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--- |
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license: mit |
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language: |
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- en |
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- fr |
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- es |
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base_model: |
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- unsloth/medgemma-12b-it-bnb-4bit |
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tags: |
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- medical |
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--- |
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## MOSAIC 12B |
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<img src="https://raw.githubusercontent.com/aliswh/mosaic/refs/heads/main/mosaic-icon.png" alt="Mosaic logo" width="200"/> |
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MOSAIC is a framework for efficient radiological report classification that is: |
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- 🌐 Multilingual: Works across different languages |
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- 🎯 Taxonomy-Agnostic: Adapts to various classification schemes |
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- ⚡ Computationally Efficient: Optimized for resource usage |
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## Training code |
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Code available on [GitHub](https://github.com/aliswh/mosaic). |
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## References |
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[Model Paper](https://arxiv.org/abs/2509.04471) |
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A 4B model version is available at [AliceSch/mosaic-4b](https://huggingface.co/AliceSch/mosaic-4b). |
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Please cite this model as: |
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``` |
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@article{schiavone2025mosaic, |
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title={MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification}, |
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author={Schiavone, Alice and Fraccaro, Marco and Pehrson, Lea Marie and Ingala, Silvia and Bonnevie, Rasmus and Nielsen, Michael Bachmann and Beliveau, Vincent and Ganz, Melanie and Elliott, Desmond}, |
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journal={arXiv preprint arXiv:2509.04471}, |
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year={2025} |
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} |
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``` |
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