QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning

11 March 2024

Papers citing "QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning"

5 / 5 papers shown

Title
DAQ: Density-Aware Post-Training Weight-Only Quantization For LLMs Yingsong Luo Ling Chen MQ 16 0 0 16 Oct 2024
Towards Accurate Post-Training Quantization for Vision Transformer Yifu Ding Haotong Qin Qing-Yu Yan Z. Chai Junjie Liu Xiaolin K. Wei Xianglong Liu MQ 54 66 0 25 Mar 2023
ZeroQuant-V2: Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation Z. Yao Xiaoxia Wu Cheng-rong Li Stephen Youn Yuxiong He MQ 63 56 0 15 Mar 2023
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers Zhikai Li Mengjuan Chen Junrui Xiao Qingyi Gu ViT MQ 40 31 0 13 Sep 2022
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018