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EmoLLM
Python

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

by SmartFlowAI · GitHub
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datasetdepolyevaluationMITPythonSelf-hostable
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In plain words

Use AI models to support mental health conversations and guidance for users.

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1.78k1.76k
2026-07-202026-08-31
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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

EmoLLM has 1.8k stars on GitHub. It has been forked 224 times. EmoLLM is written mainly in Python. It has been in active development since 2024. EmoLLM is available under the MIT license. Its main topics are dataset, depoly, evaluation, llm.

Frequently asked questions

What is 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

Is EmoLLM open source?

EmoLLM is an open-source project. It is released under the MIT license.

Is EmoLLM free?

Yes. EmoLLM is free and open source — you can use, modify and self-host it.

What license does EmoLLM use?

EmoLLM is available under the MIT license.

What language is EmoLLM written in?

EmoLLM is written mainly in Python.

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