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cs.LG2026
EdgeRazor: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation
Shu-Hao Zhang, Le-Tong Huang, Xiang-Sheng Deng +5
Quantization has emerged as a mainstream approach for deploying Large Language Models (LLMs) on resource-constrained devices, yet compressing precision below 4-bit typically causes…
cs.LG2021★ 1 cited
Theoretical Exploration of Flexible Transmitter Model
Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang +1
Neural network models generally involve two important components, i.e., network architecture and neuron model. Although there are abundant studies about network architectures, only…