<ahref="https://github.com/aJupyter/EmoLLM"><strong>Explore the documentation of this project »</strong></a>
<br/>
<br/>
<ahref="https://github.com/aJupyter/EmoLLM/tree/main/demo">View the Demo</a>
·
<ahref="https://github.com/aJupyter/EmoLLM/issues">Report a Bug</a>
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<ahref="https://github.com/aJupyter/EmoLLM/issues">Propose a New Feature</a>
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</p>
<!-- 本篇README.md面向开发者 -->
**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~
- 【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!! 🥳🥳
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.
</details>
### 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
