2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Effective Quantization for Diffusion Models on CPUs
Hanwen Chang, Haihao Shen, Yiyang Cai +7
Diffusion models have gained popularity for generating images from textual descriptions. Nonetheless, the substantial need for computational resources continues to present a notewo…
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…