Trained on the Falcon 7b

README.md

@@ -1,11 +1,6 @@
 ---
 library_name: peft
-inference: true
-base_model: bigscience/bloom-7b1
-license: apache-2.0
-tags:
-- text-generation-inference
-pipeline_tag: text-generation
+base_model: tiiuae/falcon-7b
 ---
 
 # Model Card for Model ID
@@ -222,4 +217,4 @@ The following `bitsandbytes` quantization config was used during training:
 ### Framework versions
 
 
-- PEFT 0.6.3.dev0
+- PEFT 0.6.3.dev0

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "bigscience/bloom-7b1",
+  "base_model_name_or_path": "tiiuae/falcon-7b",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aea7641e4a15e51d992b1b9b5ef5ee0d8ef24e9e4a85234e40329f4dc2c6944a
-size 31466288
+oid sha256:f24ca81da2ed2a1804ef875a0a761fd691cc80bfc53ddcaeeb786d30aa636b14
+size 18883912