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README.md

@@ -1,21 +1,64 @@
 ---
-base_model: unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- qwen3
-license: apache-2.0
+base_model: Qwen/Qwen3-4B-Instruct-2507
+datasets:
+- u-10bei/dpo-dataset-qwen-cot
 language:
 - en
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- dpo
+- qwen
+- alignment
+- silent-cot
+- structured-output
 ---
 
-# Uploaded finetuned  model
+# Qwen3-4B-DPO-Silent-Format
+
+This model is a fine-tuned version of **Qwen/Qwen3-4B-Instruct-2507** using **Direct Preference Optimization (DPO)**.
+
+## 🎯 Training Objective
+Unlike typical CoT (Chain-of-Thought) tuning, this model is optimized to **suppress verbose reasoning** and enforce **strict structured output compliance**.
+
+The goal is to prevent parse errors by outputting data (JSON/TOML) directly without preamble (e.g., removing "Approach:" or "Here is the code").
+
+## Training Configuration
+- **Base model**: Qwen/Qwen3-4B-Instruct-2507
+- **Method**: DPO (Direct Preference Optimization)
+- **Epochs**: 1
+- **Learning rate**: 1e-6
+- **Beta**: 0.05 (Strict penalty for deviating from chosen data)
+- **Max sequence length**: 2048
+- **LoRA Config**: r=16, alpha=32 (merged into base)
+
+## Usage
+Since this is a merged model, you can use it directly with `transformers`.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_id = "your_id/your-repo-name"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+# Test inference: The model should respond directly without "Approach:"
+prompt = "Output a JSON for a user named Alice."
+inputs = tokenizer.apply_chat_template([{ "role": "user", "content": prompt }], tokenize=True, add_generation_prompt=True, return_tensors="pt").to("cuda")
+outputs = model.generate(**inputs, max_new_tokens=512)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
-- **Developed by:** naru0411
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit
+```
 
-This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## Sources & License (IMPORTANT)
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+* **Training Data**: [u-10bei/dpo-dataset-qwen-cot]
+* **License**: MIT License. (As per dataset terms).
+* **Compliance**: Users must follow the original base model's license terms.