"Prefixing Attention Sinks can Mitigate Activation Outliers for Large ..."

Seungwoo Son et al. (2024)

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DOI: 10.48550/ARXIV.2406.12016

access: open

type: Informal or Other Publication

metadata version: 2024-07-19

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  dblp key:
  - journals/corr/abs-2406-12016
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  - https://dblp.org/rec/journals/corr/abs-2406-12016
Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee:
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization. CoRR abs/2406.12016 (2024)

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