Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training

In three linesHybrid-LoRA combines full fine-tuning and LoRA for LLM post-training. The method applies full fine-tuning to ~10% of sensitive modules and LoRA to the rest, achieving 4.36% average improvement over PEFT baselines on complex reasoning tasks.

Summary generated by Claude — human-verified