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README.md

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+
+---
+source_model: DavidAU/Psyonic-Cetacean-full-precision
+original_merge: jebcarter/psyonic-cetacean-20B
+language:
+  - en
+library_name: transformers
+license: apache-2.0
+quantized_by: Absurd
+
+---
+
+
+<h3> static exl2 quants of https://huggingface.co/DavidAU/Psyonic-Cetacean-full-precision <h3>
+
+<h3> original merge https://huggingface.co/jebcarter/psyonic-cetacean-20B <h3>
+
+
+Used original model's tokenizer to fix a small issue with DavidAU's f32 repo.

added_tokens.json

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+{
+  "</s>": 2,
+  "<s>": 1,
+  "<unk>": 0
+}

config.json

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+{
+    "_name_or_path": "F:/13B/Orca-2-13b_flat",
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 13824,
+    "max_position_embeddings": 4096,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 40,
+    "num_hidden_layers": 62,
+    "num_key_value_heads": 40,
+    "pad_token_id": 0,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 10000.0,
+    "tie_word_embeddings": false,
+    "torch_dtype": "float32",
+    "transformers_version": "4.42.0.dev0",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.3",
+        "bits": 4.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

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