Technical note compares LoRA, QLoRA, and DoRA techniques for fine-tuning language models, suggesting performance improvements.
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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Dheiver Francisco Santos (2026) studied this question.
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