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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
Deep neural networks
Practical tips
Low rank adaptation
Pytorch lightning studio
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