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DoRA
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DoRA

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

by NVlabs · GitHub
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commonsense-reasoningdeep-learningdeep-neural-networksPython
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Fine-tune AI models efficiently by adjusting their weights with a specific method.

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2026-07-202026-08-31
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📄 About

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

DoRA has 990 stars on GitHub. It has been forked 70 times. DoRA is written mainly in Python. It has been in active development since 2024. Its main topics are commonsense-reasoning, deep-learning, deep-neural-networks, instruction-tuning.

Frequently asked questions

What is DoRA?

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

Is DoRA open source?

DoRA is an open-source project.

Is DoRA free?

Yes. DoRA is free and open source — you can use, modify and self-host it.

What language is DoRA written in?

DoRA is written mainly in Python.

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