 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4563,4567">
+				<port id="5" precision="FP32" names="3429,q.55">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95585,8 +65860,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6721" name="__module.model.gpt_neox.layers.28.attention/aten::to/Convert_1" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="4226" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -95596,13 +65871,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.28.key">
+				<port id="2" precision="FP32" names="3435">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -95610,41 +65885,37 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6722" name="Constant_433379" type="Const" version="opset1">
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-				<port id="0" precision="FP32" />
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-		<layer id="6723" name="Constant_433372" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
+		<layer id="4227" name="Constant_17937" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
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+		<layer id="4231" name="Constant_37122" type="Const" version="opset1">
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 		</layer>
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 		</layer>
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 					<dim>-1</dim>
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 					<dim>32</dim>
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@@ -95808,8 +66054,8 @@
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 		</layer>
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+		<layer id="4238" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
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@@ -95819,13 +66065,13 @@
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 					<dim>32</dim>
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@@ -95833,35 +66079,8 @@
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@@ -95869,273 +66088,184 @@
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 					<dim>80</dim>
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+		<layer id="4240" name="ReadValue_49814" type="ReadValue" version="opset6">
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+				<port id="5" precision="FP32" names="3423">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="3" offset="145028164" size="24" />
+		<layer id="4247" name="Constant_17756" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64">
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+				<port id="0" precision="I64" names="3424">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 0" end_mask="1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4248" name="__module.model.gpt_neox.layers.27.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
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-					<dim>1</dim>
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-					<dim>2048</dim>
+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
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-				<port id="2" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
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 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="4585">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3425,key.109">
 					<dim>-1</dim>
-					<dim>2048</dim>
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-		<layer id="6761" name="Constant_304550" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6762" name="Constant_304551" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4249" name="Constant_17799" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6763" name="Constant_304547" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="4250" name="Constant_17801" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6764" name="Constant_304546" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4251" name="Constant_17803" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6765" name="ScatterUpdate_304552" type="ScatterUpdate" version="opset3">
+		<layer id="4252" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -96143,186 +66273,168 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6766" name="Constant_304555" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3431,k.55">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6767" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4253" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="4586,4587">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3451">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6768" name="__module.model.gpt_neox.layers.28.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
+		<layer id="4254" name="Constant_18080" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="6769" name="__module.model.gpt_neox.layers.28.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="145028188" size="4" />
+		<layer id="4255" name="Constant_18082" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="4574" />
-			</output>
-		</layer>
-		<layer id="6770" name="__module.model.gpt_neox.layers.28.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-			</input>
+			</output>
+		</layer>
+		<layer id="4256" name="Constant_18084" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="3" precision="FP32" names="4588,causal_mask.113">
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6771" name="Add_317004" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4257" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
 					<dim>1</dim>
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 				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
+				<port id="3" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6772" name="ShapeOf_317005" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3461,x2.111">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6773" name="Constant_340544" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4258" name="Constant_37123" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6774" name="Constant_340545" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6775" name="Gather_340546" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4259" name="__module.model.gpt_neox.layers.27.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4572">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3462">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6776" name="Constant_268241" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4260" name="Constant_17977" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6777" name="Constant_268243" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4261" name="Constant_18021" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6778" name="Constant_268245" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4262" name="Constant_18023" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6779" name="__module.model.gpt_neox.layers.28.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="4263" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -96333,53 +66445,71 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4589">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3456">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6780" name="Maximum_317006" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4264" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3464">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6781" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4265" name="__module.model.gpt_neox.layers.27.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4591">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3465">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6782" name="__module.model.gpt_neox.layers.28.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="4266" name="__module.model.gpt_neox.layers.27.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -96393,21 +66523,34 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3466,3470">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
+			</output>
+		</layer>
+		<layer id="4267" name="__module.model.gpt_neox.layers.27.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4592,4593,sdpa_result.57,tensor.113">
+				<port id="2" precision="FP32" names="present.27.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -96415,723 +66558,535 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6783" name="Constant_16959" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
-			<output>
-				<port id="0" precision="I64" names="4594">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6784" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4268" name="ReadValue_49816" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.27.valuepresent.27.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
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+		<layer id="4287" name="Add_40178" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="0" precision="I64">
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 				</port>
-				<port id="1" precision="FP16">
-					<dim>10240</dim>
-					<dim>20</dim>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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-					<dim>10240</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="2" precision="I64" names="3475">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6814" name="Constant_450115" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="162082980" size="16" />
+		<layer id="4288" name="Constant_18159" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="6815" name="Reshape_450116" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="4289" name="__module.model.gpt_neox.layers.27.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>20</dim>
-					<dim>128</dim>
+				<port id="0" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
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+					<dim>1</dim>
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-			<output>
-				<port id="2" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6816" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
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-			<input>
-				<port id="0" precision="FP16">
-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="3" precision="I64">
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+				</port>
+				<port id="4" precision="I64">
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 				</port>
 			</input>
 			<output>
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-					<dim>10240</dim>
-					<dim>2560</dim>
+				<port id="5" precision="FP32" names="3479">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data transpose_a="false" transpose_b="true" />
+		<layer id="4290" name="__module.model.gpt_neox.layers.27.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
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 				<port id="1" precision="FP32">
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-					<dim>2560</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="3" precision="FP32">
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+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="4" precision="FP32" names="3480,attn_output.217">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 10240" offset="1562341572" size="40960" />
+		<layer id="4291" name="__module.model.gpt_neox.layers.27.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6819" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4292" name="__module.model.gpt_neox.layers.27.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
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-					<dim>1</dim>
-					<dim>10240</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3481">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6820" name="__module.model.gpt_neox.layers.28.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
-			<data approximation_mode="ERF" />
+		<layer id="4293" name="Constant_40562" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4294" name="__module.model.gpt_neox.layers.27.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>10240</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3484">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="u4" shape="2560, 80, 128" offset="1562382532" size="13107200" />
+		<layer id="4295" name="self.model.gpt_neox.layers.27.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="1245581512" size="3276800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6822" name="Convert_450119" type="Convert" version="opset1">
+		<layer id="4296" name="Convert_177268" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
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 					<dim>128</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6823" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 1" offset="1575489732" size="102400" />
+		<layer id="4297" name="self.model.gpt_neox.layers.27.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="1248858312" size="25600" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6824" name="Convert_450121" type="Convert" version="opset1">
+		<layer id="4298" name="Convert_177270" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
-					<dim>80</dim>
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 					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6825" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4299" name="self.model.gpt_neox.layers.27.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
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 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
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 					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="2560, 80, 1" offset="1575592132" size="409600" />
+		<layer id="4300" name="self.model.gpt_neox.layers.27.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="1248883912" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6827" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4301" name="self.model.gpt_neox.layers.27.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
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 					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6828" name="Constant_450126" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="4302" name="Constant_177275" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6829" name="Reshape_450127" type="Reshape" version="opset1">
+		<layer id="4303" name="Reshape_177276" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>80</dim>
+					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -97141,36 +67096,36 @@
 			<output>
 				<port id="2" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6830" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4304" name="self.model.gpt_neox.layers.27.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6831" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4305" name="__module.model.gpt_neox.layers.27.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>2560</dim>
-					<dim>10240</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
@@ -97181,8 +67136,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6832" name="Constant_325480" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1576001732" size="10240" />
+		<layer id="4306" name="Constant_37124" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1248986312" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -97191,7 +67146,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6833" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4307" name="__module.model.gpt_neox.layers.27.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97206,14 +67161,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4622,input.117">
+				<port id="2" precision="FP32" names="3487,3489,input.109">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6834" name="__module.model.gpt_neox.layers.28/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4308" name="__module.model.gpt_neox.layers.27/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97228,14 +67183,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4624,4626,hidden_states.59">
+				<port id="2" precision="FP32" names="3493,attn_output.223">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="6835" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4309" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -97243,7 +67198,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6836" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4310" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97263,8 +67218,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6837" name="Constant_325481" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1576011972" size="10240" />
+		<layer id="4311" name="Constant_37125" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1248996552" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -97273,7 +67228,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6838" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4312" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97295,8 +67250,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6839" name="Constant_325482" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1576022212" size="10240" />
+		<layer id="4313" name="Constant_37126" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1249006792" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -97305,7 +67260,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6840" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4314" name="__module.model.gpt_neox.layers.27.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97320,134 +67275,134 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4636">
+				<port id="2" precision="FP32" names="3497">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6841" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="1576032452" size="9830400" />
+		<layer id="4315" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="1249017032" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6842" name="Convert_450130" type="Convert" version="opset1">
+		<layer id="4316" name="Convert_176519" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6843" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="1585862852" size="76800" />
+		<layer id="4317" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="1262124232" size="102400" />
 			<output>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6844" name="Convert_450132" type="Convert" version="opset1">
+		<layer id="4318" name="Convert_176521" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6845" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4319" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6846" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="1585939652" size="307200" />
+		<layer id="4320" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="1262226632" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6847" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4321" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 				<port id="1" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6848" name="Constant_450137" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="139492128" size="16" />
+		<layer id="4322" name="Constant_176526" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6849" name="Reshape_450138" type="Reshape" version="opset1">
+		<layer id="4323" name="Reshape_176527" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>20</dim>
 					<dim>128</dim>
 				</port>
@@ -97457,27 +67412,30 @@
 			</input>
 			<output>
 				<port id="2" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6850" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4324" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6851" name="__module.model.gpt_neox.layers.29.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4325" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -97486,7 +67444,7 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>7680</dim>
+					<dim>10240</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
@@ -97494,756 +67452,743 @@
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6852" name="Constant_325483" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1586246852" size="30720" />
+		<layer id="4326" name="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1262636232" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.27.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4327" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6853" name="__module.model.gpt_neox.layers.29.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4328" name="__module.model.gpt_neox.layers.27.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>7680</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4643,qkv.117">
+				<port id="2" precision="FP32" names="3502">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6854" name="__module.model.gpt_neox.layers.29.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522864" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6855" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="4329" name="__module.model.gpt_neox.layers.27.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>7680</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4647,qkv.119">
+				<port id="1" precision="FP32" names="3503">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6856" name="Constant_304562" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4330" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="1262656712" size="13107200" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6857" name="Constant_304565" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="4331" name="Convert_176529" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>128</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6858" name="Constant_304568" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4332" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="1275763912" size="102400" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6859" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4333" name="Convert_176531" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>240</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+			</output>
+		</layer>
+		<layer id="4334" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>128</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4648">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
 					<dim>80</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6860" name="Constant_17071" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="4335" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="1275866312" size="409600" />
 			<output>
-				<port id="0" precision="I64" names="4649">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6861" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="4336" name="self.model.gpt_neox.layers.27.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
 					<dim>80</dim>
+					<dim>128</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4650,query.175">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
 					<dim>80</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6862" name="Constant_304574" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4337" name="Constant_176536" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
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 			</output>
 		</layer>
-		<layer id="6863" name="Constant_304577" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="4338" name="Reshape_176537" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>80</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6864" name="Constant_304580" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4339" name="__module.model.gpt_neox.layers.27.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
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-			<data auto_broadcast="numpy" />
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+		<layer id="4362" name="Constant_37129" type="Const" version="opset1">
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-			<data output_type="i64" />
+		<layer id="4363" name="__module.model.gpt_neox.layers.28.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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+				<port id="1" precision="FP32">
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+				<port id="2" precision="FP32" names="3527,qkv.113">
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+					<dim>-1</dim>
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-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="4364" name="__module.model.gpt_neox.layers.28.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522864" size="32" />
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+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
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-			<data batch_dims="0" />
+		<layer id="4365" name="__module.model.gpt_neox.layers.28.attention/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
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+				<port id="0" precision="FP32">
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+					<dim>-1</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="3531,qkv.115">
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+					<dim>-1</dim>
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+					<dim>240</dim>
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 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="4366" name="Constant_18355" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
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+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
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-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="4367" name="Constant_18357" type="Const" version="opset1">
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 			<output>
-				<port id="1" precision="I64" names="4684,4685,4689,4690" />
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+					<dim>1</dim>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4368" name="Constant_18359" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
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-			<data special_zero="false" />
+		<layer id="4369" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
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+					<dim>240</dim>
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 				<port id="2" precision="I64">
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 				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
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+					<dim>80</dim>
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 		</layer>
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-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4370" name="Constant_18368" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I32">
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+				<port id="0" precision="I64" names="3533">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6908" name="ScatterUpdate_304598" type="ScatterUpdate" version="opset3">
+		<layer id="4371" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
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-					<dim>1</dim>
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-				<port id="3" precision="I32">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3534,query.57">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="4372" name="Constant_18409" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6910" name="Constant_304604" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4373" name="Constant_18411" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4374" name="Constant_18413" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6911" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4375" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98252,78 +68197,77 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
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+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3541,q.57">
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 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
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-		<layer id="6912" name="Constant_325484" type="Const" version="opset1">
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6913" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+		<layer id="4376" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
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+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3547">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6914" name="Constant_304649" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4377" name="Constant_18567" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6915" name="Constant_304654" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4378" name="Constant_18569" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4379" name="Constant_18571" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6916" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4380" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98332,17 +68276,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4686">
+				<port id="5" precision="FP32" names="3557,x2.113">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98350,8 +68297,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6917" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="4381" name="Constant_37130" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4382" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98360,51 +68318,51 @@
 					<dim>40</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4694">
+				<port id="2" precision="FP32" names="3558">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6918" name="self.model.gpt_neox.layers.29.attention.rotary_emb.sin_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="4383" name="Constant_18464" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.29.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6919" name="__module.model.gpt_neox.layers.29.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4384" name="Constant_18508" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6920" name="__module.model.gpt_neox.layers.29.attention.rotary_emb/aten::slice/Unsqueeze_6" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4385" name="Constant_18510" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6921" name="__module.model.gpt_neox.layers.29.attention.rotary_emb/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4386" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -98416,60 +68374,70 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4671,4674,sin.117">
+				<port id="5" precision="FP32" names="3552">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6922" name="Constant_38404" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6923" name="__module.model.gpt_neox.layers.29.attention/aten::index/Gather_1" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4387" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4679">
+				<port id="2" precision="FP32" names="3560">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6924" name="__module.model.gpt_neox.layers.29.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="4388" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4680,sin.119">
+				<port id="2" precision="FP32" names="3561">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6925" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4389" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98480,13 +68448,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4695">
+				<port id="2" precision="FP32" names="3562,3580">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98494,24 +68462,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6926" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4390" name="ReadValue_49818" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.28.keypresent.28.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4696,4714,4724,query.177,query.179">
+				<port id="1" precision="FP32" names="past_key_values.28.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98519,28 +68481,28 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6927" name="Constant_17085" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="4391" name="Constant_47497" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="4652">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6928" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="4392" name="Gather_47498" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4653,key.175">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98548,76 +68510,82 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6929" name="Constant_304700" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4393" name="Constant_18373" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6930" name="Constant_304703" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="4394" name="Constant_18375" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6931" name="Constant_304706" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4395" name="Constant_18377" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6932" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4396" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>80</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4659,k.59">
+				<port id="5" precision="FP32" names="3535">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6933" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4397" name="Constant_18386" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="3536">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4398" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4697">
+				<port id="2" precision="FP32" names="3537,key.113">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98625,24 +68593,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6934" name="Constant_304710" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4399" name="Constant_18429" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6935" name="Constant_304709" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="4400" name="Constant_18431" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6936" name="__module.model.gpt_neox.layers.29.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4401" name="Constant_18433" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4402" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_6" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98650,119 +68625,78 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="6937" name="__module.model.gpt_neox.layers.29.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="6938" name="__module.model.gpt_neox.layers.29.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="4698,4703" />
-			</output>
-		</layer>
-		<layer id="6939" name="__module.model.gpt_neox.layers.29.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6940" name="__module.model.gpt_neox.layers.29.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
 			</input>
 			<output>
-				<port id="1" precision="I64" names="4700,4701,4705,4706" />
-			</output>
-		</layer>
-		<layer id="6941" name="Constant_337878" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="5" precision="FP32" names="3543,k.57">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6942" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Unsqueeze_33" type="Reshape" version="opset1">
-			<data special_zero="false" />
+		<layer id="4403" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3563">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6943" name="Constant_304708" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4404" name="Constant_18710" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
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-		</layer>
-		<layer id="6944" name="ScatterUpdate_304711" type="ScatterUpdate" version="opset3">
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 				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
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-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="6945" name="Constant_304714" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="4405" name="Constant_18712" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6946" name="Constant_304717" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4406" name="Constant_18714" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6947" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4407" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98771,17 +68705,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4707,x2.119">
+				<port id="5" precision="FP32" names="3573,x2.115">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98789,8 +68726,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6948" name="Constant_325485" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="4408" name="Constant_37131" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -98800,7 +68737,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6949" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+		<layer id="4409" name="__module.model.gpt_neox.layers.28.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98817,7 +68754,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4708">
+				<port id="2" precision="FP32" names="3574">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98825,24 +68762,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6950" name="Constant_304762" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4410" name="Constant_18607" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6951" name="Constant_304767" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4411" name="Constant_18651" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4412" name="Constant_18653" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6952" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4413" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -98851,17 +68795,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4702">
+				<port id="5" precision="FP32" names="3568">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98869,7 +68816,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6953" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+		<layer id="4414" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat_2" type="Concat" version="opset1">
 			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98886,7 +68833,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4710">
+				<port id="2" precision="FP32" names="3576">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98894,7 +68841,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6954" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+		<layer id="4415" name="__module.model.gpt_neox.layers.28.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98911,7 +68858,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4711">
+				<port id="2" precision="FP32" names="3577">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98919,7 +68866,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6955" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4416" name="__module.model.gpt_neox.layers.28.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98936,7 +68883,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4712,4716">
+				<port id="2" precision="FP32" names="3578,3582">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98944,7 +68891,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6956" name="__module.model.gpt_neox.layers.29.attention/aten::to/Convert_1" type="Concat" version="opset1">
+		<layer id="4417" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat_4" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -98961,7 +68908,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.29.key">
+				<port id="2" precision="FP32" names="present.28.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -98969,77 +68916,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6957" name="Constant_433405" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="6958" name="Constant_433398" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="12" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6959" name="Constant_433400" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6960" name="Constant_433402" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="20" size="8" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6961" name="Concat_433403" type="Concat" version="opset1">
-			<data axis="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6962" name="Broadcast_433406" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32" />
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>0</dim>
-					<dim>80</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6963" name="ReadValue_417372" type="ReadValue" version="opset6">
-			<data variable_id="past_key_values.29.valuepresent.29.value" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="4418" name="ReadValue_49820" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.28.valuepresent.28.value" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99049,7 +68927,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.29.value">
+				<port id="1" precision="FP32" names="past_key_values.28.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99057,13 +68935,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6964" name="Constant_402067" type="Const" version="opset1">
+		<layer id="4419" name="Constant_47500" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="6965" name="Gather_402068" type="Gather" version="opset8">
+		<layer id="4420" name="Gather_47501" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99086,32 +68964,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6966" name="Constant_304812" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="4421" name="Constant_18391" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6967" name="Constant_304815" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+		<layer id="4422" name="Constant_18393" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6968" name="Constant_304818" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4423" name="Constant_18395" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6969" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_10" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4424" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99120,17 +68997,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4654">
+				<port id="5" precision="FP32" names="3538">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -99138,15 +69018,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6970" name="Constant_17099" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="4425" name="Constant_18404" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4655">
+				<port id="0" precision="I64" names="3539">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6971" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="4426" name="__module.model.gpt_neox.layers.28.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99159,7 +69039,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4656">
+				<port id="2" precision="FP32" names="3540">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99167,7 +69047,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6972" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+		<layer id="4427" name="__module.model.gpt_neox.layers.28.attention/aten::cat/Concat_5" type="Concat" version="opset1">
 			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99184,7 +69064,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.29.value">
+				<port id="2" precision="FP32" names="present.28.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99192,34 +69072,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6973" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_11" type="Const" version="opset1">
-			<data element_type="boolean" shape="1, 1, 2048, 2048" offset="140833836" size="4194304" />
-			<output>
-				<port id="0" precision="BOOL" names="4733">
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-					<dim>1</dim>
-					<dim>2048</dim>
-					<dim>2048</dim>
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-			</output>
-		</layer>
-		<layer id="6974" name="Constant_304822" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028140" size="24" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="6975" name="Constant_304821" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="4428" name="Constant_18786" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6976" name="ShapeOf_340558" type="ShapeOf" version="opset3">
+		<layer id="4429" name="ShapeOf_40243" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99235,263 +69096,22 @@
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 			</output>
 		</layer>
-		<layer id="6977" name="Constant_340559" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="6978" name="Constant_340560" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="4430" name="Constant_40244" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="6979" name="Gather_340561" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
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-			<output>
-				<port id="3" precision="I64" />
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-		</layer>
-		<layer id="6980" name="Add_340562" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
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-			<output>
-				<port id="2" precision="I64" names="4728" />
-			</output>
-		</layer>
-		<layer id="6981" name="ShapeOf_340629" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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 		</layer>
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-		<layer id="6996" name="Constant_304901" type="Const" version="opset1">
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-		<layer id="6997" name="Constant_304902" type="Const" version="opset1">
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-		<layer id="6998" name="Constant_304898" type="Const" version="opset1">
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-				<port id="0" precision="I64">
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-		<layer id="6999" name="Constant_304897" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I32">
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-		</layer>
-		<layer id="7000" name="ScatterUpdate_304903" type="ScatterUpdate" version="opset3">
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
@@ -99499,121 +69119,22 @@
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
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-				<port id="3" precision="I32">
-					<dim>1</dim>
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+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-		<layer id="7001" name="Constant_304906" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-		<layer id="7002" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
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-				<port id="2" precision="I64">
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 				<port id="3" precision="I64">
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-					<dim>-1</dim>
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-		<layer id="7003" name="__module.model.gpt_neox.layers.29.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
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-		<layer id="7004" name="__module.model.gpt_neox.layers.29.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="145028188" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="4723" />
-			</output>
-		</layer>
-		<layer id="7005" name="__module.model.gpt_neox.layers.29.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
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-				<port id="0" precision="BOOL">
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 					<dim>1</dim>
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-					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7007" name="ShapeOf_317077" type="ShapeOf" version="opset3">
+		<layer id="4433" name="ShapeOf_40247" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
@@ -99622,21 +69143,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7008" name="Constant_340635" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4434" name="Constant_40248" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7009" name="Constant_340636" type="Const" version="opset1">
+		<layer id="4435" name="Constant_40249" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7010" name="Gather_340637" type="Gather" version="opset8">
+		<layer id="4436" name="Gather_40250" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -99648,40 +69169,42 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4721">
+				<port id="3" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="7011" name="Constant_268251" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
+		<layer id="4437" name="Add_40251" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7012" name="Constant_268253" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
+				<port id="2" precision="I64" names="3587">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7013" name="Constant_268255" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4438" name="Constant_18789" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7014" name="__module.model.gpt_neox.layers.29.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="4439" name="__module.model.gpt_neox.layers.28.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -99692,44 +69215,12 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
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-		<layer id="7015" name="Maximum_317078" type="Maximum" version="opset1">
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-				<port id="0" precision="I64">
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-				<port id="1" precision="I64">
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-		<layer id="7016" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
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-				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4740">
+				<port id="5" precision="FP32" names="3591">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -99737,7 +69228,7 @@
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 			</output>
 		</layer>
-		<layer id="7017" name="__module.model.gpt_neox.layers.29.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="4440" name="__module.model.gpt_neox.layers.28.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99766,7 +69257,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4741,4742,sdpa_result.59,tensor.117">
+				<port id="4" precision="FP32" names="3592,attn_output.225">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -99774,15 +69265,15 @@
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 			</output>
 		</layer>
-		<layer id="7018" name="Constant_17540" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="4441" name="__module.model.gpt_neox.layers.28.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64" names="4743">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7019" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4442" name="__module.model.gpt_neox.layers.28.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -99790,12 +69281,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4744">
+				<port id="2" precision="FP32" names="3593">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -99803,15 +69294,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7020" name="__module.model.gpt_neox.layers.29.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="4443" name="Constant_40563" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7021" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4444" name="__module.model.gpt_neox.layers.28.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -99825,15 +69316,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4749">
+				<port id="2" precision="FP32" names="3596">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7022" name="self.model.gpt_neox.layers.29.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 128" offset="1586277572" size="3276800" />
+		<layer id="4445" name="self.model.gpt_neox.layers.28.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="1286546632" size="3276800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -99842,7 +69333,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7023" name="Convert_450141" type="Convert" version="opset1">
+		<layer id="4446" name="Convert_177279" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -99859,8 +69350,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7024" name="self.model.gpt_neox.layers.29.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 1" offset="1589554372" size="25600" />
+		<layer id="4447" name="self.model.gpt_neox.layers.28.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="1289823432" size="25600" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -99869,7 +69360,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7025" name="Convert_450143" type="Convert" version="opset1">
+		<layer id="4448" name="Convert_177281" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -99886,7 +69377,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7026" name="self.model.gpt_neox.layers.29.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4449" name="self.model.gpt_neox.layers.28.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99908,8 +69399,8 @@
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 			</output>
 		</layer>
-		<layer id="7027" name="self.model.gpt_neox.layers.29.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="1589579972" size="102400" />
+		<layer id="4450" name="self.model.gpt_neox.layers.28.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="1289849032" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -99918,7 +69409,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7028" name="self.model.gpt_neox.layers.29.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4451" name="self.model.gpt_neox.layers.28.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99940,15 +69431,15 @@
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 			</output>
 		</layer>
-		<layer id="7029" name="Constant_450148" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="4452" name="Constant_177286" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7030" name="Reshape_450149" type="Reshape" version="opset1">
+		<layer id="4453" name="Reshape_177287" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99967,7 +69458,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7031" name="self.model.gpt_neox.layers.29.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4454" name="self.model.gpt_neox.layers.28.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -99982,7 +69473,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7032" name="__module.model.gpt_neox.layers.29.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4455" name="__module.model.gpt_neox.layers.28.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100003,8 +69494,8 @@
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 			</output>
 		</layer>
-		<layer id="7033" name="Constant_325486" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1589682372" size="10240" />
+		<layer id="4456" name="Constant_37132" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1289951432" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -100013,7 +69504,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7034" name="__module.model.gpt_neox.layers.29.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4457" name="__module.model.gpt_neox.layers.28.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100028,14 +69519,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4752,4754,input.119">
+				<port id="2" precision="FP32" names="3599,3601,input.113">
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 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7035" name="__module.model.gpt_neox.layers.29/aten::add/Add" type="Add" version="opset1">
+		<layer id="4458" name="__module.model.gpt_neox.layers.28/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100050,14 +69541,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4758,attn_output.119">
+				<port id="2" precision="FP32" names="3605,attn_output.231">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7036" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4459" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -100065,7 +69556,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7037" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4460" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100085,8 +69576,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7038" name="Constant_325487" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1589692612" size="10240" />
+		<layer id="4461" name="Constant_37133" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1289961672" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -100095,7 +69586,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7039" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4462" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100117,8 +69608,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7040" name="Constant_325488" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1589702852" size="10240" />
+		<layer id="4463" name="Constant_37134" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1289971912" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -100127,7 +69618,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7041" name="__module.model.gpt_neox.layers.29.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4464" name="__module.model.gpt_neox.layers.28.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100142,15 +69633,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4762">
+				<port id="2" precision="FP32" names="3609">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7042" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 128" offset="1589713092" size="13107200" />
+		<layer id="4465" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="1289982152" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>10240</dim>
@@ -100159,7 +69650,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7043" name="Convert_450152" type="Convert" version="opset1">
+		<layer id="4466" name="Convert_176539" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -100176,8 +69667,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7044" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 1" offset="1602820292" size="102400" />
+		<layer id="4467" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="1303089352" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>10240</dim>
@@ -100186,7 +69677,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7045" name="Convert_450154" type="Convert" version="opset1">
+		<layer id="4468" name="Convert_176541" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -100203,7 +69694,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7046" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4469" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -100225,8 +69716,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7047" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 20, 1" offset="1602922692" size="409600" />
+		<layer id="4470" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="1303191752" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -100235,7 +69726,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7048" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4471" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -100257,15 +69748,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7049" name="Constant_450159" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="162082980" size="16" />
+		<layer id="4472" name="Constant_176546" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7050" name="Reshape_450160" type="Reshape" version="opset1">
+		<layer id="4473" name="Reshape_176547" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -100284,8 +69775,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7051" name="self.model.gpt_neox.layers.29.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4474" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -100299,7 +69793,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7052" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4475" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100320,17 +69814,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7053" name="Constant_325489" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1603332292" size="40960" />
+		<layer id="4476" name="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1303601352" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.mlp.dense_h_to_4h.bias">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4477" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7054" name="__module.model.gpt_neox.layers.29.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4478" name="__module.model.gpt_neox.layers.28.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100339,20 +69847,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4767">
+				<port id="2" precision="FP32" names="3614">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7055" name="__module.model.gpt_neox.layers.29.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="4479" name="__module.model.gpt_neox.layers.28.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100362,15 +69868,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4768">
+				<port id="1" precision="FP32" names="3615">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7056" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 128" offset="1603373252" size="13107200" />
+		<layer id="4480" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="1303621832" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -100379,7 +69885,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7057" name="Convert_450163" type="Convert" version="opset1">
+		<layer id="4481" name="Convert_176549" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -100396,8 +69902,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7058" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 1" offset="1616480452" size="102400" />
+		<layer id="4482" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="1316729032" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -100406,7 +69912,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7059" name="Convert_450165" type="Convert" version="opset1">
+		<layer id="4483" name="Convert_176551" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -100423,7 +69929,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7060" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4484" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -100445,8 +69951,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7061" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 80, 1" offset="1616582852" size="409600" />
+		<layer id="4485" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="1316831432" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -100455,7 +69961,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7062" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4486" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -100477,15 +69983,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7063" name="Constant_450170" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="4487" name="Constant_176556" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7064" name="Reshape_450171" type="Reshape" version="opset1">
+		<layer id="4488" name="Reshape_176557" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -100504,8 +70010,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7065" name="self.model.gpt_neox.layers.29.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4489" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -100519,7 +70028,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7066" name="__module.model.gpt_neox.layers.29.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4490" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100540,17 +70049,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7067" name="Constant_325490" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1616992452" size="10240" />
+		<layer id="4491" name="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1317241032" size="5120" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.28.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4492" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7068" name="__module.model.gpt_neox.layers.29.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4493" name="__module.model.gpt_neox.layers.28.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100559,20 +70082,18 @@
 					<dim>2560</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4771,input.121">
+				<port id="2" precision="FP32" names="3618,input.115">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7069" name="__module.model.gpt_neox.layers.29/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4494" name="__module.model.gpt_neox.layers.28/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100587,14 +70108,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4773,4775,hidden_states.61">
+				<port id="2" precision="FP32" names="3620,3622,hidden_states.119">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7070" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4495" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -100602,7 +70123,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7071" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4496" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100622,8 +70143,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7072" name="Constant_325491" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1617002692" size="10240" />
+		<layer id="4497" name="Constant_37135" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1317246152" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -100632,7 +70153,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7073" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4498" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100654,8 +70175,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7074" name="Constant_325492" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1617012932" size="10240" />
+		<layer id="4499" name="Constant_37136" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1317256392" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -100664,7 +70185,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7075" name="__module.model.gpt_neox.layers.30.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4500" name="__module.model.gpt_neox.layers.29.input_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100679,15 +70200,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4785">
+				<port id="2" precision="FP32" names="3632,hidden_states.117">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7076" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 128" offset="1617023172" size="9830400" />
+		<layer id="4501" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 128" offset="1317266632" size="9830400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -100696,7 +70217,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7077" name="Convert_450174" type="Convert" version="opset1">
+		<layer id="4502" name="Convert_176938" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -100713,8 +70234,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7078" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="7680, 20, 1" offset="1626853572" size="76800" />
+		<layer id="4503" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="7680, 20, 1" offset="1327097032" size="76800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>7680</dim>
@@ -100723,7 +70244,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7079" name="Convert_450176" type="Convert" version="opset1">
+		<layer id="4504" name="Convert_176940" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -100740,7 +70261,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7080" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4505" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -100762,8 +70283,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7081" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="7680, 20, 1" offset="1626930372" size="307200" />
+		<layer id="4506" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="7680, 20, 1" offset="1327173832" size="307200" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>7680</dim>
@@ -100772,7 +70293,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7082" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4507" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -100794,7 +70315,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7083" name="Constant_450181" type="Const" version="opset1">
+		<layer id="4508" name="Constant_176945" type="Const" version="opset1">
 			<data element_type="i64" shape="2" offset="139492128" size="16" />
 			<output>
 				<port id="0" precision="I64">
@@ -100802,7 +70323,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7084" name="Reshape_450182" type="Reshape" version="opset1">
+		<layer id="4509" name="Reshape_176946" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -100821,7 +70342,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7085" name="self.model.gpt_neox.layers.30.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4510" name="self.model.gpt_neox.layers.29.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -100836,7 +70357,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7086" name="__module.model.gpt_neox.layers.30.attention.query_key_value/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4511" name="__module.model.gpt_neox.layers.29.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100857,8 +70378,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7087" name="Constant_325493" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 7680" offset="1627237572" size="30720" />
+		<layer id="4512" name="Constant_37137" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 7680" offset="1327481032" size="30720" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -100867,7 +70388,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7088" name="__module.model.gpt_neox.layers.30.attention.query_key_value/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4513" name="__module.model.gpt_neox.layers.29.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100882,14 +70403,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4792,qkv.121">
+				<port id="2" precision="FP32" names="3639,qkv.117">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>7680</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7089" name="__module.model.gpt_neox.layers.30.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
+		<layer id="4514" name="__module.model.gpt_neox.layers.29.attention/prim::ListConstruct" type="Const" version="opset1">
 			<data element_type="i64" shape="4" offset="139522864" size="32" />
 			<output>
 				<port id="0" precision="I64">
@@ -100897,7 +70418,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7090" name="__module.model.gpt_neox.layers.30.attention/aten::view/Reshape" type="Reshape" version="opset1">
+		<layer id="4515" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -100910,7 +70431,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4796,qkv.123">
+				<port id="2" precision="FP32" names="3643,qkv.119">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -100918,32 +70439,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7091" name="Constant_304913" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4516" name="Constant_18985" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7092" name="Constant_304916" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="4517" name="Constant_18987" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7093" name="Constant_304919" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4518" name="Constant_18989" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7094" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4519" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -100952,17 +70472,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4797">
+				<port id="5" precision="FP32" names="3644">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -100970,15 +70493,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7095" name="Constant_17652" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="4520" name="Constant_18998" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4798">
+				<port id="0" precision="I64" names="3645">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7096" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose" type="Transpose" version="opset1">
+		<layer id="4521" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -100991,7 +70514,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4799,query.181">
+				<port id="2" precision="FP32" names="3646,query.59">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -100999,32 +70522,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7097" name="Constant_304925" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4522" name="Constant_19039" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7098" name="Constant_304928" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="4523" name="Constant_19041" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7099" name="Constant_304931" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4524" name="Constant_19043" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7100" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_1" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4525" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101033,17 +70555,45 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3653,q.59">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4526" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4806,q.61">
+				<port id="2" precision="FP32" names="3659">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101051,16 +70601,97 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7101" name="self.model.gpt_neox.layers.30.attention.rotary_emb.cos_cached" type="Const" version="opset1">
-			<data element_type="f32" shape="2048, 80" offset="139523024" size="655360" />
+		<layer id="4527" name="Constant_19197" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4528" name="Constant_19199" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4529" name="Constant_19201" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.30.attention.rotary_emb.cos_cached">
-					<dim>2048</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4530" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_2" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3669,x2.117">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4531" name="Constant_37138" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4532" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3670">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7102" name="__module.model.gpt_neox.layers.30.attention.rotary_emb/aten::slice/Unsqueeze" type="Const" version="opset1">
+		<layer id="4533" name="Constant_19094" type="Const" version="opset1">
 			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
@@ -101068,32 +70699,200 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7103" name="Constant_304937" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="4534" name="Constant_19138" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7104" name="Constant_304940" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178384" size="32" />
+		<layer id="4535" name="Constant_19140" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7105" name="Constant_304943" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4536" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_3" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3664">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4537" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3672">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4538" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3673">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4539" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3674,3692">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4540" name="ReadValue_49822" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.29.keypresent.29.key" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.29.key">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4541" name="Constant_47503" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4542" name="Gather_47504" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4543" name="Constant_19003" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4544" name="Constant_19005" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4545" name="Constant_19007" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7106" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_2" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4546" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_5" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101102,106 +70901,256 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3647">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4547" name="Constant_19016" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="3648">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4548" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4800">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
+				<port id="2" precision="FP32" names="3649,key.117">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4549" name="Constant_19059" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4550" name="Constant_19061" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4551" name="Constant_19063" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4552" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_6" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3655,k.59">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4553" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
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 		</layer>
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+		<layer id="4558" name="Constant_37139" type="Const" version="opset1">
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-		</layer>
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+		<layer id="4559" name="__module.model.gpt_neox.layers.29.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
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+		<layer id="4560" name="Constant_19237" type="Const" version="opset1">
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-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4561" name="Constant_19281" type="Const" version="opset1">
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-			<data element_type="i64" shape="1" offset="20" size="8" />
+		<layer id="4562" name="Constant_19283" type="Const" version="opset1">
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 		</layer>
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-			<data axis="0" />
+		<layer id="4563" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 					<dim>1</dim>
@@ -101212,42 +71161,62 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3680">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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 			</output>
 		</layer>
-		<layer id="7116" name="Broadcast_433419" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4564" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
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-				<port id="1" precision="I64">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
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+					<dim>40</dim>
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
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 		</layer>
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-			<data variable_id="past_key_values.30.keypresent.30.key" variable_type="f32" variable_shape="?,32,?,80" />
+		<layer id="4565" name="__module.model.gpt_neox.layers.29.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>0</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="past_key_values.30.key">
+				<port id="2" precision="FP32" names="3689">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101255,14 +71224,8 @@
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 			</output>
 		</layer>
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-			</output>
-		</layer>
-		<layer id="7119" name="Gather_402071" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4566" name="__module.model.gpt_neox.layers.29.attention/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101270,13 +71233,15 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I32">
+				<port id="1" precision="FP32">
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+					<dim>32</dim>
 					<dim>-1</dim>
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 			</input>
 			<output>
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 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101284,8 +71249,8 @@
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 			</output>
 		</layer>
-		<layer id="7120" name="ShapeOf_340644" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4567" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101293,90 +71258,101 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</input>
 			<output>
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-					<dim>4</dim>
+				<port id="2" precision="FP32" names="present.29.key">
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+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7121" name="Constant_340645" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178424" size="8" />
+		<layer id="4568" name="ReadValue_49824" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.29.valuepresent.29.value" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
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+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
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 			<output>
-				<port id="0" precision="I64" />
+				<port id="1" precision="FP32" names="past_key_values.29.value">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7122" name="Constant_340646" type="Const" version="opset1">
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 				<port id="0" precision="I64" />
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 		</layer>
-		<layer id="7123" name="Gather_340647" type="Gather" version="opset8">
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 			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
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+					<dim>-1</dim>
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 				<port id="2" precision="I64" />
 			</input>
 			<output>
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+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4571" name="Constant_19021" type="Const" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
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-			</input>
+		<layer id="4572" name="Constant_19023" type="Const" version="opset1">
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 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4573" name="Constant_19025" type="Const" version="opset1">
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 				<port id="0" precision="I64">
 					<dim>1</dim>
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 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4574" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_10" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -101387,61 +71363,50 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
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 					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
+		<layer id="4575" name="Constant_19034" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="3" precision="FP32" names="4825">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64" names="3651">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7131" name="__module.model.gpt_neox.layers.30.attention/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="4576" name="__module.model.gpt_neox.layers.29.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4826,cos.123">
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 					<dim>-1</dim>
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+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7132" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4577" name="__module.model.gpt_neox.layers.29.attention/aten::cat/Concat_5" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101451,13 +71416,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4830">
+				<port id="2" precision="FP32" names="present.29.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -101465,23 +71430,15 @@
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 			</output>
 		</layer>
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-		<layer id="7134" name="Constant_304947" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="4578" name="Constant_19416" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7135" name="__module.model.gpt_neox.layers.30.attention/aten::size/ShapeOf_5" type="ShapeOf" version="opset3">
+		<layer id="4579" name="ShapeOf_40316" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
@@ -101497,77 +71454,115 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7136" name="__module.model.gpt_neox.layers.30.attention/aten::size/Constant_5" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
+		<layer id="4580" name="Constant_40317" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="0" precision="I32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4581" name="Constant_40318" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7137" name="__module.model.gpt_neox.layers.30.attention/aten::size/Gather_5" type="Gather" version="opset8">
+		<layer id="4582" name="Gather_40319" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4831,4836" />
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7138" name="__module.model.gpt_neox.layers.30.attention/aten::floor_divide/Divide_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="4583" name="ShapeOf_40320" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7139" name="__module.model.gpt_neox.layers.30.attention/aten::floor_divide/Floor_1" type="Floor" version="opset1">
-			<input>
-				<port id="0" precision="I64" />
-			</input>
+		<layer id="4584" name="Constant_40321" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
-				<port id="1" precision="I64" names="4833,4834,4838,4839" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7140" name="Constant_337886" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4585" name="Constant_40322" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4586" name="Gather_40323" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
 				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="4587" name="Add_40324" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
+				<port id="2" precision="I64" names="3699">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7142" name="Constant_304946" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4588" name="Constant_19419" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7143" name="ScatterUpdate_304949" type="ScatterUpdate" version="opset3">
+		<layer id="4589" name="__module.model.gpt_neox.layers.29.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -101575,34 +71570,24 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7144" name="Constant_304952" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7145" name="Constant_304955" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3703">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7146" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_3" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4590" name="__module.model.gpt_neox.layers.29.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -101610,1250 +71595,1239 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4840,x2.121">
+				<port id="4" precision="FP32" names="3704,attn_output.233">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7147" name="Constant_325494" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="4591" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I32">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7148" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4592" name="__module.model.gpt_neox.layers.29.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I32">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4841">
+				<port id="2" precision="FP32" names="3705">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7149" name="Constant_305000" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7150" name="Constant_305005" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4593" name="Constant_40564" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7151" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_4" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4594" name="__module.model.gpt_neox.layers.29.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4835">
+				<port id="2" precision="FP32" names="3708">
 					<dim>-1</dim>
-					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7152" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="4595" name="self.model.gpt_neox.layers.29.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="1327511752" size="3276800" />
+			<output>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4596" name="Convert_177290" type="Convert" version="opset1">
+			<data destination_type="f16" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4597" name="self.model.gpt_neox.layers.29.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="1330788552" size="25600" />
+			<output>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4598" name="Convert_177292" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U4">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4843">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="4599" name="self.model.gpt_neox.layers.29.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32" names="self.model.gpt_neox.layers.30.attention.rotary_emb.sin_cached">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7154" name="__module.model.gpt_neox.layers.30.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4600" name="self.model.gpt_neox.layers.29.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="1330814152" size="102400" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4601" name="self.model.gpt_neox.layers.29.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
+				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4602" name="Constant_177297" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4603" name="Reshape_177298" type="Reshape" version="opset1">
+			<data special_zero="false" />
 			<input>
-				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
+					<dim>20</dim>
+					<dim>128</dim>
 				</port>
 				<port id="1" precision="I64">
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-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
+					<dim>2</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4820,4823,sin.121">
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="2" precision="FP16">
+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="7233" name="Constant_305249" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="4667" name="Constant_19617" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7234" name="Constant_305248" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4668" name="Constant_19619" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7235" name="ScatterUpdate_305254" type="ScatterUpdate" version="opset3">
+		<layer id="4669" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -102861,186 +72835,251 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3756">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7236" name="Constant_305257" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4670" name="Constant_19628" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64" names="3757">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7237" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4671" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="4884,4885">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3758,query.61">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7238" name="__module.model.gpt_neox.layers.30.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
+		<layer id="4672" name="Constant_19669" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7239" name="__module.model.gpt_neox.layers.30.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="145028188" size="4" />
+		<layer id="4673" name="Constant_19671" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
-				<port id="0" precision="FP32" names="4872" />
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7240" name="__module.model.gpt_neox.layers.30.attention/aten::where/Select" type="Select" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
+		<layer id="4674" name="Constant_19673" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4675" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_1" type="Slice" version="opset8">
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
-			</input>
-			<output>
-				<port id="3" precision="FP32" names="4886,causal_mask.121">
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
 					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="FP32" names="3765,q.61">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7241" name="Add_317148" type="Add" version="opset1">
+		<layer id="4676" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3771">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7242" name="ShapeOf_317149" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4677" name="Constant_19827" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4678" name="Constant_19829" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4679" name="Constant_19831" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4680" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3781,x2.121">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7243" name="Constant_340726" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4681" name="Constant_37146" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7244" name="Constant_340727" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="7245" name="Gather_340728" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="4682" name="__module.model.gpt_neox.layers.30.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4870">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3782">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7246" name="Constant_268261" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4683" name="Constant_19724" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7247" name="Constant_268263" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4684" name="Constant_19768" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7248" name="Constant_268265" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4685" name="Constant_19770" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7249" name="__module.model.gpt_neox.layers.30.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="4686" name="__module.model.gpt_neox.layers.30.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -103051,53 +73090,71 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="4887">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3776">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7250" name="Maximum_317150" type="Maximum" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4687" name="__module.model.gpt_neox.layers.30.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3784">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7251" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4688" name="__module.model.gpt_neox.layers.30.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4889">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3785">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7252" name="__module.model.gpt_neox.layers.30.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
-			<data causal="false" />
+		<layer id="4689" name="__module.model.gpt_neox.layers.30.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -103111,21 +73168,28 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3786,3804">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="3" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+			</output>
+		</layer>
+		<layer id="4690" name="ReadValue_49830" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.30.keypresent.30.key" variable_type="f32" variable_shape="?,32,?,80" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>0</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4890,4891,sdpa_result.61,tensor.121">
+				<port id="1" precision="FP32" names="past_key_values.30.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -103133,15 +73197,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7253" name="Constant_18121" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="4691" name="Constant_47509" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64" names="4892">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7254" name="__module.model.gpt_neox.layers.30.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4692" name="Gather_47510" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -103149,1023 +73212,954 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4893">
-					<dim>-1</dim>
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
+					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7255" name="__module.model.gpt_neox.layers.30.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="4693" name="Constant_19633" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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@@ -104175,27 +74169,27 @@
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+		<layer id="4755" name="__module.model.gpt_neox.layers.30.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
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@@ -104204,7 +74198,7 @@
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+					<dim>2560</dim>
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@@ -104212,956 +74206,986 @@
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 					<dim>-1</dim>
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+		<layer id="4756" name="Constant_37148" type="Const" version="opset1">
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 			<output>
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+					<dim>128</dim>
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 		</layer>
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+					<dim>128</dim>
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+					<dim>20</dim>
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 		</layer>
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+		<layer id="4808" name="Constant_176967" type="Const" version="opset1">
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 			</output>
 		</layer>
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-				<port id="3" precision="I32">
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+				<port id="2" precision="FP16">
+					<dim>7680</dim>
+					<dim>2560</dim>
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 		</layer>
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-			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+		<layer id="4810" name="self.model.gpt_neox.layers.31.attention.query_key_value.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>7680</dim>
+					<dim>2560</dim>
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-		<layer id="7382" name="Constant_305306" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4811" name="__module.model.gpt_neox.layers.31.attention.query_key_value/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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-				<port id="2" precision="I64">
-					<dim>4</dim>
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-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>7680</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
+		<layer id="4812" name="Constant_37153" type="Const" version="opset1">
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 				<port id="0" precision="FP32">
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 			</output>
 		</layer>
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+		<layer id="4813" name="__module.model.gpt_neox.layers.31.attention.query_key_value/ov_ext::linear/Add" type="Add" version="opset1">
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 					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="3863,qkv.125">
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-				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4814" name="__module.model.gpt_neox.layers.31.attention/prim::ListConstruct" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522864" size="32" />
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 				<port id="0" precision="I64">
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 			</output>
 		</layer>
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-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4815" name="__module.model.gpt_neox.layers.31.attention/aten::view/Reshape" type="Reshape" version="opset1">
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 					<dim>-1</dim>
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 				<port id="1" precision="I64">
 					<dim>4</dim>
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 			</input>
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 					<dim>-1</dim>
 					<dim>32</dim>
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 			</output>
 		</layer>
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-			<data element_type="f32" shape="2048, 80" offset="140178476" size="655360" />
+		<layer id="4816" name="Constant_20281" type="Const" version="opset1">
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-					<dim>80</dim>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7391" name="__module.model.gpt_neox.layers.31.attention.rotary_emb/aten::slice/Unsqueeze_4" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4817" name="Constant_20283" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
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 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4818" name="Constant_20285" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data begin_mask="0" end_mask="0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4819" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
-					<dim>2048</dim>
-					<dim>80</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -105172,61 +75196,50 @@
 				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4969,4972,sin.125">
+				<port id="5" precision="FP32" names="3874">
 					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="I32" />
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-					<dim>80</dim>
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-				<port id="1" precision="I32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-				<port id="2" precision="I32" />
-			</input>
+		<layer id="4820" name="Constant_20294" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="3" precision="FP32" names="4977">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
+				<port id="0" precision="I64" names="3875">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7396" name="__module.model.gpt_neox.layers.31.attention/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
+		<layer id="4821" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4978,sin">
+				<port id="2" precision="FP32" names="3876">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7397" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4822" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105236,13 +75249,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5009">
+				<port id="2" precision="FP32" names="present.31.value">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105250,24 +75263,18 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7398" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4824" name="ReadValue_49834" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.31.keypresent.31.key" variable_type="f32" variable_shape="?,32,?,80" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>80</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>-1</dim>
+					<dim>0</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5010,5014">
+				<port id="1" precision="FP32" names="past_key_values.31.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105275,8 +75282,14 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7399" name="__module.model.gpt_neox.layers.31.attention/aten::to/Convert" type="Concat" version="opset1">
-			<data axis="-2" />
+		<layer id="4825" name="Constant_47515" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="4826" name="Gather_47516" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105284,15 +75297,13 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
-					<dim>32</dim>
+				<port id="1" precision="I32">
 					<dim>-1</dim>
-					<dim>80</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="present.31.key">
+				<port id="3" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105300,32 +75311,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7451" name="Constant_305402" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4827" name="Constant_20263" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7452" name="Constant_305405" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="4828" name="Constant_20265" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523136" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7453" name="Constant_305408" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4829" name="Constant_20267" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7454" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_6" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4830" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_1" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105334,17 +75344,20 @@
 					<dim>240</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4946">
+				<port id="5" precision="FP32" names="3871">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -105352,15 +75365,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7455" name="Constant_18233" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="4831" name="Constant_20276" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
 			<output>
-				<port id="0" precision="I64" names="4947">
+				<port id="0" precision="I64" names="3872">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7456" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
+		<layer id="4832" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105373,7 +75386,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4948,query.187">
+				<port id="2" precision="FP32" names="3873,key.125">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105381,32 +75394,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7457" name="Constant_305414" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4833" name="Constant_20319" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7458" name="Constant_305417" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522928" size="32" />
+		<layer id="4834" name="Constant_20321" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7459" name="Constant_305420" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4835" name="Constant_20323" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7460" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_7" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4836" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_2" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105415,17 +75427,20 @@
 					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="3" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4955,q">
+				<port id="5" precision="FP32" names="3879,k">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105433,7 +75448,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7461" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
+		<layer id="4837" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -105450,7 +75465,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4979">
+				<port id="2" precision="FP32" names="3899">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105458,24 +75473,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7462" name="Constant_305424" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4838" name="Constant_20600" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7463" name="Constant_305423" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178432" size="8" />
+		<layer id="4839" name="Constant_20602" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7464" name="__module.model.gpt_neox.layers.31.attention/aten::size/ShapeOf_7" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4840" name="Constant_20604" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4841" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_3" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105483,84 +75505,95 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7465" name="__module.model.gpt_neox.layers.31.attention/aten::size/Constant_7" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="I32" />
-			</output>
-		</layer>
-		<layer id="7466" name="__module.model.gpt_neox.layers.31.attention/aten::size/Gather_7" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I32" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="4980,4985" />
+				<port id="5" precision="FP32" names="3909,x2">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7467" name="__module.model.gpt_neox.layers.31.attention/aten::floor_divide/Divide_3" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
+		<layer id="4842" name="Constant_37154" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
-				<port id="2" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7468" name="__module.model.gpt_neox.layers.31.attention/aten::floor_divide/Floor_3" type="Floor" version="opset1">
+		<layer id="4843" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="4982,4983,4987,4988" />
+				<port id="2" precision="FP32" names="3910">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="7469" name="Constant_337898" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4844" name="Constant_20497" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7470" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Unsqueeze_37" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="4845" name="Constant_20541" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
-				<port id="2" precision="I64">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7471" name="Constant_305422" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="0" size="4" />
+		<layer id="4846" name="Constant_20543" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7472" name="ScatterUpdate_305425" type="ScatterUpdate" version="opset3">
+		<layer id="4847" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_4" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -105568,34 +75601,49 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7473" name="Constant_305428" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="140178440" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3904">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7474" name="Constant_305431" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4848" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_1" type="Concat" version="opset1">
+			<data axis="-1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="3912">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7475" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_8" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4849" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105603,123 +75651,148 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="4989,x2.125">
+				<port id="2" precision="FP32" names="3913">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7476" name="Constant_325505" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="140178472" size="4" />
-			<output>
+		<layer id="4850" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="3914,3918">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7477" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="4851" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_3" type="Concat" version="opset1">
+			<data axis="-2" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4990">
+				<port id="2" precision="FP32" names="present.31.key">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4903" name="Constant_20245" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7478" name="Constant_305476" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522896" size="32" />
+		<layer id="4904" name="Constant_20247" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7479" name="Constant_305481" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+		<layer id="4905" name="Constant_20249" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
 				<port id="0" precision="I64">
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+					<dim>1</dim>
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 		</layer>
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+		<layer id="4906" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_6" type="Slice" version="opset8">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>240</dim>
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+					<dim>1</dim>
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 				<port id="3" precision="I64">
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+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
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 			</input>
 			<output>
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+				<port id="5" precision="FP32" names="3868">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7481" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_4" type="Concat" version="opset1">
-			<data axis="-1" />
+		<layer id="4907" name="Constant_20258" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="139522912" size="32" />
+			<output>
+				<port id="0" precision="I64" names="3869">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4908" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>32</dim>
-					<dim>-1</dim>
-					<dim>40</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4992">
+				<port id="2" precision="FP32" names="3870,query">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105727,8 +75800,31 @@
 				</port>
 			</output>
 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="4909" name="Constant_20299" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4910" name="Constant_20301" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4911" name="Constant_20303" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4912" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_7" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105736,15 +75832,21 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>-1</dim>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
 					<dim>1</dim>
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4993">
+				<port id="5" precision="FP32" names="3877,q">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105752,7 +75854,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7483" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4913" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_2" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -105763,13 +75865,13 @@
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>32</dim>
+					<dim>1</dim>
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4994,5012,5022,query,query.189">
+				<port id="2" precision="FP32" names="3883">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -105777,127 +75879,31 @@
 				</port>
 			</output>
 		</layer>
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-					<dim>1</dim>
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-					<dim>2048</dim>
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-			</output>
-		</layer>
-		<layer id="7485" name="Constant_305524" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
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-			</output>
-		</layer>
-		<layer id="7486" name="Constant_305523" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178424" size="8" />
+		<layer id="4914" name="Constant_20457" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523116" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-				<port id="0" precision="FP32">
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-					<dim>32</dim>
-					<dim>-1</dim>
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-			<output>
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-				</port>
-			</output>
-		</layer>
-		<layer id="7488" name="Constant_340741" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="7489" name="Constant_340742" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="4915" name="Constant_20459" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523124" size="8" />
 			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="7490" name="Gather_340743" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" />
-			</output>
-		</layer>
-		<layer id="7491" name="ShapeOf_340744" type="ShapeOf" version="opset3">
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-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>-1</dim>
-					<dim>32</dim>
-					<dim>80</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7492" name="Constant_340745" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="7493" name="Constant_340746" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="4" size="8" />
+		<layer id="4916" name="Constant_20461" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
 			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="7494" name="Gather_340747" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7495" name="Add_340748" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="5026" />
-			</output>
-		</layer>
-		<layer id="7496" name="ShapeOf_340815" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="4917" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_8" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -105905,222 +75911,95 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-			</input>
-			<output>
 				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7497" name="Constant_340816" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
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-		</layer>
-		<layer id="7498" name="Constant_340817" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="7499" name="Gather_340818" type="Gather" version="opset8">
-			<data batch_dims="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
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-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
-			</input>
-			<output>
-				<port id="3" precision="I64" names="5024" />
-			</output>
-		</layer>
-		<layer id="7500" name="__module.model.gpt_neox.layers.31.attention/aten::sub/Subtract" type="Subtract" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64" />
-			</input>
-			<output>
-				<port id="2" precision="I64" names="5028,5029" />
-			</output>
-		</layer>
-		<layer id="7501" name="Constant_337900" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
-			<output>
-				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
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-		</layer>
-		<layer id="7502" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Unsqueeze_44" type="Reshape" version="opset1">
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-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
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 				<port id="2" precision="I64">
 					<dim>1</dim>
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-		<layer id="7503" name="Constant_305522" type="Const" version="opset1">
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-				<port id="0" precision="I32">
-					<dim>1</dim>
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-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="4" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64">
-					<dim>3</dim>
-				</port>
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-		</layer>
-		<layer id="7505" name="Constant_305526" type="Const" version="opset1">
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-			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="5" precision="FP32" names="3893,x2.125">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7506" name="Constant_337902" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4918" name="Constant_37155" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="139523132" size="4" />
 			<output>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
+					<dim>1</dim>
 					<dim>1</dim>
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-		<layer id="7507" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Unsqueeze_45" type="Reshape" version="opset1">
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 					<dim>1</dim>
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 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="4919" name="__module.model.gpt_neox.layers.31.attention/aten::neg/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
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+				<port id="1" precision="FP32">
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 					<dim>1</dim>
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 			<output>
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 					<dim>-1</dim>
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+					<dim>32</dim>
+					<dim>-1</dim>
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 				<port id="0" precision="I64">
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 		</layer>
-		<layer id="7515" name="ScatterUpdate_305605" type="ScatterUpdate" version="opset3">
+		<layer id="4923" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_9" type="Slice" version="opset8">
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -106128,118 +76007,113 @@
 				<port id="2" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="3" precision="I32">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
-			</input>
-			<output>
 				<port id="4" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="7516" name="Constant_305608" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522960" size="32" />
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="5" precision="FP32" names="3888">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7517" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_13" type="StridedSlice" version="opset1">
-			<data begin_mask="1, 1, 1, 0" end_mask="1, 1, 1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
+		<layer id="4924" name="__module.model.gpt_neox.layers.31.attention/aten::cat/Concat_4" type="Concat" version="opset1">
+			<data axis="-1" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>2048</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
-				<port id="3" precision="I64">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>40</dim>
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="BOOL" names="5033,5034">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3896">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7518" name="__module.model.gpt_neox.layers.31.attention/aten::where/Convert_1" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="0" size="4" />
-			<output>
-				<port id="0" precision="FP32" />
-			</output>
-		</layer>
-		<layer id="7519" name="__module.model.gpt_neox.layers.31.attention/aten::full/Convert" type="Const" version="opset1">
-			<data element_type="f32" shape="" offset="145028188" size="4" />
-			<output>
-				<port id="0" precision="FP32" names="5021" />
-			</output>
-		</layer>
-		<layer id="7520" name="__module.model.gpt_neox.layers.31.attention/aten::where/Select" type="Select" version="opset1">
+		<layer id="4925" name="__module.model.gpt_neox.layers.31.attention/aten::mul/Multiply_3" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="BOOL">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
-				<port id="1" precision="FP32" />
-				<port id="2" precision="FP32" />
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="5035,causal_mask.125">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3897">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7521" name="Add_317220" type="Add" version="opset1">
+		<layer id="4926" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
-					<dim>-1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="3898,3916">
 					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7522" name="ShapeOf_317221" type="ShapeOf" version="opset3">
+		<layer id="4927" name="Constant_20676" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4928" name="ShapeOf_40462" type="ShapeOf" version="opset3">
 			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>1</dim>
-					<dim>-1</dim>
+					<dim>32</dim>
 					<dim>-1</dim>
+					<dim>80</dim>
 				</port>
 			</input>
 			<output>
@@ -106248,21 +76122,21 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7523" name="Constant_340821" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="4" size="8" />
+		<layer id="4929" name="Constant_40463" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7524" name="Constant_340822" type="Const" version="opset1">
+		<layer id="4930" name="Constant_40464" type="Const" version="opset1">
 			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
 				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7525" name="Gather_340823" type="Gather" version="opset8">
+		<layer id="4931" name="Gather_40465" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
@@ -106274,75 +76148,83 @@
 				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64" names="5019">
+				<port id="3" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7526" name="Constant_268271" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4932" name="ShapeOf_40466" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7527" name="Constant_268273" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4933" name="Constant_40467" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139523160" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7528" name="Constant_268275" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="140178416" size="8" />
+		<layer id="4934" name="Constant_40468" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4" size="8" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" />
 			</output>
 		</layer>
-		<layer id="7529" name="__module.model.gpt_neox.layers.31.attention/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="4935" name="Gather_40469" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>4</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="4" precision="I64" names="5036">
-					<dim>4</dim>
+				<port id="3" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7530" name="Maximum_317222" type="Maximum" version="opset1">
+		<layer id="4936" name="Add_40470" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>4</dim>
+				<port id="2" precision="I64" names="3923">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7531" name="__module.model.gpt_neox.layers.31.attention/aten::add/Add_2" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="4937" name="Constant_20679" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="139522896" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4938" name="__module.model.gpt_neox.layers.31.attention/aten::slice/Slice_14" type="Slice" version="opset8">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -106351,11 +76233,20 @@
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="4" precision="I64">
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5038">
+				<port id="5" precision="FP32" names="3927">
 					<dim>-1</dim>
 					<dim>1</dim>
 					<dim>-1</dim>
@@ -106363,7 +76254,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7532" name="__module.model.gpt_neox.layers.31.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+		<layer id="4939" name="__module.model.gpt_neox.layers.31.attention/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
 			<data causal="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106392,7 +76283,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="4" precision="FP32" names="5039,5040,sdpa_result,tensor.125">
+				<port id="4" precision="FP32" names="3928,attn_output.249">
 					<dim>-1</dim>
 					<dim>32</dim>
 					<dim>-1</dim>
@@ -106400,15 +76291,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7533" name="Constant_18702" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="139522992" size="32" />
+		<layer id="4940" name="__module.model.gpt_neox.layers.31.attention/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="139523184" size="16" />
 			<output>
-				<port id="0" precision="I64" names="5041">
+				<port id="0" precision="I32">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7534" name="__module.model.gpt_neox.layers.31.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
+		<layer id="4941" name="__module.model.gpt_neox.layers.31.attention/aten::transpose/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -106416,12 +76307,12 @@
 					<dim>-1</dim>
 					<dim>80</dim>
 				</port>
-				<port id="1" precision="I64">
+				<port id="1" precision="I32">
 					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5042">
+				<port id="2" precision="FP32" names="3929">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>32</dim>
@@ -106429,15 +76320,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7535" name="__module.model.gpt_neox.layers.31.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="145028220" size="24" />
+		<layer id="4942" name="Constant_40566" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="139523200" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7536" name="__module.model.gpt_neox.layers.31.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
+		<layer id="4943" name="__module.model.gpt_neox.layers.31.attention/aten::view/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106451,15 +76342,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5047">
+				<port id="2" precision="FP32" names="3932">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7537" name="self.model.gpt_neox.layers.31.attention.dense.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 128" offset="1668259012" size="3276800" />
+		<layer id="4944" name="self.model.gpt_neox.layers.31.attention.dense.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 128" offset="1409441992" size="3276800" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -106468,7 +76359,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7538" name="Convert_450229" type="Convert" version="opset1">
+		<layer id="4945" name="Convert_177312" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -106485,8 +76376,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7539" name="self.model.gpt_neox.layers.31.attention.dense.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 20, 1" offset="1671535812" size="25600" />
+		<layer id="4946" name="self.model.gpt_neox.layers.31.attention.dense.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 20, 1" offset="1412718792" size="25600" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -106495,7 +76386,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7540" name="Convert_450231" type="Convert" version="opset1">
+		<layer id="4947" name="Convert_177314" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -106512,7 +76403,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7541" name="self.model.gpt_neox.layers.31.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4948" name="self.model.gpt_neox.layers.31.attention.dense.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -106534,8 +76425,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7542" name="self.model.gpt_neox.layers.31.attention.dense.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 20, 1" offset="1671561412" size="102400" />
+		<layer id="4949" name="self.model.gpt_neox.layers.31.attention.dense.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 20, 1" offset="1412744392" size="102400" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -106544,7 +76435,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7543" name="self.model.gpt_neox.layers.31.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4950" name="self.model.gpt_neox.layers.31.attention.dense.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -106566,15 +76457,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7544" name="Constant_450236" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="148433044" size="16" />
+		<layer id="4951" name="Constant_177319" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="142928024" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7545" name="Reshape_450237" type="Reshape" version="opset1">
+		<layer id="4952" name="Reshape_177320" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -106593,7 +76484,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7546" name="self.model.gpt_neox.layers.31.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4953" name="self.model.gpt_neox.layers.31.attention.dense.weight/fq_weights_1/convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="FP16">
@@ -106608,7 +76499,7 @@
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 			</output>
 		</layer>
-		<layer id="7547" name="__module.model.gpt_neox.layers.31.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4954" name="__module.model.gpt_neox.layers.31.attention.dense/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106629,8 +76520,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7548" name="Constant_325506" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1671663812" size="10240" />
+		<layer id="4955" name="Constant_37156" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1412846792" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -106639,7 +76530,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7549" name="__module.model.gpt_neox.layers.31.attention.dense/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4956" name="__module.model.gpt_neox.layers.31.attention.dense/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106654,14 +76545,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5050,5052,input.127">
+				<port id="2" precision="FP32" names="3935,3937,input.125">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="7550" name="__module.model.gpt_neox.layers.31/aten::add/Add" type="Add" version="opset1">
+		<layer id="4957" name="__module.model.gpt_neox.layers.31/aten::add/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106676,14 +76567,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5056,attn_output">
+				<port id="2" precision="FP32" names="3941,attn_output">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7551" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4958" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
 			<output>
 				<port id="0" precision="I32">
@@ -106691,7 +76582,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7552" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4959" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106711,8 +76602,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7553" name="Constant_325507" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1671674052" size="10240" />
+		<layer id="4960" name="Constant_37157" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1412857032" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -106721,7 +76612,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7554" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4961" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106743,8 +76634,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7555" name="Constant_325508" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1671684292" size="10240" />
+		<layer id="4962" name="Constant_37158" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1412867272" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -106753,7 +76644,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7556" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4963" name="__module.model.gpt_neox.layers.31.post_attention_layernorm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106768,15 +76659,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5060">
+				<port id="2" precision="FP32" names="3945">
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 					<dim>-1</dim>
 					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7557" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 128" offset="1671694532" size="13107200" />
+		<layer id="4964" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 128" offset="1412877512" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>10240</dim>
@@ -106785,7 +76676,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7558" name="Convert_450240" type="Convert" version="opset1">
+		<layer id="4965" name="Convert_176599" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -106802,8 +76693,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7559" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="10240, 20, 1" offset="1684801732" size="102400" />
+		<layer id="4966" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="10240, 20, 1" offset="1425984712" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>10240</dim>
@@ -106812,7 +76703,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7560" name="Convert_450242" type="Convert" version="opset1">
+		<layer id="4967" name="Convert_176601" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -106829,7 +76720,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7561" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4968" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -106851,8 +76742,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7562" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="10240, 20, 1" offset="1684904132" size="409600" />
+		<layer id="4969" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 20, 1" offset="1426087112" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -106861,7 +76752,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7563" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4970" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -106883,15 +76774,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7564" name="Constant_450247" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="162082980" size="16" />
+		<layer id="4971" name="Constant_176606" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="156577960" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7565" name="Reshape_450248" type="Reshape" version="opset1">
+		<layer id="4972" name="Reshape_176607" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -106910,8 +76801,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7566" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4973" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>10240</dim>
@@ -106925,7 +76819,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7567" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4974" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106946,17 +76840,31 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7568" name="Constant_325509" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 10240" offset="1685313732" size="40960" />
+		<layer id="4975" name="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="10240" offset="1426496712" size="20480" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.mlp.dense_h_to_4h.bias">
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7569" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4976" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>10240</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>10240</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4977" name="__module.model.gpt_neox.layers.31.mlp.dense_h_to_4h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106965,20 +76873,18 @@
 					<dim>10240</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
 					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5065">
+				<port id="2" precision="FP32" names="3950">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7570" name="__module.model.gpt_neox.layers.31.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="4978" name="__module.model.gpt_neox.layers.31.mlp.act/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -106988,15 +76894,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="5066">
+				<port id="1" precision="FP32" names="3951">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7571" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 128" offset="1685354692" size="13107200" />
+		<layer id="4979" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 128" offset="1426517192" size="13107200" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -107005,7 +76911,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7572" name="Convert_450251" type="Convert" version="opset1">
+		<layer id="4980" name="Convert_176609" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -107022,8 +76928,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7573" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u4" shape="2560, 80, 1" offset="1698461892" size="102400" />
+		<layer id="4981" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u4" shape="2560, 80, 1" offset="1439624392" size="102400" />
 			<output>
 				<port id="0" precision="U4">
 					<dim>2560</dim>
@@ -107032,7 +76938,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7574" name="Convert_450253" type="Convert" version="opset1">
+		<layer id="4982" name="Convert_176611" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U4">
@@ -107049,7 +76955,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7575" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="4983" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -107071,8 +76977,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7576" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="2560, 80, 1" offset="1698564292" size="409600" />
+		<layer id="4984" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="2560, 80, 1" offset="1439726792" size="409600" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -107081,7 +76987,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7577" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="4985" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -107103,15 +77009,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7578" name="Constant_450258" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="175743156" size="16" />
+		<layer id="4986" name="Constant_176616" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="170217656" size="16" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7579" name="Reshape_450259" type="Reshape" version="opset1">
+		<layer id="4987" name="Reshape_176617" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP16">
@@ -107130,8 +77036,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7580" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="4988" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>2560</dim>
@@ -107145,7 +77054,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7581" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="4989" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107166,17 +77075,31 @@
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 			</output>
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-			<data element_type="f32" shape="1, 1, 2560" offset="1698973892" size="10240" />
+		<layer id="4990" name="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.bias" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1440136392" size="5120" />
 			<output>
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-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.gpt_neox.layers.31.mlp.dense_4h_to_h.bias">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4991" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>2560</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
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 		</layer>
-		<layer id="7583" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/aten::linear/Add" type="Add" version="opset1">
+		<layer id="4992" name="__module.model.gpt_neox.layers.31.mlp.dense_4h_to_h/ov_ext::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -107185,20 +77108,18 @@
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 				<port id="1" precision="FP32">
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-					<dim>1</dim>
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 			<output>
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 		</layer>
-		<layer id="7584" name="__module.model.gpt_neox.layers.31/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="4993" name="__module.model.gpt_neox.layers.31/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
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@@ -107213,14 +77134,14 @@
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 			<output>
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 					<dim>2560</dim>
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-		<layer id="7585" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Constant" type="Const" version="opset1">
+		<layer id="4994" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply" type="Const" version="opset1">
 			<data element_type="i32" shape="1" offset="129257244" size="4" />
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@@ -107228,7 +77149,7 @@
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 		</layer>
-		<layer id="7586" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/MVN" type="MVN" version="opset6">
+		<layer id="4995" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -107248,8 +77169,8 @@
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-		<layer id="7587" name="Constant_325511" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 2560" offset="1698984132" size="10240" />
+		<layer id="4996" name="Constant_37159" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1440141512" size="10240" />
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 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -107258,7 +77179,7 @@
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 		</layer>
-		<layer id="7588" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="4997" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107280,8 +77201,8 @@
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-			<data element_type="f32" shape="1, 1, 2560" offset="1698994372" size="10240" />
+		<layer id="4998" name="Constant_37160" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 2560" offset="1440151752" size="10240" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -107290,7 +77211,7 @@
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 			</output>
 		</layer>
-		<layer id="7590" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="4999" name="__module.model.gpt_neox.final_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107305,15 +77226,15 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5079,5081">
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 					<dim>-1</dim>
 					<dim>2560</dim>
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-			<data element_type="u8" shape="50432, 2560" offset="1699004612" size="129105920" />
+		<layer id="5000" name="self.model.embed_out.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="50432, 2560" offset="1440161992" size="129105920" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>50432</dim>
@@ -107321,7 +77242,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7592" name="Convert_450263" type="Convert" version="opset1">
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 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -107336,8 +77257,8 @@
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 			</output>
 		</layer>
-		<layer id="7593" name="self.model.embed_out.weight/zero_point" type="Const" version="opset1">
-			<data element_type="u8" shape="50432, 1" offset="1828110532" size="50432" />
+		<layer id="5002" name="self.model.embed_out.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="50432, 1" offset="1569267912" size="50432" />
 			<output>
 				<port id="0" precision="U8">
 					<dim>50432</dim>
@@ -107345,7 +77266,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7594" name="Convert_450266" type="Convert" version="opset1">
+		<layer id="5003" name="Convert_175973" type="Convert" version="opset1">
 			<data destination_type="f16" />
 			<input>
 				<port id="0" precision="U8">
@@ -107360,7 +77281,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7595" name="self.model.embed_out.weight/zero_point/subtract" type="Subtract" version="opset1">
+		<layer id="5004" name="self.model.embed_out.weight/zero_point/subtract" type="Subtract" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -107379,8 +77300,8 @@
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 			</output>
 		</layer>
-		<layer id="7596" name="self.model.embed_out.weight/scale" type="Const" version="opset1">
-			<data element_type="f16" shape="50432, 1" offset="1828160964" size="100864" />
+		<layer id="5005" name="self.model.embed_out.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="50432, 1" offset="1569318344" size="100864" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>50432</dim>
@@ -107388,7 +77309,7 @@
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 			</output>
 		</layer>
-		<layer id="7597" name="self.model.embed_out.weight/fq_weights_1" type="Multiply" version="opset1">
+		<layer id="5006" name="self.model.embed_out.weight/fq_weights_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP16">
@@ -107407,8 +77328,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7598" name="self.model.embed_out.weight/fq_weights_1/convert" type="Convert" version="opset1">
+		<layer id="5007" name="__module.model.embed_out/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
 			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
 					<dim>50432</dim>
@@ -107422,7 +77346,7 @@
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 			</output>
 		</layer>
-		<layer id="7599" name="__module.model.embed_out/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="5008" name="__module.model.embed_out/ov_ext::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107443,7 +77367,7 @@
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 			</output>
 		</layer>
-		<layer id="7450" name="Assign_417283" type="Assign" version="opset6">
+		<layer id="4902" name="Assign_49735" type="Assign" version="opset6">
 			<data variable_id="past_key_values.0.keypresent.0.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107462,7 +77386,7 @@
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 			</output>
 		</layer>
-		<layer id="7449" name="Assign_417285" type="Assign" version="opset6">
+		<layer id="4901" name="Assign_49737" type="Assign" version="opset6">
 			<data variable_id="past_key_values.0.valuepresent.0.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107481,7 +77405,7 @@
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 			</output>
 		</layer>
-		<layer id="7448" name="Assign_417287" type="Assign" version="opset6">
+		<layer id="4900" name="Assign_49739" type="Assign" version="opset6">
 			<data variable_id="past_key_values.1.keypresent.1.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107500,7 +77424,7 @@
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 			</output>
 		</layer>
-		<layer id="7447" name="Assign_417289" type="Assign" version="opset6">
+		<layer id="4899" name="Assign_49741" type="Assign" version="opset6">
 			<data variable_id="past_key_values.1.valuepresent.1.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107519,7 +77443,7 @@
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 			</output>
 		</layer>
-		<layer id="7446" name="Assign_417291" type="Assign" version="opset6">
+		<layer id="4898" name="Assign_49743" type="Assign" version="opset6">
 			<data variable_id="past_key_values.10.keypresent.10.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107538,7 +77462,7 @@
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 			</output>
 		</layer>
-		<layer id="7445" name="Assign_417293" type="Assign" version="opset6">
+		<layer id="4897" name="Assign_49745" type="Assign" version="opset6">
 			<data variable_id="past_key_values.10.valuepresent.10.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107557,7 +77481,7 @@
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 			</output>
 		</layer>
-		<layer id="7444" name="Assign_417295" type="Assign" version="opset6">
+		<layer id="4896" name="Assign_49747" type="Assign" version="opset6">
 			<data variable_id="past_key_values.11.keypresent.11.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107576,7 +77500,7 @@
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 			</output>
 		</layer>
-		<layer id="7443" name="Assign_417297" type="Assign" version="opset6">
+		<layer id="4895" name="Assign_49749" type="Assign" version="opset6">
 			<data variable_id="past_key_values.11.valuepresent.11.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107595,7 +77519,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7442" name="Assign_417299" type="Assign" version="opset6">
+		<layer id="4894" name="Assign_49751" type="Assign" version="opset6">
 			<data variable_id="past_key_values.12.keypresent.12.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107614,7 +77538,7 @@
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 			</output>
 		</layer>
-		<layer id="7441" name="Assign_417301" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.12.valuepresent.12.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107633,7 +77557,7 @@
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 			</output>
 		</layer>
-		<layer id="7440" name="Assign_417303" type="Assign" version="opset6">
+		<layer id="4892" name="Assign_49755" type="Assign" version="opset6">
 			<data variable_id="past_key_values.13.keypresent.13.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107652,7 +77576,7 @@
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 			</output>
 		</layer>
-		<layer id="7439" name="Assign_417305" type="Assign" version="opset6">
+		<layer id="4891" name="Assign_49757" type="Assign" version="opset6">
 			<data variable_id="past_key_values.13.valuepresent.13.value" />
 			<input>
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@@ -107671,7 +77595,7 @@
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 		</layer>
-		<layer id="7438" name="Assign_417307" type="Assign" version="opset6">
+		<layer id="4890" name="Assign_49759" type="Assign" version="opset6">
 			<data variable_id="past_key_values.14.keypresent.14.key" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107690,7 +77614,7 @@
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 			</output>
 		</layer>
-		<layer id="7437" name="Assign_417309" type="Assign" version="opset6">
+		<layer id="4889" name="Assign_49761" type="Assign" version="opset6">
 			<data variable_id="past_key_values.14.valuepresent.14.value" />
 			<input>
 				<port id="0" precision="FP32">
@@ -107709,7 +77633,7 @@
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-		<layer id="7436" name="Assign_417311" type="Assign" version="opset6">
+		<layer id="4888" name="Assign_49763" type="Assign" version="opset6">
 			<data variable_id="past_key_values.15.keypresent.15.key" />
 			<input>
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@@ -107728,7 +77652,7 @@
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 			</output>
 		</layer>
-		<layer id="7435" name="Assign_417313" type="Assign" version="opset6">
+		<layer id="4887" name="Assign_49765" type="Assign" version="opset6">
 			<data variable_id="past_key_values.15.valuepresent.15.value" />
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@@ -107747,7 +77671,7 @@
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 			</output>
 		</layer>
-		<layer id="7434" name="Assign_417315" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.16.keypresent.16.key" />
 			<input>
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@@ -107766,7 +77690,7 @@
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-		<layer id="7433" name="Assign_417317" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.16.valuepresent.16.value" />
 			<input>
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@@ -107785,7 +77709,7 @@
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-		<layer id="7432" name="Assign_417319" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.17.keypresent.17.key" />
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@@ -107804,7 +77728,7 @@
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-		<layer id="7431" name="Assign_417321" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.17.valuepresent.17.value" />
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@@ -107823,7 +77747,7 @@
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-		<layer id="7430" name="Assign_417323" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.18.keypresent.18.key" />
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@@ -107842,7 +77766,7 @@
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-		<layer id="7429" name="Assign_417325" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.18.valuepresent.18.value" />
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@@ -107861,7 +77785,7 @@
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 			<data variable_id="past_key_values.19.keypresent.19.key" />
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@@ -107880,7 +77804,7 @@
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 			<data variable_id="past_key_values.19.valuepresent.19.value" />
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@@ -107899,7 +77823,7 @@
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-		<layer id="7426" name="Assign_417331" type="Assign" version="opset6">
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 			<data variable_id="past_key_values.2.keypresent.2.key" />
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@@ -107918,7 +77842,7 @@
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 			<data variable_id="past_key_values.2.valuepresent.2.value" />
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@@ -107937,7 +77861,7 @@
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 			<data variable_id="past_key_values.20.keypresent.20.key" />
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@@ -107956,7 +77880,7 @@
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 	</edges>
 	<rt_info>
-		<Runtime_version value="2024.2.0-15519-5c0f38f83f6-releases/2024/2" />
+		<Runtime_version value="2024.5.0-16901-32aaa2fbd96" />
 		<conversion_parameters>
 			<framework value="pytorch" />
 			<is_python_object value="True" />
@@ -117523,23 +84568,24 @@
 		<nncf>
 			<friendly_names_were_updated value="True" />
 			<weight_compression>
+				<advanced_parameters value="{'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}}" />
 				<all_layers value="False" />
 				<awq value="False" />
 				<gptq value="False" />
 				<group_size value="128" />
 				<ignored_scope value="[]" />
+				<lora_correction value="False" />
 				<mode value="int4_asym" />
-				<ratio value="0.8" />
-				<scale_estimation value="False" />
-				<sensitivity_metric value="weight_quantization_error" />
+				<ratio value="1.0" />
+				<scale_estimation value="True" />
+				<sensitivity_metric value="max_activation_variance" />
 			</weight_compression>
 		</nncf>
 		<optimum>
-			<nncf_version value="2.12.0.dev0+d033c6a8" />
-			<optimum_intel_version value="1.19.0.dev0+480eea1" />
-			<optimum_version value="1.21.2" />
-			<pytorch_version value="2.3.1+cpu" />
-			<transformers_version value="4.41.2" />
+			<optimum_intel_version value="1.20.0.dev0+2559620" />
+			<optimum_version value="1.23.1" />
+			<pytorch_version value="2.4.1+cpu" />
+			<transformers_version value="4.45.2" />
 		</optimum>
 	</rt_info>
 </net>