Why it matters
DoRA improves LoRA. Understanding shapes fine-tuning.
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The architecture
W = ||W|| * (W / ||W||).
LoRA on direction.
Learn magnitude separately.
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How it works end to end
Directional LoRA + magnitude vector.
Small param increase over LoRA.
Better quality: closes gap to full fine-tune.