mit-han-lab / nunchaku

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models

Date Created 2024-11-06 (15 days ago)

Commits 35 (last one 5 days ago)

Stargazers 331 (39 this week)

Watchers 9 (0 this week)

Forks 16

License apache-2.0

Ranking

RepositoryStats indexes 584,353 repositories, of these mit-han-lab/nunchaku is ranked #125,141 (79th percentile) for total stargazers, and #244,799 for total watchers. Github reports the primary language for this repository as Cuda, for repositories using this language it is ranked #71/341.

mit-han-lab/nunchaku is also tagged with popular topics, for these it's ranked: lora (#77/273)

Other Information

mit-han-lab/nunchaku has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 13 open issues and 15 closed issues.

Homepage URL: https://hanlab.mit.edu/projects/svdquant

All Topics

flux lora genai mlsys quantization diffusion-models

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Recent Commit History

35 commits on the default branch (main) since jan '22

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Languages

The primary language is Cuda but there's also others...

updated: 2024-11-21 @ 05:28am, id: 884123664 / R_kgDONLKoEA