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--- |
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license: llama2 |
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language: |
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- en |
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datasets: |
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- AGBonnet/augmented-clinical-notes |
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base_model: epfl-llm/meditron-7b |
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--- |
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<img width=20% src="medinote.png" title="logo"> |
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# Model Card for MediNote-7B-v1.0 |
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MediNote is a suite of open-source medical Large Language Models (LLMs) fine-tuned for clinical note generation from the [Meditron](https://arxiv.org/abs/2311.16079) foundation model. |
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MediNote-7B is a 7 billion parameters model trained to generate clinical notes from doctor-patient conversations. |
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## Model Details |
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- **Developed by:** [Antoine Bonnet](https://huggingface.co/AGBonnet) and Paul Boulenger |
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- **Model type:** Causal decoder-only transformer language model |
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- **Language(s):** English only |
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- **Model License:** [LLAMA 2 COMMUNITY LICENSE AGREEMENT](https://huggingface.co/meta-llama/Llama-2-70b/raw/main/LICENSE.txt) |
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- **Code License:** [MIT](https://opensource.org/license/mit/) |
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- **Fine-tuned from model:** [Meditron-7B.v1.0](https://huggingface.co/epfl-llm/meditron-7b) |
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- **Context length:** 2K tokens |
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- **Input:** Text-only data |
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- **Output:** Model generates text only |
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### Model Sources |
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- **Repository:** [EPFL-IC-Make-Team/ClinicalNotes](https://github.com/EPFL-IC-Make-Team/ClinicalNotes) |
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- **Trainer:** [epflLLM/Megatron-LLM](https://github.com/epfLLM/Megatron-LLM) |
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- **Paper:** *[MediNote: Automatic Clinical Notes]()* |
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## Uses |
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### Direct Use |
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It is possible to use this model to generate clinical notes, which is useful for experimentation and understanding its capabilities. |
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It should not be used directly for production or work that may impact people. |
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### Downstream Use |
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### Out-of-Scope Use |
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We do not recommend using this model for natural language generation in a production environment, finetuned or otherwise. |
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### Recommendations |
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## Citation |
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**BibTeX:** |
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If you use MediNote or its training data, please cite our work: |
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``` |
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ADD CITATION |
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``` |
