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--- |
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license: llama3 |
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datasets: |
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- Henrychur/MMedC |
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- Henrychur/MedS-Ins |
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language: |
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- en |
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base_model: Henrychur/MMedS-Llama-3-8B |
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tags: |
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- medical |
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library_name: transformers |
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--- |
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# MMedS-Llama3 |
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[💻Github Repo](https://github.com/MAGIC-AI4Med/MedS-Ins) [🖨️arXiv Paper](https://arxiv.org/abs/2408.12547) |
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The official codes for "Towards Evaluating and Building Versatile Large Language Models for Medicine" |
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## Introduction |
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This repository hosts MMedS-Llama-3-8B. Its foundation model, [MMed-Llama-3-8B](https://huggingface.co/Henrychur/MMed-Llama-3-8B), |
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is a multilingual medical language model which has undergone additional continuous pretraining on MMedC. Furthermore, the model has |
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been fine-tuned under supervision using MedS-Ins, a comprehensive dataset designed specifically for supervised fine-tuning (SFT), |
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featuring 13.5 million samples across 122 tasks. For more details, please refer to our paper. |
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## Usage |
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The model can be loaded as follows: |
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```py |
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import torch |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("Henrychur/MMed-Llama-3-8B-EnIns") |
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model = AutoModelForCausalLM.from_pretrained("Henrychur/MMed-Llama-3-8B-EnIns", torch_dtype=torch.float16) |
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``` |
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- Inference format is the same as Llama 3, you can check the inference code [here](https://github.com/MAGIC-AI4Med/MedS-Ins/blob/main/Inference/model.py). |
