SmartFlowAI/EmoLLM
心理健康大模型 (LLM x Mental Health), Pre & Post-training & Dataset & Evaluation & Depoly & RAG, with InternLM / Qwen / Baichuan / DeepSeek / Mixtral / LLama / GLM series models
- Stars
- 1.8k
- Forks
- 225
- Open issues
- 4
- Last push
- 4mo ago
About EmoLLM
EmoLLM is a free, open-source machine learning tool by SmartFlowAI, written mainly in Python. 心理健康大模型 (LLM x Mental Health), Pre & Post-training & Dataset & Evaluation & Depoly & RAG, with InternLM / Qwen / Baichuan / DeepSeek / Mixtral / LLama / GLM series models. It has 1.8k GitHub stars and 225 forks, and was last updated 4mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 1,793
- Last update
- 4mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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EmoLLM FAQ
Is EmoLLM free?
Yes. EmoLLM is open source and free to use. It's released under the MIT license, a standard open-source license.
Does EmoLLM run on a Mac?
Its README doesn't say. Check the installation guide on GitHub before you start.
Does EmoLLM need a GPU?
Its README doesn't state hardware needs. AI models generally run much faster with a GPU.
Is EmoLLM still maintained?
It was last updated 4mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to EmoLLM?
Similar free, open-source tools include pytorch-image-models, easy-dataset, CLUE, align-anything.