Artificial Intelligence #techniques#peak memory reduction
Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices
A new paper introduces four complementary techniques to reduce peak memory during LoRA fine-tuning of large language models on edge devices. Experiments on Llama-3.2 3B and Qwen-2.5 3B demonstrate up to 26x and 28x memory reduction, respectively, without sacrificing model quality.
Jun 20, 2026 1 source