NVlabs / DoRA

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

Date Created 2024-04-11 (2 months ago)

Commits 39 (last one 9 days ago)

Stargazers 340 (28 this week)

Watchers 10 (-1 this week)

Forks 18

License other

Ranking

RepositoryStats indexes 533,807 repositories, of these NVlabs/DoRA is ranked #114,076 (79th percentile) for total stargazers, and #199,676 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #18,888/103,260.

NVlabs/DoRA is also tagged with popular topics, for these it's ranked: deep-learning (#2,485/7824), large-language-models (#278/838), deep-neural-networks (#204/602), lora (#67/235)

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 2 open issues and 7 closed issues.

Homepage URL: https://arxiv.org/abs/2402.09353

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

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updated: 2024-06-27 @ 02:38am, id: 785300720 / R_kgDOLs688A