Upload LoRA adapter (README written by author)

README.md

@@ -1,7 +1,7 @@
 ---
 base_model: Qwen/Qwen3-4B-Instruct-2507
 datasets:
-- daichira/structured-3k-mix-sft
+- u-10bei/structured_data_with_cot_dataset_512_v2
 language:
 - en
 license: apache-2.0
@@ -35,7 +35,7 @@ while intermediate reasoning (Chain-of-Thought) is masked.
 - Method: QLoRA (4-bit)
 - Max sequence length: 768
 - Epochs: 1
-- Learning rate: 2e-04
+- Learning rate: 5e-04
 - LoRA: r=64, alpha=128
 
 ## Usage
@@ -59,7 +59,7 @@ model = PeftModel.from_pretrained(model, adapter)
 
 ## Sources & Terms (IMPORTANT)
 
-Training data: daichira/structured-3k-mix-sft
+Training data: u-10bei/structured_data_with_cot_dataset_512_v2
 
 Dataset License: MIT License. This dataset is used and distributed under the terms of the MIT License.
 Compliance: Users must comply with the MIT license (including copyright notice) and the base model's original terms of use.

adapter_config.json

@@ -33,13 +33,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "k_proj",
-    "up_proj",
-    "v_proj",
+    "gate_proj",
     "o_proj",
+    "down_proj",
     "q_proj",
-    "gate_proj",
-    "down_proj"
+    "v_proj",
+    "up_proj",
+    "k_proj"
   ],
   "target_parameters": null,
   "task_type": "CAUSAL_LM",

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:61a8e4809816535505832ffeb01a349eb4090eee7d57964b961531769444e70d
 size 528550256