240 lines
11 KiB
Markdown
240 lines
11 KiB
Markdown
# EmoLLM - Large Languge Model for Mental Health
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<!-- PROJECT SHIELDS -->
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[![Contributors][contributors-shield]][contributors-url]
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[![Forks][forks-shield]][forks-url]
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[![Issues][issues-shield]][issues-url]
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[![MIT License][license-shield]][license-url]
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[![Stargazers][stars-shield]][stars-url]
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<br />
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<!-- PROJECT LOGO -->
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<p align="center">
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<a href="https://github.com/aJupyter/EmoLLM/">
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<img src="assets/logo.jpeg" alt="Logo" width="30%">
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</a>
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<h3 align="center">EmoLLM</h3>
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<p align="center">
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<a href="README.md">简体中文</a> | English
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<br />
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<br />
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<a href="https://github.com/aJupyter/EmoLLM"><strong>Explore the documentation of this project »</strong></a>
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<br />
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<br />
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<a href="https://github.com/aJupyter/EmoLLM/tree/main/demo">View the Demo</a>
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·
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<a href="https://github.com/aJupyter/EmoLLM/issues">Report a Bug</a>
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·
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<a href="https://github.com/aJupyter/EmoLLM/issues">Propose a New Feature</a>
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</p>
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</p>
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<!-- 本篇README.md面向开发者 -->
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**EmoLLM** is a series of large language models designed to understand, support and help customers in mental health counseling. It is fine-tuned from the LLM instructions. We really appreciate it if you can give it a star~⭐⭐. The open-sourced configuration is as follows:
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| model | type |
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| :-------------------: | :------: |
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| InternLM2_7B_chat | qlora |
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| InternLM2_1_8B_chat | full finetuning |
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| Qwen_7b_chat | qlora |
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| Qwen1_5-0_5B-Chat | full finetuning |
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| Baichuan2_13B_chat | qlora |
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| ChatGLM3_6B | lora |
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| DeepSeek MoE_16B_chat | qlora |
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| Mixtral 8x7B_instruct | qlora |
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| …… | …… |
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Everyone is welcome to contribute to this project ~
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---
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The Model is aimed at fully understanding and promoting the mental health of individuals, groups, and society. This model typically includes the following key components:
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- Cognitive factors: Involving an individual's thought patterns, belief systems, cognitive biases, and problem-solving abilities. Cognitive factors significantly impact mental health as they affect how individuals interpret and respond to life events.
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- Emotional factors: Including emotion regulation, emotional expression, and emotional experiences. Emotional health is a crucial part of mental health, involving how individuals manage and express their emotions and how they recover from negative emotions.
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- Behavioral factors: Concerning an individual's behavior patterns, habits, and coping strategies. This includes stress management skills, social skills, and self-efficacy, which is the confidence in one's abilities.
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- Social environment: Comprising external factors such as family, work, community, and cultural background, which have direct and indirect impacts on an individual's mental health.
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- Physical health: There is a close relationship between physical and mental health. Good physical health can promote mental health and vice versa.
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- Psychological resilience: Refers to an individual's ability to recover from adversity and adapt. Those with strong psychological resilience can bounce back from challenges and learn and grow from them.
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- Prevention and intervention measures: The Mental Health Grand Model also includes strategies for preventing psychological issues and promoting mental health, such as psychological education, counseling, therapy, and social support systems.
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- Assessment and diagnostic tools: Effective promotion of mental health requires scientific tools to assess individuals' psychological states and diagnose potential psychological issues.
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### Recent Updates
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- 【2024.2.23】The "Gentle Lady Psychologist Ai Wei" based on InternLM2_7B_chat_qlora was launched. [Click here to obtain the model weights](https://openxlab.org.cn/models/detail/ajupyter/EmoLLM_aiwei), [configuration file](xtuner_config/aiwei-internlm2_chat_7b_qlora.py), [online experience link](https://openxlab.org.cn/apps/detail/ajupyter/EmoLLM_aiwei)
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- 【2024.2.23】Updated [several fine-tuning configurations](/xtuner_config/), added [data_pro.json](/datasets/data_pro.json) (more quantity, more comprehensive scenarios, richer content) and [aiwei.json](/datasets/aiwei.json) (dedicated to the gentle lady role-play, featuring Emoji expressions), the "Gentle Lady Psychologist Ai Wei" is coming soon.
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- 【2024.2.18】 The full fine-tuned version based on Qwen1_5-0_5B-Chat has been [open-sourced](https://www.modelscope.cn/models/aJupyter/EmoLLM_Qwen1_5-0_5B-Chat_full_sft/summary). Friends with limited computational resources can now dive in and explore it.
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- 【2024.2.6】 [Open-sourced based on the Qwen1_5-0_5B-Chat full-scale fine-tuned version](https://www.modelscope.cn/models/aJupyter/EmoLLM_Qwen1_5-0_5B-Chat_full_sft/summary), friends with limited computing power can start experimenting~
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<p align="center">
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<img src="https://github.com/aJupyter/EmoLLM/assets/62385492/7e931682-c54d-4ded-bc67-79130c68d744" alt="模型下载量">
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</p>
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<details>
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<summary>View More</summary>
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- 【2024.2.5】 The project has been promoted by the official WeChat account NLP Engineering. Here's the [link](https://mp.weixin.qq.com/s/78lrRl2tlXEKUfElnkVx4A) to the article. Welcome everyone to follow!! 🥳🥳
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<p align="center">
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<img src="https://github.com/aJupyter/EmoLLM/assets/62385492/47868d6a-2e91-4aa9-a630-e594c14295b4" alt="公众号二维码">
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</p>
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- 【2024.2.3】 [Project Vedio](https://www.bilibili.com/video/BV1N7421N76X/) at bilibili 😊
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- 【2024.1.27】 Complete data construction documentation, fine-tuning guide, deployment guide, Readme, and other related documents 👏
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- 【2024.1.25】 Complete the first version of EmoLLM and deploy it online https://openxlab.org.cn/apps/detail/jujimeizuo/EmoLLM 😀
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</details>
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## Contents
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- [EmoLLM - Large Languge Model for Mental Health](#emollm---large-languge-model-for-mental-health)
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- [Everyone is welcome to contribute to this project ~](#everyone-is-welcome-to-contribute-to-this-project-)
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- [Recent Updates](#recent-updates)
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- [Contents](#contents)
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- [Pre-development Configuration Requirements.](#pre-development-configuration-requirements)
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- [**User Guide**](#user-guide)
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- [File Directory Explanation](#file-directory-explanation)
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- [Data Construction](#data-construction)
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- [Fine-tuning Guide](#fine-tuning-guide)
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- [Deployment Guide](#deployment-guide)
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- [Frameworks Used](#frameworks-used)
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- [How to participate in this project](#how-to-participate-in-this-project)
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- [Version control](#version-control)
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- [Authors (in no particular order)](#authors-in-no-particular-order)
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- [Copyright Notice](#copyright-notice)
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- [Acknowledgments](#acknowledgments)
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- [Star History](#star-history)
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- [🌟 Contributors](#-contributors)
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###### Pre-development Configuration Requirements.
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- A100 40G (specifically for InternLM2_7B_chat + qlora fine-tuning + deepspeed zero2 optimization)
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###### **User Guide**
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1. Clone the repo
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```sh
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git clone https://github.com/aJupyter/EmoLLM.git
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```
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1. Read in sequence or read sections you're interested in：
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- [File Directory Explanation](#file-directory-explanation)
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- [Data Construction](#data-construction)
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- [Fine-tuning Guide](#fine-tuning-guide)
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- [Deployment Guide](#deployment-guide)
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- View More Details
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<details>
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<summary>Additional Details</summary>
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### File Directory Explanation
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```
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├─assets：Image Resources
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├─datasets：Dataset
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├─demo：demo scripts
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├─generate_data：Data Generation Guide
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│ └─xinghuo
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├─scripts：Some Available Tools
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└─xtuner_config：Fine-tuning Guide
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└─images
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```
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### Data Construction
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Please read the [Data Construction Guide ](generate_data/tutorial.md)for reference.
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The dataset used for this fine-tuning can be found at [datasets](datasets/data.json)
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### Fine-tuning Guide
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For details, see the [fine-tuning guide](xtuner_config/README.md)
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### Deployment Guide
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For details, see the [deployment guide](demo/README.md)
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### Frameworks Used
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- [Xtuner](https://github.com/InternLM/xtuner)
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- [Transformers](https://github.com/huggingface/transformers)
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- [Pytorch](https://pytorch.org/)
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- …
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#### How to participate in this project
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Contributions make the open-source community an excellent place for learning, inspiration, and creation. Any contribution you make is greatly appreciated.
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1. Fork the Project
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2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
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3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
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4. Push to the Branch (`git push origin feature/AmazingFeature`)
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5. Open a Pull Request
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### Version control
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This project uses Git for version control. You can see the current available versions in the repository.
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</details>
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### Authors (in no particular order)
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[aJupyter](https://github.com/aJupyter)@Datawhale member, Master's student at Nankai University
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[jujimeizuo](https://github.com/jujimeizuo)@Master's student at Jiangnan University
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[Smiling&Weeping](https://github.com/Smiling-Weeping-zhr)@Undergraduate student at Harbin Institute of Technology (Weihai)
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[Farewell](https://github.com/8baby8)@
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[ZhouXinAo](https://github.com/zxazys)@Master's student at Nankai University
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[MING_X](https://github.com/MING-ZCH) @Undergraduate at Huazhong University of Science and Technology
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[Z_L](https://github.com/JasonLLLLLLLLLLL)@swufe
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### Copyright Notice
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The project is licensed under the MIT License. Please refer to the details
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[LICENSE](https://github.com/aJupyter/EmoLLM/blob/master/LICENSE)
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### Acknowledgments
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- [Sanbu](https://github.com/sanbuphy)
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- [Shanghai Artificial Intelligence Laboratory](https://www.shlab.org.cn/)
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- [Vanin](https://github.com/vansin)
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- [Bloom up (WeChat Official Account Promotion)](https://mp.weixin.qq.com/s/78lrRl2tlXEKUfElnkVx4A)
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<!-- links -->
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<!-- [linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=flat-square&logo=linkedin&colorB=555 -->
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<!-- [linkedin-url]: https://linkedin.com/in/aJupyter -->
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<!-- 太少了，没必要放 -->
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## Star History
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[](https://star-history.com/#aJupyter/EmoLLM&Date)
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## 🌟 Contributors
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[](https://github.com/aJupyter/EmoLLM/graphs/contributors)
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[your-project-path]: aJupyter/EmoLLM
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[contributors-shield]: https://img.shields.io/github/contributors/aJupyter/EmoLLM.svg?style=flat-square
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[contributors-url]: https://github.com/aJupyter/EmoLLM/graphs/contributors
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[forks-shield]: https://img.shields.io/github/forks/aJupyter/EmoLLM.svg?style=flat-square
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[forks-url]: https://github.com/aJupyter/EmoLLM/network/members
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[stars-shield]: https://img.shields.io/github/stars/aJupyter/EmoLLM.svg?style=flat-square
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[stars-url]: https://github.com/aJupyter/EmoLLM/stargazers
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[issues-shield]: https://img.shields.io/github/issues/aJupyter/EmoLLM.svg?style=flat-square
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[issues-url]: https://img.shields.io/github/issues/aJupyter/EmoLLM.svg
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[license-shield]: https://img.shields.io/github/license/aJupyter/EmoLLM.svg?style=flat-square
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[license-url]: https://github.com/aJupyter/EmoLLM/blob/main/LICENSE
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