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Parameter-Efficient Fine-Tuning: LoRA, QLoRA, and DoRA
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Abstract
A technical note comparing parameter-efficient fine-tuning techniques for large language models, including Low-Rank Adaptation (LoRA), its quantized variant QLoRA, and Weight-Decomposed Low-Rank Adaptation (DoRA).
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Publication details
- DOI
- 10.5281/zenodo.21610033
- OpenAlex
- W7171290821
- Document type
- article
- Language
- EN
- Source
- Zenodo (CERN European Organization for Nuclear Research)
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