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Q-Sparse: All Large Language Models can be Fully Sparsely-Activated
v1v2v3 (latest)

Q-Sparse: All Large Language Models can be Fully Sparsely-Activated

15 July 2024
Hongyu Wang
Shuming Ma
Ruiping Wang
Furu Wei
    MoE
ArXiv (abs)PDFHTML

Papers citing "Q-Sparse: All Large Language Models can be Fully Sparsely-Activated"

4 / 4 papers shown
Title
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
Guang Yan
Yuhui Zhang
Zimu Guo
Lutan Zhao
Xiaojun Chen
Chen Wang
Wenhao Wang
Dan Meng
Rui Hou
74
0
0
12 May 2025
BitNet v2: Native 4-bit Activations with Hadamard Transformation for 1-bit LLMs
BitNet v2: Native 4-bit Activations with Hadamard Transformation for 1-bit LLMs
Hongyu Wang
Shuming Ma
Furu Wei
MQ
96
4
0
25 Apr 2025
Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations
Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations
Zican Dong
Han Peng
Peiyu Liu
Wayne Xin Zhao
Dong Wu
Feng Xiao
Ziyi Wang
MoE
80
2
0
09 Apr 2025
MoH: Multi-Head Attention as Mixture-of-Head Attention
MoH: Multi-Head Attention as Mixture-of-Head Attention
Peng Jin
Bo Zhu
Li Yuan
Shuicheng Yan
MoE
101
17
0
15 Oct 2024
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