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Learn To be Efficient: Build Structured Sparsity in Large Language
  Models

Learn To be Efficient: Build Structured Sparsity in Large Language Models

9 February 2024
Haizhong Zheng
Xiaoyan Bai
Xueshen Liu
Z. Morley Mao
Beidi Chen
Fan Lai
Atul Prakash
ArXivPDFHTML

Papers citing "Learn To be Efficient: Build Structured Sparsity in Large Language Models"

4 / 4 papers shown
Title
iServe: An Intent-based Serving System for LLMs
iServe: An Intent-based Serving System for LLMs
Dimitrios Liakopoulos
Tianrui Hu
Prasoon Sinha
N. Yadwadkar
VLM
98
0
0
08 Jan 2025
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
Yongxin Guo
Zhenglin Cheng
Xiaoying Tang
Tao R. Lin
Tao Lin
MoE
53
7
0
23 May 2024
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language
  Models
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
Iman Mirzadeh
Keivan Alizadeh-Vahid
Sachin Mehta
C. C. D. Mundo
Oncel Tuzel
Golnoosh Samei
Mohammad Rastegari
Mehrdad Farajtabar
118
59
0
06 Oct 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
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