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  - **License:** apache-2.0
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  - **Finetuned from model :** unsloth/DeepSeek-R1-Distill-Qwen-1.5B-unsloth-bnb-4bit
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  This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
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  - **License:** apache-2.0
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  - **Finetuned from model :** unsloth/DeepSeek-R1-Distill-Qwen-1.5B-unsloth-bnb-4bit
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+ Finetuned Qwen1.5B (R1 Distilled Version) on [this dataset](https://huggingface.co/datasets/tcotter/o1-medical-data-reasoning-w-summary),
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+ which comes from [this dataset](https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT) but with an
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+ additional "summary" produced by an in-house synthetic data generator.
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+
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+ This LoRA is therefore a LoRA which helps the model return a "\n\nFinal Answer: ..." after it's reasoning and initial response steps.
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+
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  This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)