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README.md

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 ---
-license: mit
+license: llama2
+language:
+- en
+datasets:
+- AGBonnet/augmented-clinical-notes
+base_model: epfl-llm/meditron-7b
 ---
+<img width=50% src="logo.png" title="logo">
+
+# Model Card for MediNote-7B-v1.0
+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. 
+MediNote-7B is a 7 billion parameters model trained to generate clinical notes from doctor-patient conversations. 
+
+## Model Details
+
+- **Developed by:** [Antoine Bonnet](https://huggingface.co/AGBonnet) and Paul Boulenger
+- **Model type:** Causal decoder-only transformer language model
+- **Language(s):** English only
+- **Model License:** [LLAMA 2 COMMUNITY LICENSE AGREEMENT](https://huggingface.co/meta-llama/Llama-2-70b/raw/main/LICENSE.txt)
+- **Code License:** [MIT](https://opensource.org/license/mit/)
+- **Fine-tuned from model:** [Meditron-7B.v1.0](https://huggingface.co/epfl-llm/meditron-7b)
+- **Context length:**  2K tokens
+- **Input:**  Text-only data
+- **Output:**  Model generates text only
+
+### Model Sources
+
+- **Repository:** [EPFL-IC-Make-Team/ClinicalNotes](https://github.com/EPFL-IC-Make-Team/ClinicalNotes)
+- **Trainer:** [epflLLM/Megatron-LLM](https://github.com/epfLLM/Megatron-LLM)
+- **Paper:** *[MediNote: Automatic Clinical Notes]()*
+
+## Uses
+
+### Direct Use
+
+It is possible to use this model to generate clinical notes, which is useful for experimentation and understanding its capabilities. 
+It should not be used directly for production or work that may impact people.
+
+### Downstream Use
+
+### Out-of-Scope Use
+
+We do not recommend using this model for natural language generation in a production environment, finetuned or otherwise.
+
+### Recommendations
+
+## Citation
+
+**BibTeX:**
+If you use MediNote or its training data, please cite our work:
+
+```
+ADD CITATION
+```