Model Overview

This model, harutoshi/dpo-qwen-cot-merged, is a 4 billion parameter language model based on the Qwen/Qwen3-4B-Instruct-2507 architecture. It has been fine-tuned using Direct Preference Optimization (DPO) via the Unsloth library to align its responses with preferred outputs.

Key Capabilities

• Enhanced Reasoning: Optimized to improve Chain-of-Thought (CoT) reasoning, leading to more logical and structured responses.
• Structured Output Quality: Focuses on generating higher quality, aligned outputs based on preference datasets.
• Direct Use: Provided as full-merged 16-bit weights, eliminating the need for adapter loading and allowing direct use with transformers.

Training Details

The model underwent DPO training for 1 epoch with a learning rate of 1e-07 and a beta value of 0.1. The maximum sequence length used during training was 1024. The LoRA configuration (r=8, alpha=16) was merged into the base model.

Licensing

This model operates under the MIT License, as per the terms of its training data (u-10bei/dpo-dataset-qwen-cot). Users must also adhere to the license terms of the original base model, Qwen/Qwen3-4B-Instruct-2507.