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FPQVAR: Floating Point Quantization for Visual Autoregressive Model with FPGA Hardware Co-design

FPQVAR: Floating Point Quantization for Visual Autoregressive Model with FPGA Hardware Co-design

22 May 2025
Renjie Wei
Songqiang Xu
Qingyu Guo
Meng Li
    MQ
ArXivPDFHTML

Papers citing "FPQVAR: Floating Point Quantization for Visual Autoregressive Model with FPGA Hardware Co-design"

12 / 12 papers shown
Title
LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design
LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design
Renjie Wei
Songqiang Xu
Linfeng Zhong
Zebin Yang
Qingyu Guo
Yidan Wang
Runsheng Wang
Meng Li
104
1
0
24 Feb 2025
SpinQuant: LLM quantization with learned rotations
SpinQuant: LLM quantization with learned rotations
Zechun Liu
Changsheng Zhao
Igor Fedorov
Bilge Soran
Dhruv Choudhary
Raghuraman Krishnamoorthi
Vikas Chandra
Yuandong Tian
Tijmen Blankevoort
MQ
167
105
0
21 Feb 2025
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
Xiaokang Chen
Zhiyu Wu
Xingchao Liu
Zizheng Pan
Wen Liu
Zhenda Xie
X. Yu
Chong Ruan
AI4TS
68
126
0
29 Jan 2025
Optimizing Large Language Model Training Using FP4 Quantization
Optimizing Large Language Model Training Using FP4 Quantization
Ruizhe Wang
Yeyun Gong
Xiao Liu
Guoshuai Zhao
Ziyue Yang
Baining Guo
Zhengjun Zha
Peng Cheng
MQ
116
9
0
28 Jan 2025
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
Lei Chen
Yuan Meng
Chen Tang
Xinzhu Ma
Jingyan Jiang
Xin Wang
Zhi Wang
Wenwu Zhu
MQ
69
27
0
25 Jun 2024
FlightLLM: Efficient Large Language Model Inference with a Complete
  Mapping Flow on FPGAs
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Shulin Zeng
Jun Liu
Guohao Dai
Xinhao Yang
Tianyu Fu
...
Zehao Wang
Ruoyu Zhang
Kairui Wen
Xuefei Ning
Yu Wang
85
63
0
08 Jan 2024
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language
  Models
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
Xiuying Wei
Yunchen Zhang
Xiangguo Zhang
Ruihao Gong
Shanghang Zhang
Qi Zhang
F. Yu
Xianglong Liu
MQ
63
150
0
27 Sep 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
86
3,830
0
26 Jul 2022
Autoregressive Image Generation using Residual Quantization
Autoregressive Image Generation using Residual Quantization
Doyup Lee
Chiheon Kim
Saehoon Kim
Minsu Cho
Wook-Shin Han
VGen
211
343
0
03 Mar 2022
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
299
17,550
0
19 Jun 2020
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
161
4,928
0
02 Nov 2017
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
374
8,999
0
10 Jun 2016
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