# NVlabs/DoRA

<https://repo.masters-masters.com/en/repos/NVlabs/DoRA>

[Home](https://repo.masters-masters.com/en) › [NVlabs](https://repo.masters-masters.com/en/owners/NVlabs) › [DoRA](https://repo.masters-masters.com/en/repos/NVlabs/DoRA)

NVlabs/DoRA has 1,006 stars on GitHub. Its RepoMasters card: Beta tier. \[ICML2024 (Oral)\] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank…

| Field | Value |
| --- | --- |
| Owner | [NVlabs](https://repo.masters-masters.com/en/owners/NVlabs) |
| Stars | 1,006 |
| Forks | 70 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | commonsense-reasoning, deep-learning, deep-neural-networks, instruction-tuning, large-language-models, large-vision-language-models, lora, parameter-efficient-fine-tuning, parameter-efficient-tuning, vision-and-language |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [NVlabs/DoRA](https://github.com/NVlabs/DoRA) |

## Repository

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

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.