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README.md
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<img src="https://huggingface.co/BioMistral/BioMistral-7B/resolve/main/wordart_blue_m_rectangle.png?download=true" alt="drawing" width="250"/>
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BioMistral is
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<img src="https://huggingface.co/BioMistral/BioMistral-7B/resolve/main/wordart_blue_m_rectangle.png?download=true" alt="drawing" width="250"/>
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</p>
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BioMistral 7B is the best performing open-source medical Large Language Model (LLM) in this weight category.
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We've publicly released the weights for BioMistral 7B on Huggingface and our full multilingual benchmark on GitHub.
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- π° Paper: BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains (pre-print)
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- π Multilingual medical benchmark : <a href="https://huggingface.co/datasets/BioMistral/BioInstructQA">BioMistral/BioInstructQA</a>
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- π©βπ» GitHub: <a href="https://github.com/BioMistral/BioMistral">BioMistral/BioMistral</a>
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This project is the result of the collaboration between:
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- ποΈ <a href="https://lia.univ-avignon.fr/">LIA - Avignon University</a>
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- ποΈ <a href="https://www.ls2n.fr/">LS2N - Nantes University</a>
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- π₯ <a href="https://www.chu-nantes.fr/clinique-des-donnees">CHU de Nantes</a>
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- π’ <a href="https://zenidoc.fr/">Zenidoc</a>
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**Caution:** We recommend using BioMistral 7B strictly as a research tool and advise against deploying it in production environments for natural language generation or any professional health and medical purposes.
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