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Parameter-Efficient Fine-Tuning: LoRA, QLoRA, and DoRA

  • Zenodo (CERN European Organization for Nuclear Research)
  • European Organization for Nuclear Research
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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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DOI
10.5281/zenodo.21610033
OpenAlex
W7171290821
Document type
article
Language
EN
Source
Zenodo (CERN European Organization for Nuclear Research)
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