fine tuned on kaist-ai/CoT-Collection in A100 Google Collab

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "/kaggle/input/mistral/pytorch/7b-instruct-v0.1-hf/1",
+  "base_model_name_or_path": null,
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
@@ -20,13 +20,7 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "gate_proj",
-    "up_proj",
-    "k_proj",
-    "v_proj",
-    "q_proj",
-    "down_proj",
-    "o_proj"
+    "base_layer"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:66ed3b74791e4d9042bb6a2d92b6a646fa13ff920d3ba289d0bb42c8a674af1b
-size 167832240
+oid sha256:74e4e062856f56c75ca5808a685e9da1cb452a737fe3edb87e864a548e649152
+size 335685200