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Update README.md
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README.md
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inference: false
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license_name: llama3
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---
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# **Med42-v2 -
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Med42-v2 is a suite of open-access clinical large language models (LLM) instruct and preference-tuned by M42 to expand access to medical knowledge. Built off LLaMA-3 and comprising either 8 or 70 billion parameters, these generative AI system provide high-quality answers to medical questions.
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## Key performance metrics:
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- Med42-v2-70B outperforms GPT-4.0 in most of the MCQA tasks.
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- Med42-v2-70B achieves a MedQA zero-shot performance of 79.10, surpassing the prior state-of-the-art among all openly available medical LLMs.
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- Med42-v2-70B
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|Models|Elo Score|
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- M42’s privacy policy available at [https://m42.ae/privacy-policy/](https://m42.ae/privacy-policy/)
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- Reporting violations of the Acceptable Use Policy or unlicensed uses of Med42: <med42@m42.ae>
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## Citation
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```
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@article{
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title={
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author={Christophe, Cl{\'e}ment and Hayat, Nasir and Kanithi, Praveen and Al-Mahrooqi, Ahmed and Munjal, Prateek and
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journal={M42},
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year={
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}
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```
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inference: false
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license_name: llama3
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---
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# **Med42-v2 - A Suite of Clinically-aligned Large Language Models**
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Med42-v2 is a suite of open-access clinical large language models (LLM) instruct and preference-tuned by M42 to expand access to medical knowledge. Built off LLaMA-3 and comprising either 8 or 70 billion parameters, these generative AI system provide high-quality answers to medical questions.
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## Key performance metrics:
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- Med42-v2-70B outperforms GPT-4.0 in most of the MCQA tasks.
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- Med42-v2-70B achieves a MedQA zero-shot performance of 79.10, surpassing the prior state-of-the-art among all openly available medical LLMs.
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- Med42-v2-70B sits at the top of the Clinical Elo Rating Leaderboard.
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|Models|Elo Score|
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- M42’s privacy policy available at [https://m42.ae/privacy-policy/](https://m42.ae/privacy-policy/)
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- Reporting violations of the Acceptable Use Policy or unlicensed uses of Med42: <med42@m42.ae>
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## Acknowledgements
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## Citation
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```
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@article{christophe2024med42,
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title={Med42-v2 - A Suite of Clinically-aligned Large Language Models},
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author={Christophe, Cl{\'e}ment and Raha, Tathagata and Hayat, Nasir and Kanithi, Praveen and Al-Mahrooqi, Ahmed and Munjal, Prateek and Saadi, Nada and Javed, Hamza and Salman, Umar and Pimentel, Marco and Rajan, Ronnie and Khan, Shadab},
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journal={M42},
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year={2024}
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}
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```
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