Normalized LoRA Stabilizes Training Without Extra Cost
Jiale Kang · hf · 2026-09-01
Normalized Low-Rank Adaptation stabilizes LoRA training by normalizing down-projection matrices. This method accelerates convergence and improves performance without introducing extra parameters or increasing inference costs.
Related event: NoRA: Normalized LoRA Improves Convergence and Stability(2 posts)→
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