BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

6 February 2024

Xianglong Liu

Michele Magno

Papers citing "BiLLM: Pushing the Limit of Post-Training Quantization for LLMs"

9 / 9 papers shown

Title
An Empirical Study of Qwen3 Quantization Xingyu Zheng Yuye Li Haoran Chu Yue Feng Xudong Ma Jie Luo Jinyang Guo Haotong Qin Michele Magno Xianglong Liu MQ 19 0 0 04 May 2025
GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference Chao Zeng Songwei Liu Shu Yang Fangmin Chen Xing Mei Lean Fu MQ 33 0 0 23 Dec 2024
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking Marco Federici Davide Belli M. V. Baalen Amir Jalalirad Andrii Skliar Bence Major Markus Nagel Paul N. Whatmough 71 0 0 02 Dec 2024
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
OAC: Output-adaptive Calibration for Accurate Post-training Quantization Ali Edalati Alireza Ghaffari M. Asgharian Lu Hou Boxing Chen Vahid Partovi Nia V. Nia MQ 70 0 0 23 May 2024
An empirical study of LLaMA3 quantization: from LLMs to MLLMs Wei Huang Xingyu Zheng Xudong Ma Haotong Qin Chengtao Lv Hong Chen Jie Luo Xiaojuan Qi Xianglong Liu Michele Magno MQ 47 36 0 22 Apr 2024
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression Xin Wang Yu Zheng Zhongwei Wan Mi Zhang MQ 45 43 0 12 Mar 2024
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 115 321 0 24 Sep 2019