yanun0323/Whallm
DeepSeek-V4-Flash-0731 284B inference in ~25 GB of RAM / Qwen3.8-Next-Flash inference in ~15 GB of RAM on any M-series MacBook
- Stars
- 151
- Forks
- 17
- Open issues
- 0
- Last push
- 2d ago
Whallm star history
+3 this week
About Whallm
Whallm is a free, open-source LLM chat app by yanun0323, written mainly in Python. DeepSeek-V4-Flash-0731 284B inference in ~25 GB of RAM / Qwen3.8-Next-Flash inference in ~15 GB of RAM on any M-series MacBook. It has 151 GitHub stars and 17 forks, and was last updated 2d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 151
- Last update
- 2d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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Whallm FAQ
Can I use Whallm commercially?
Yes. MIT 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 Whallm free?
Yes. Whallm is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Whallm run on a Mac?
Yes. According to the project, Whallm works on macOS.
Does Whallm need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Whallm still maintained?
Yes. It was last updated 2d ago and has 0 open issues on GitHub.
What are alternatives to Whallm?
Similar free, open-source tools include omlx, ollama, openclaw, Vane.
Maintain Whallm?
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