Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Large Language Models (LLMs) stand out for their impressive performance in intricate language modeling tasks. However, their demanding computational and memory needs pose obstacles for broad use on edge devices. Quantization is then introduced to boost LLMs' on-device efficiency. Recent works show that 8-bit or lower weight quantization is feasible …