LoRAShear: Efficient Large Language Model Structured Pruning and
Knowledge Recovery

LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

24 October 2023

Tianyi Chen

Papers citing "LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery"

6 / 6 papers shown

Title
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models Xingrun Xing Zheng Liu Shitao Xiao Boyan Gao Yiming Liang Wanpeng Zhang Haokun Lin Guoqi Li Jiajun Zhang LRM 56 1 0 10 Feb 2025
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning Tianyi Chen Xiaoyi Qu David Aponte Colby R. Banbury Jongwoo Ko Tianyu Ding Yong Ma Vladimir Lyapunov Ilya Zharkov Luming Liang 73 1 0 11 Sep 2024
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers Shuzhou Yuan Ercong Nie Bolei Ma Michael Farber 32 3 0 18 Feb 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 251 2,232 0 22 Mar 2023
OTOV2: Automatic, Generic, User-Friendly Tianyi Chen Luming Liang Tian Ding Zhihui Zhu Ilya Zharkov VLM MQ 40 30 0 13 Mar 2023
Sparsity-guided Network Design for Frame Interpolation Tian Ding Luming Liang Zhihui Zhu Tianyi Chen Ilya Zharkov 36 6 0 09 Sep 2022