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title: README |
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We are the LLM team at EPFL (Swiss Federal Institute of Technology), led by Prof. Antoine Bosselut from [NLP lab](https://nlp.epfl.ch), Prof. Martin Jaggi from [MLO lab](https://www.epfl.ch/labs/mlo/) and Prof. Mary-Anne Hartley from [LiGHT lab](https://www.yale-light.org). |
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<img src="medllama.jpeg" width="35%"> |
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Our latest project is **MEDITRON**, currently the best open-source medical Large Language Model in the world. |
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We've publicly released the weights for [Meditron-70B](https://huggingface.co/epfl-llm/meditron-70b) and [Meditron-7B](https://huggingface.co/epfl-llm/meditron-7b) on Huggingface. |
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- 🦾 **GitHub**: [epfLLM/meditron](https://github.com/epfLLM/meditron) and [epfLLM/Megatron-LLM](https://github.com/epfLLM/Megatron-LLM) |
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- 📖 **Paper**: [MEDITRON-70B: Scaling Medical Pre-Training For Large Language Models](https://arxiv.org/abs/2311.16079) (pre-print) |
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- 🗞️ **Press Release**: [EPFL's new Large Language Model for Medical Knowledge](https://actu.epfl.ch/news/epfl-s-new-large-language-model-for-medical-knowle/) |
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- 🧬 **NEW medical dataset**: [Clinical Guidelines Corpus](https://huggingface.co/datasets/epfl-llm/guidelines) |
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