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FlexQuant: Elastic Quantization Framework for Locally Hosted LLM on Edge Devices

Chai, Yuji et al.
arXiv (All) · Papers
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performance
Deploying LLMs on edge devices presents serious technical challenges. Memory elasticity is crucial for edge devices with unified memory, where memory is shared and fluctuates dynamically. Existing solutions suffer from either poor transition granularity or high storage costs. We propose FlexQuant, a
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