NVlabs/DoRA
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
- Stars
- 1.0k
- Forks
- 70
- Open issues
- 20
- Last push
- 7mo ago
About DoRA
DoRA is a free, open-source machine learning tool by NVlabs, written mainly in Python. [ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation. It has 1.0k GitHub stars and 70 forks, and was last updated 7mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 1,002
- Last update
- 7mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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DoRA FAQ
Is DoRA free?
Yes. DoRA is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does DoRA run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does DoRA need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is DoRA still maintained?
It was last updated 7mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to DoRA?
Similar free, open-source tools include peft, ludwig, pytorch-image-models, MetaClaw.