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+# EmoLLM - Large Languge Model for Mental Health
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+[![Contributors][contributors-shield]][contributors-url]
+[![Forks][forks-shield]][forks-url]
+[![Issues][issues-shield]][issues-url]
+[![MIT License][license-shield]][license-url]
+[![Stargazers][stars-shield]][stars-url]
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+
EmoLLM
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+ Explore the documentation of this project »
+
+
+ View the Demo
+ ·
+ Report a Bug
+ ·
+ Propose a New Feature
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+**EmoLLM** is a large language model 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:
+
+| model | type |
+| :-------------------: | :------: |
+| InternLM2_7B_chat | qlora |
+| InternLM2_1_8B_chat | full finetuning |
+| Qwen_7b_chat | qlora |
+| Qwen1_5-0_5B-Chat | full finetuning |
+| Baichuan2_13B_chat | qlora |
+| ChatGLM3_6B | lora |
+| DeepSeek MoE_16B_chat | qlora |
+| Mixtral 8x7B_instruct | qlora |
+| …… | …… |
+Everyone is welcome to contribute to this project ~
+---
+
+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:
+
+- 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.
+- 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.
+- 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.
+- 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.
+- Physical health: There is a close relationship between physical and mental health. Good physical health can promote mental health and vice versa.
+- 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.
+- 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.
+- Assessment and diagnostic tools: Effective promotion of mental health requires scientific tools to assess individuals' psychological states and diagnose potential psychological issues.
+### Recent Updates
+- 【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)
+
+- 【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.
+
+- 【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.
+
+- 【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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+ 
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+View More
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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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+ 
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+- 【2024.2.3】 [Project Vedio](https://www.bilibili.com/video/BV1N7421N76X/) at bilibili 😊
+- 【2024.1.27】 Complete data construction documentation, fine-tuning guide, deployment guide, Readme, and other related documents 👏
+- 【2024.1.25】 Complete the first version of EmoLLM and deploy it online https://openxlab.org.cn/apps/detail/jujimeizuo/EmoLLM 😀
+
+
+
+## Contents
+
+- [EmoLLM - Large Languge Model for Mental Health](#emollm---large-languge-model-for-mental-health)
+ - [Everyone is welcome to contribute to this project ~](#everyone-is-welcome-to-contribute-to-this-project-)
+ - [Recent Updates](#recent-updates)
+ - [Contents](#contents)
+ - [Pre-development Configuration Requirements.](#pre-development-configuration-requirements)
+ - [**User Guide**](#user-guide)
+ - [File Directory Explanation](#file-directory-explanation)
+ - [Data Construction](#data-construction)
+ - [Fine-tuning Guide](#fine-tuning-guide)
+ - [Deployment Guide](#deployment-guide)
+ - [Frameworks Used](#frameworks-used)
+ - [How to participate in this project](#how-to-participate-in-this-project)
+ - [Version control](#version-control)
+ - [Authors (in no particular order)](#authors-in-no-particular-order)
+ - [Copyright Notice](#copyright-notice)
+ - [Acknowledgments](#acknowledgments)
+ - [Star History](#star-history)
+ - [🌟 Contributors](#-contributors)
+
+###### Pre-development Configuration Requirements.
+
+- A100 40G (specifically for InternLM2_7B_chat + qlora fine-tuning + deepspeed zero2 optimization)
+
+###### **User Guide**
+
+1. Clone the repo
+
+```sh
+git clone https://github.com/aJupyter/EmoLLM.git
+```
+
+1. Read in sequence or read sections you're interested in：
+ - [File Directory Explanation](#文件目录说明)
+ - [Data Construction](#数据构建)
+ - [Fine-tuning Guide](#微调指南)
+ - [Deployment Guide](#部署指南)
+ - View More Details
+
+
+Additional Details
+
+### File Directory Explanation
+
+```
+├─assets：Image Resources
+├─datasets：Dataset
+├─demo：demo scripts
+├─generate_data：Data Generation Guide
+│ └─xinghuo
+├─scripts：Some Available Tools
+└─xtuner_config：Fine-tuning Guide
+ └─images
+```
+
+### Data Construction
+
+Please read the [Data Construction Guide ](generate_data/tutorial.md)for reference.
+
+The dataset used for this fine-tuning can be found at[datasets](datasets/data.json)
+
+### Fine-tuning Guide
+
+For details, see the[微调指南](xtuner_config/README.md)
+
+### Deployment Guide
+
+For details, see the[部署指南](demo/README.md)
+
+### Frameworks Used
+
+- [Xtuner](https://github.com/InternLM/xtuner)
+- [Transformers](https://github.com/huggingface/transformers)
+- [Pytorch](https://pytorch.org/)
+- …
+
+#### How to participate in this project
+
+Contributions make the open-source community an excellent place for learning, inspiration, and creation. Any contribution you make is greatly appreciated.
+
+1. Fork the Project
+2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
+3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
+4. Push to the Branch (`git push origin feature/AmazingFeature`)
+5. Open a Pull Request
+
+### Version control
+
+This project uses Git for version control. You can see the current available versions in the repository.
+
+
+
+### Authors (in no particular order)
+
+[aJupyter](https://github.com/aJupyter)@Datawhale member, Master's student at Nankai University
+
+[jujimeizuo](https://github.com/jujimeizuo)@Master's student at Jiangnan University
+
+[Smiling&Weeping](https://github.com/Smiling-Weeping-zhr)@Undergraduate student at Harbin Institute of Technology (Weihai)
+
+[Farewell](https://github.com/8baby8)@
+
+[ZhouXinAo](https://github.com/zxazys)@Master's student at Nankai University
+
+[MING_X](https://github.com/MING-ZCH) @Undergraduate at Huazhong University of Science and Technology.
+
+### Copyright Notice
+
+The project is licensed under the MIT License. Please refer to the details
+ [LICENSE](https://github.com/aJupyter/EmoLLM/blob/master/LICENSE)
+
+### Acknowledgments
+
+- [Sanbu](https://github.com/sanbuphy)
+- [上海人工智能实验室](https://www.shlab.org.cn/)
+- [闻星大佬（小助手）](https://github.com/vansin)
+- [扫地升（公众号宣传）](https://mp.weixin.qq.com/s/78lrRl2tlXEKUfElnkVx4A)
+
+
+
+
+
+
+
+
+
+## Star History
+
+[](https://star-history.com/#aJupyter/EmoLLM&Date)
+
+## 🌟 Contributors
+
+[](https://github.com/aJupyter/EmoLLM/graphs/contributors)
+
+[your-project-path]: aJupyter/EmoLLM
+[contributors-shield]: https://img.shields.io/github/contributors/aJupyter/EmoLLM.svg?style=flat-square
+[contributors-url]: https://github.com/aJupyter/EmoLLM/graphs/contributors
+[forks-shield]: https://img.shields.io/github/forks/aJupyter/EmoLLM.svg?style=flat-square
+[forks-url]: https://github.com/aJupyter/EmoLLM/network/members
+[stars-shield]: https://img.shields.io/github/stars/aJupyter/EmoLLM.svg?style=flat-square
+[stars-url]: https://github.com/aJupyter/EmoLLM/stargazers
+[issues-shield]: https://img.shields.io/github/issues/aJupyter/EmoLLM.svg?style=flat-square
+[issues-url]: https://img.shields.io/github/issues/aJupyter/EmoLLM.svg
+[license-shield]: https://img.shields.io/github/license/aJupyter/EmoLLM.svg?style=flat-square
+[license-url]: https://github.com/aJupyter/EmoLLM/blob/main/LICENSE