most citedEffective Quantization for Diffusion Models on CPUs

2 citations · 4 across the 3 of their papers we have counts for

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cs.CL2023★ 1 cited

TEQ: Trainable Equivalent Transformation for Quantization of LLMs

Wenhua Cheng, Yiyang Cai, Kaokao Lv +1

As large language models (LLMs) become more prevalent, there is a growing need for new and improved quantization methods that can meet the computationalast layer demands of these m…

cs.CL2023★ 1 cited

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

Wenhua Cheng, Weiwei Zhang, Haihao Shen +4

Large Language Models (LLMs) have demonstrated exceptional proficiency in language-related tasks, but their deployment poses significant challenges due to substantial memory and st…