nunchux-ai/nunchaku
[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
- Stars
- 4.0k
- Forks
- 285
- Open issues
- 5
- Last push
- 1mo ago
About nunchaku
nunchaku is a free, open-source machine learning tool by nunchux-ai, written mainly in Python. [ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models. It has 4.0k GitHub stars and 285 forks, and was last updated 1mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 3,960
- Last update
- 1mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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nunchaku FAQ
Is nunchaku free?
Yes. nunchaku is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does nunchaku run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does nunchaku need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is nunchaku still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to nunchaku?
Similar free, open-source tools include lora-scripts, SimpleTuner, pytorch-image-models, transformerlab-app.