RoSA: Rotational Sparse Adaptation for Memory-Efficient Fine-Tuning
cs.LG
Submitted: 2026-10-05
Updated: 2026-10-05
Terminology
Sources
- FreezeOut: Accelerate Training by Progressively Freezing Layers
- RevFFN: Memory-Efficient Full-Parameter Fine-Tuning of Mixture-of-Experts LLMs with Reversible Blocks
- The Curse of Depth in Large Language Models
- Llama 2: Open Foundation and Fine-Tuned Chat Models
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