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

Low-rank adaptation (LoRA) is a machine learning technique that modifies a pretrained model (for example, an LLM or vision transformer) to better suit a specific, often smaller, dataset by adjusting o