NVlabs / DoRA

[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation

Date Created 2024-04-11 (7 months ago)

Commits 45 (last one about a month ago)

Stargazers 633 (4 this week)

Watchers 9 (0 this week)

Forks 42

License other

Ranking

RepositoryStats indexes 584,353 repositories, of these NVlabs/DoRA is ranked #75,797 (87th percentile) for total stargazers, and #224,040 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #12,124/116,326.

NVlabs/DoRA is also tagged with popular topics, for these it's ranked: deep-learning (#1,767/8389), large-language-models (#219/1045), deep-neural-networks (#138/626), lora (#53/273)

Other Information

NVlabs/DoRA 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 9 open issues and 8 closed issues.

Homepage URL: https://nbasyl.github.io/DoRA-project-page/

All Topics

lora deep-learning instruction-tuning vision-and-language deep-neural-networks commonsense-reasoning large-language-models parameter-efficient-tuning large-vision-language-models parameter-efficient-fine-tuning

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

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updated: 2024-11-20 @ 05:42pm, id: 785300720 / R_kgDOLs688A