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---
license: apache-2.0
tags:
- unsloth
- trl
- sft
- medical
- reasoning
datasets:
- FreedomIntelligence/medical-o1-reasoning-SFT
language:
- en
base_model:
- Qwen/Qwen3-0.6B
pipeline_tag: text-generation
library_name: transformers
---
# Qwen3-0.6B-Medical-Expert
This project performs full fine-tuning on the **Qwen3-0.6B** language model to enhance its **medical reasoning** and **clinical understanding** capabilities. Training was conducted on the `FreedomIntelligence/medical-o1-reasoning-SFT` dataset using bfloat16 (bf16) precision for efficient optimization.
## Training Procedure
1. **Dataset Preparation**
* The `FreedomIntelligence/medical-o1-reasoning-SFT` dataset was used.
* Each example consists of medically relevant instructions or questions paired with detailed, step-by-step clinical reasoning responses.
* Prompts were structured to encourage safe, factual, and coherent medical reasoning chains.
2. **Model Loading and Configuration**
* Qwen3 base model weights were loaded via the `unsloth` library in bf16 precision.
* All model layers were fully updated (`full_finetuning=True`) to effectively adapt the model to medical reasoning and decision-making tasks.
3. **Supervised Fine-Tuning**
* Fine-tuning was conducted using the Hugging Face TRL library with the Supervised Fine-Tuning (SFT) approach.
* The model was trained to follow clinical instructions, interpret symptoms, and generate reasoned diagnoses or treatment suggestions.
## Purpose and Outcome
* The models ability to interpret medical instructions and generate step-by-step clinical reasoning has been significantly enhanced.
* It produces responses that combine factual accuracy with transparent reasoning, making it useful in educational and assistive medical AI contexts.
## License
This project is licensed under the Apache License 2.0. See the [LICENSE](./LICENSE) file for details.
## Support
<a href="https://www.buymeacoffee.com/suayptalha" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>