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Improving LoRA: Implementing Weight-Decomposed Low-Rank Adaptation (DoRA) from Scratch

This article implements LoRA (low-rank adaptation), an parameter-efficient finetuning technique for LLMs from scratch and discussed the newest and most promising variant: DoRA (Weight-Decomposed Low-Rank Adaptation).
Weight Decomposed Low Rank Adaptation Large Language Model Lightning Studio Implement Low Rank Adaptation Simple Reparameterization Accelerate Training

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