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20232026
most citedInteger or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models

5 citations · 7 across the 9 of their papers we have counts for

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cs.CL2024★ 1 cited

BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation

Dayou Du, Yijia Zhang, Shijie Cao +4

The upscaling of Large Language Models (LLMs) has yielded impressive advances in natural language processing, yet it also poses significant deployment challenges. Weight quantizati…

cs.CL2023

AFPQ: Asymmetric Floating Point Quantization for LLMs

Yijia Zhang, Sicheng Zhang, Shijie Cao +4

Large language models (LLMs) show great performance in various tasks, but face deployment challenges from limited memory capacity and bandwidth. Low-bit weight quantization can sav…