Papers by Shiqiao Gu

1 papers
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit (2024.emnlp-industry)

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Challenge: Existing quantization techniques have been categorized as 'simple' and 'highly efficient' however, their configurations vary from each other and cannot be fairly compared .
Approach: They propose a plug-and-play compression toolkit to explore the impact of quantization.
Outcome: The proposed toolkit explores the impact of quantization on large language models.

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