--- base_model: unsloth/qwen3-4b-unsloth-bnb-4bit tags: - text-generation-inference - transformers - unsloth - qwen3 - trl license: apache-2.0 language: - en datasets: - FreedomIntelligence/medical-o1-reasoning-SFT --- # Uploaded finetuned model - **Developed by:** Dario213 - **License:** apache-2.0 - **Finetuned from model :** unsloth/qwen3-4b-unsloth-bnb-4bit This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth) # Training setup - The model was trained with LoRA adapters on all modules with rank 8. Dataset used for fine-tuning is (FreedomIntelligence/medical-o1-reasoning-SFT)[https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT] - SFTConfig arguments: - warmup_steps=5 - learning_rate=2e-4 - optim="adamw_8bit" - weight_decay=0.001 - lr_scheduler_type="linear" - seed=5127 # Citations ``` @misc{chen2024huatuogpto1medicalcomplexreasoning, title={HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs}, author={Junying Chen and Zhenyang Cai and Ke Ji and Xidong Wang and Wanlong Liu and Rongsheng Wang and Jianye Hou and Benyou Wang}, year={2024}, eprint={2412.18925}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2412.18925}, } @misc{qwen3technicalreport, title={Qwen3 Technical Report}, author={Qwen Team}, year={2025}, eprint={2505.09388}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2505.09388}, } ```