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| title: README | |
| emoji: π | |
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| https://cdn-avatars.huggingface.co/v1/production/uploads/66ea90952fef8317d8fba8ec/SgCp3hhhVu3HCuHt8sYn5.png | |
| ## About Us | |
| Meet **LiGHT**, the [Laboratory for Intelligent Global Health & Humanitarian Response Technologies](https://www.light-laboratory.org/), based at EPFL (School of Computer Science), Ariadne Labs (Harvard), and the Koita Centre for Digital Health at [Ashoka University](https://www.ashoka.edu.in/). | |
| <p align="center"> | |
| <img src="banner_light_account.png" alt="LiGHT Logo" /> | |
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| We build clinically grounded, auditable AI for medicine β co-designed and evaluated with clinicians, humanitarian responders, and data scientists worldwide. | |
| --- | |
| ## MeditronFO | |
| Our latest release, **MeditronFO** (Fully Open), is the **first** fully open medical specialist LLM familly: open weights, open data, open training recipe, and clinician-vetted corpus construction. | |
| **Apertus-70B-MeditronFO** establishes a new state of the art among fully open medical LLMs, and **Gemma-3-27B-MeditronFO** outperforms MedGemma on HealthBench Hard and AutoMOOVE despite being trained from a fully open pipeline. | |
| π Browse the [**MeditronFO Collection**](https://huggingface.co/collections/EPFLiGHT/meditronfo) β six models across three families (Apertus, OLMo-2, EuroLLM, Gemma-3), plus the [Fully Open Meditron Corpus](https://huggingface.co/datasets/EPFLiGHT/fully-open-meditron) (~601k clinician-audited examples). | |
| π **Paper:** [Fully Open Meditron: An Auditable Pipeline for Clinical LLMs](https://arxiv.org/abs/2605.16215) | |
| --- | |
| #### π Stay connected | |
| - **Prof:** [Annie Hartley](https://www.linkedin.com/in/annie-hartley-324832210/) | |
| - **Lab:** [light-laboratory.org](https://www.light-laboratory.org/) |