Mitigating the Impact of Outlier Channels for Language Model
Quantization with Activation Regularization

Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization

4 April 2024

Aniruddha Nrusimha

Dan Alistarh

Papers citing "Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization"

8 / 8 papers shown

Title
Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs Lucas Maisonnave Cyril Moineau Olivier Bichler Fabrice Rastello MQ 37 0 0 18 Apr 2025
Fast Matrix Multiplications for Lookup Table-Quantized LLMs Han Guo William Brandon Radostin Cholakov Jonathan Ragan-Kelley Eric P. Xing Yoon Kim MQ 76 12 0 20 Jan 2025
Mixture Compressor for Mixture-of-Experts LLMs Gains More Wei Huang Yue Liao Jianhui Liu Ruifei He Haoru Tan Shiming Zhang Hongsheng Li Si Liu Xiaojuan Qi MoE 36 3 0 08 Oct 2024
Understanding and Minimising Outlier Features in Neural Network Training Bobby He Lorenzo Noci Daniele Paliotta Imanol Schlag Thomas Hofmann 29 3 0 29 May 2024
Extreme Compression of Large Language Models via Additive Quantization Vage Egiazarian Andrei Panferov Denis Kuznedelev Elias Frantar Artem Babenko Dan Alistarh MQ 98 87 0 11 Jan 2024
QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language Models Saleh Ashkboos Ilia Markov Elias Frantar Tingxuan Zhong Xincheng Wang Jie Ren Torsten Hoefler Dan Alistarh MQ SyDa 117 21 0 13 Oct 2023
Outliers Dimensions that Disrupt Transformers Are Driven by Frequency Giovanni Puccetti Anna Rogers Aleksandr Drozd F. Dell’Orletta 71 42 0 23 May 2022
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,791 0 17 Sep 2019