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title: BioMistral | |
emoji: π¨ββοΈ | |
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BioMistral 7B is the best performing open-source medical Large Language Model (LLM) in this weight category. | |
We've publicly released the weights for BioMistral 7B on Huggingface and our full multilingual benchmark on GitHub. | |
- π° Paper: BioMistral: <a href="https://arxiv.org/abs/2402.10373"> A Collection of Open-Source Pretrained Large Language Models for Medical Domains</a> (pre-print) | |
- π Multilingual medical benchmark : <a href="https://huggingface.co./datasets/BioMistral/BioInstructQA">BioMistral/BioInstructQA</a> | |
- π©βπ» GitHub: <a href="https://github.com/BioMistral/BioMistral">BioMistral/BioMistral</a> | |
This project is the result of the collaboration between: | |
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<td>ποΈ <a href="https://lia.univ-avignon.fr/">LIA - Avignon University (1)</a></td> | |
<td>ποΈ <a href="https://www.ls2n.fr/">LS2N - Nantes University (3)</a></td> | |
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<td>π₯ <a href="https://www.chu-nantes.fr/unite-recherche-2">Nantes University Hospital (2)</a></td> | |
<td>π’ <a href="https://zenidoc.fr/">Zenidoc (4)</a></td> | |
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**Authors** : Yanis LABRAK (1,4) ; Adrien BAZOGE (2,3) ; Emmanuel MORIN (3) ; Pierre-Antoine GOURAUD (2) ; MickaΓ«l ROUVIER (1) ; Richard DUFOUR (3) | |
**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. | |