Improving LoRA: Implementing Weight-Decomposed Low-Rank Adaptation (DoRA) from Scratch
Read OriginalThis article provides a detailed, hands-on tutorial on implementing Weight-Decomposed Low-Rank Adaptation (DoRA), a recently proposed enhancement to the popular LoRA technique for efficiently fine-tuning large models like LLMs. It explains the core concepts of LoRA, compares it to DoRA, and walks through a from-scratch PyTorch implementation to demonstrate the improved method's mechanics and potential performance gains.
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