NutePrune: Efficient Progressive Pruning with Numerous Teachers for
Large Language Models

NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models

15 February 2024

Jing Bai

Papers citing "NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models"

6 / 6 papers shown

Title
Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing Process Yuanze Li Shihao Yuan Haolin Wang Qizhang Li Ming-Yu Liu Chen Xu Guangming Shi Wangmeng Zuo 51 0 0 17 Mar 2025
Dynamic Low-Rank Sparse Adaptation for Large Language Models Weizhong Huang Yuxin Zhang Xiawu Zheng Y. Liu Jing Lin Yiwu Yao Rongrong Ji 85 0 0 21 Feb 2025
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
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models Peijie Dong Lujun Li Zhenheng Tang Xiang Liu Xinglin Pan Qiang-qiang Wang Xiaowen Chu 48 22 0 05 Jun 2024
A Misleading Gallery of Fluid Motion by Generative Artificial Intelligence Ali Kashefi VGen 40 5 0 24 May 2024
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 131 679 0 31 Jan 2021