Overview

AshleyQu0311/dpo-qwen-cot-merged is a 4 billion parameter language model built upon the Qwen3-4B-Instruct-2507 base model. It has been fine-tuned using Direct Preference Optimization (DPO) with the Unsloth library, resulting in a full-merged 16-bit weight model that requires no adapter loading.

Key Capabilities

• Enhanced Reasoning: Optimized to improve Chain-of-Thought (CoT) reasoning, making it suitable for tasks requiring multi-step logical deduction.
• Structured Response Quality: Aligned to produce preferred outputs and higher quality structured responses based on its DPO training.
• Efficient Deployment: Provided as a fully merged model, simplifying integration and usage with the transformers library.

Training Details

The model underwent 1 epoch of DPO training with a learning rate of 5e-07 and a beta value of 0.1. It utilized a maximum sequence length of 1024 during training and incorporated LoRA configuration (r=8, alpha=16) which was subsequently merged into the base model. The training data used was u-10bei/dpo-dataset-qwen-cot.

Licensing

This model is released under the MIT License, consistent with its training dataset. Users must also adhere to the license terms of the original Qwen3 base model.