kanchengw/cnllm
Python toolkit for Chinese LLMs, with flexible batch capacity, structured real-time visulization and automated accumulation for streaming, and explicit feedback on vendor-native parameter validation.
- Stars
- 171
- Forks
- 15
- Open issues
- 0
- Last push
- 4mo ago
cnllm star history
-2 this week
About cnllm
cnllm is a free, open-source AI developer tool by kanchengw, written mainly in Python. Python toolkit for Chinese LLMs, with flexible batch capacity, structured real-time visulization and automated accumulation for streaming, and explicit feedback on vendor-native parameter validation. It has 171 GitHub stars and 15 forks, and was last updated 4mo ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it works on macOS.
- License
- Apache-2.0
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 171
- Last update
- 4mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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cnllm FAQ
Can I use cnllm commercially?
Yes. Apache-2.0 is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is cnllm free?
Yes. cnllm is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does cnllm run on a Mac?
Yes. According to the project, cnllm works on macOS.
Does cnllm need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is cnllm still maintained?
It was last updated 4mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to cnllm?
Similar free, open-source tools include langchain, litellm, openai-python, markitdown.
Maintain cnllm?
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