Repository · GitHub

nunchux-ai/nunchaku

[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models

Owner	nunchux-ai
License (as declared)	Apache-2.0
Stars	3,960
Forks	282
Main language	Python
Created	6 November 2024
Last updated at source	6 September 2026

pythoncomfyuidiffusion-modelsfluxgenaiiclriclr2025loramlsysquantization

Embed this entry

<iframe src="https://silytics.si/embed/item/f27a24b1-dea8-4d76-9d1a-c264f5eaccf3" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from GitHub and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.