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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+medinote-7b - GGUF
+- Model creator: https://huggingface.co/AGBonnet/
+- Original model: https://huggingface.co/AGBonnet/medinote-7b/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [medinote-7b.Q2_K.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q2_K.gguf) | Q2_K | 2.36GB |
+| [medinote-7b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.IQ3_XS.gguf) | IQ3_XS | 2.6GB |
+| [medinote-7b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.IQ3_S.gguf) | IQ3_S | 2.75GB |
+| [medinote-7b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q3_K_S.gguf) | Q3_K_S | 2.75GB |
+| [medinote-7b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.IQ3_M.gguf) | IQ3_M | 2.9GB |
+| [medinote-7b.Q3_K.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q3_K.gguf) | Q3_K | 3.07GB |
+| [medinote-7b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q3_K_M.gguf) | Q3_K_M | 3.07GB |
+| [medinote-7b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q3_K_L.gguf) | Q3_K_L | 3.35GB |
+| [medinote-7b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.IQ4_XS.gguf) | IQ4_XS | 3.4GB |
+| [medinote-7b.Q4_0.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q4_0.gguf) | Q4_0 | 3.56GB |
+| [medinote-7b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.IQ4_NL.gguf) | IQ4_NL | 3.58GB |
+| [medinote-7b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q4_K_S.gguf) | Q4_K_S | 3.59GB |
+| [medinote-7b.Q4_K.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q4_K.gguf) | Q4_K | 3.8GB |
+| [medinote-7b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q4_K_M.gguf) | Q4_K_M | 3.8GB |
+| [medinote-7b.Q4_1.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q4_1.gguf) | Q4_1 | 3.95GB |
+| [medinote-7b.Q5_0.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q5_0.gguf) | Q5_0 | 4.33GB |
+| [medinote-7b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q5_K_S.gguf) | Q5_K_S | 4.33GB |
+| [medinote-7b.Q5_K.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q5_K.gguf) | Q5_K | 4.45GB |
+| [medinote-7b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q5_K_M.gguf) | Q5_K_M | 4.45GB |
+| [medinote-7b.Q5_1.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q5_1.gguf) | Q5_1 | 4.72GB |
+| [medinote-7b.Q6_K.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q6_K.gguf) | Q6_K | 5.15GB |
+| [medinote-7b.Q8_0.gguf](https://huggingface.co/RichardErkhov/AGBonnet_-_medinote-7b-gguf/blob/main/medinote-7b.Q8_0.gguf) | Q8_0 | 6.67GB |
+
+
+
+
+Original model description:
+---
+license: llama2
+language:
+- en
+datasets:
+- AGBonnet/augmented-clinical-notes
+base_model: epfl-llm/meditron-7b
+---
+<img width=20% src="medinote.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](https://huggingface.co/paulblger)
+- **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:**  Patient-doctor conversation transcripts (text)
+- **Output:**  Clinical notes (text)
+- **Repository:** [EPFL-IC-Make-Team/ClinicalNotes](https://github.com/EPFL-IC-Make-Team/ClinicalNotes)
+- **Trainer:** [epflLLM/Megatron-LLM](https://github.com/epfLLM/Megatron-LLM)
+- **Report:** *[MediNote: Automatic Clinical Notes](https://github.com/EPFL-IC-Make-Team/medinote/blob/main/report.pdf)*
+
+<p align="center">
+  <img width=70% src="model_pipeline.pdf" alt="Model pipeline" title="Model pipeline">
+</p>
+
+
+## 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.
+
+### Out-of-Scope Use
+
+This model is not yet robust enough for use in a real clinical setting. 
+We do not recommend using this model for natural language generation in a production environment. 
+
+