[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
nunchaku is an open-source project. It is released under the Apache-2.0 license.
Yes. nunchaku is free and open source — you can use, modify and self-host it.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://opensourceai.tech/project/nunchaku-ai-nunchaku.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.