OpenMEDLab
/

PULSE-20bv5

@@ -1,202 +1,92 @@
 ---
-# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
-# Doc / guide: https://huggingface.co/docs/hub/model-cards
-{}
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-### Model Sources [optional]
-<!-- Provide the basic links for the model. -->
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-## Uses
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-### Direct Use
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-[More Information Needed]
-### Downstream Use [optional]
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-[More Information Needed]
-### Out-of-Scope Use
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-[More Information Needed]
-## Bias, Risks, and Limitations
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
-### Recommendations
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-## How to Get Started with the Model
-Use the code below to get started with the model.
-[More Information Needed]
-## Training Details
-### Training Data
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-[More Information Needed]
-### Training Procedure
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-#### Preprocessing [optional]
-[More Information Needed]
-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-#### Speeds, Sizes, Times [optional]
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-[More Information Needed]
-## Evaluation
-<!-- This section describes the evaluation protocols and provides the results. -->
-### Testing Data, Factors & Metrics
-#### Testing Data
-<!-- This should link to a Dataset Card if possible. -->
-[More Information Needed]
-#### Factors
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-[More Information Needed]
-#### Metrics
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-[More Information Needed]
-### Results
-[More Information Needed]
-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
-[More Information Needed]
-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-## Technical Specifications [optional]
-### Model Architecture and Objective
-[More Information Needed]
-### Compute Infrastructure
-[More Information Needed]
-#### Hardware
-[More Information Needed]
-#### Software
-[More Information Needed]
-## Citation [optional]
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-**BibTeX:**
-[More Information Needed]
-**APA:**
-[More Information Needed]
-## Glossary [optional]
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
-## Model Card Authors [optional]
-[More Information Needed]
-## Model Card Contact
-[More Information Needed]

 ---
+license: agpl-3.0
+language:
+- zh
+tags:
+- PULSE
+- llm
 ---
+# PULSE
+[![Code License](https://img.shields.io/badge/Code%20License-Apache_2.0-brightgreen.svg)](https://github.com/openmedlab/PULSE/blob/main/LICENSE)
+[![Model License](https://img.shields.io/badge/Model%20License-GNU%20AGPL%203.0-red.svg)](https://github.com/openmedlab/PULSE/blob/main/MODEL_LICENSE)
+## 目录
+- [开源模型](#开源模型)
+- [模型介绍](#模型介绍)
+  - [局限性](#局限性)
+  - [Elo评测](#Elo评测)
+- [推理](#推理)
+  - [硬件要求](#硬件要求)
+  - [下载安装](#下载安装)
+  - [使用示例](#使用示例)
+- [致谢](#致谢)
+- [开源协议](#开源协议)
+----
+## 开源模型
+- [**PULSE-20bv5**](https://huggingface.co/OpenMEDLab/PULSE-20bv5)
+## 模型介绍
+- **大规模训练**：PULSE模型在[internlm-20b](https://huggingface.co/internlm/internlm-20b)模型的基础上，
+使用约4,000,000个医学领域和通用领域的SFT数据进行进一步微调。
+- **全面的医学自然语言处理任务**：PULSE支持医学领域的各种自然语
+言处理任务，包括健康教育、医师考试问题、报告解读、医疗记录结构化
+以及模拟诊断和治疗。
+### 局限性
+由于模型参数量较小和自回归生成范式，尽管模型提供了有关疾病诊断和治疗的推理结果，但这些结果不能代替线下职业医生的建议和治疗方案。所有回答仅供参考，不应作为诊断或治疗的依据。我们强烈建议用户在需要诊断或治疗疾病时，寻求专业医生的帮助和建议。
+## 推理
+### 下载安装
+1. 下载本仓库内容至本地/远程服务器
+```bash
+git clone https://github.com/openmedlab/PULSE
+cd PULSE
+```
+2. 创建conda环境安装依赖
+```bash
+conda env create -f llm.yml
+conda activate llm
+```
+其中`torch`和`transformers`版本不建议低于推荐版本。
+### 使用示例
+#### 网页Demo
+**Gradio**
+```bash
+python web_demo_gradio.py
+```
+#### 命令行Demo
+您可以运行仓库中的`cli_demo.py`来启动一个简单的命令行Demo：
+```bash
+python cli_demo.py
+```
+## 致谢
+- 上海人工智能实验室
+- 上海交通大学-清源研究院
+- 华东理工大学-自然语言处理与大数据挖掘实验室
+## 开源协议
+本项目所含代码采用[Apache 2.0](https://github.com/openmedlab/PULSE/blob/main/LICENSE)协议，模型权重采用[GNU AGPL 3.0](https://github.com/openmedlab/PULSE/blob/main/MODEL_LICENSE)协议。如使用本项目所含模型及其修改版本提供服务产生误导性或有害性言论，造成不良影响，由服务提供方负责，与本项目无关。