FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization

1 June 2023

Papers citing "FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization"

8 / 8 papers shown

Title
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model Navin Ranjan Andreas E. Savakis MQ VLM 63 0 0 08 May 2025
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping Ning Ding Jing Han Yuchuan Tian Chao Xu Kai Han Yehui Tang MQ 42 0 0 10 Mar 2025
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices Jung Hyun Lee Jeonghoon Kim J. Yang S. Kwon Eunho Yang Kang Min Yoo Dongsoo Lee MQ 36 2 0 16 Jul 2024
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models Jung Hwan Heo Jeonghoon Kim Beomseok Kwon Byeongwook Kim Se Jung Kwon Dongsoo Lee MQ 38 9 0 27 Sep 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization Jeonghoon Kim J. H. Lee Sungdong Kim Joonsuk Park Kang Min Yoo S. Kwon Dongsoo Lee MQ 36 97 0 23 May 2023
Towards Efficient Post-training Quantization of Pre-trained Language Models Haoli Bai Lu Hou Lifeng Shang Xin Jiang Irwin King M. Lyu MQ 68 47 0 30 Sep 2021
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 6,943 0 20 Apr 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,190 0 01 Sep 2014