初始化项目，由ModelHub XC社区提供模型

Model: Henrychur/MMedS-Llama-3-8B
Source: Original Platform

README.md

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