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).

Related Keywords

,Weight Decomposed Low Rank Adaptation ,Large Language Model ,Lightning Studio ,Implement Low Rank Adaptation ,Simple Reparameterization ,Accelerate Training ,Deep Neural Networks ,Practical Tips ,Low Rank Adaptation ,Pytorch Lightning Studio ,