AIBullisharXiv – CS AI · 6h ago6/10
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Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices
Researchers introduce memory optimization techniques for fine-tuning Large Language Models using LoRA on resource-constrained devices, achieving up to 28× peak memory reduction through quantization, efficient checkpointing, and token approximation methods. The work enables private model personalization on consumer hardware without compromising model quality.
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