FoldGPT: Simple and Effective Large Language Model Compression Scheme

1 July 2024

Papers citing "FoldGPT: Simple and Effective Large Language Model Compression Scheme"

7 / 7 papers shown

Title
IteRABRe: Iterative Recovery-Aided Block Reduction Haryo Akbarianto Wibowo Haiyue Song Hideki Tanaka Masao Utiyama Alham Fikri Aji Raj Dabre 57 0 0 08 Mar 2025
Reassessing Layer Pruning in LLMs: New Insights and Methods Yao Lu Hao Cheng Yujie Fang Zeyu Wang Jiaheng Wei Dongwei Xu Qi Xuan Xiaoniu Yang Zhaowei Zhu 61 0 0 23 Nov 2024
FuseGPT: Learnable Layers Fusion of Generative Pre-trained Transformers Zehua Pei Hui-Ling Zhen Xianzhi Yu Sinno Jialin Pan M. Yuan Bei Yu AI4CE 81 0 0 21 Nov 2024
SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation Aurick Qiao Z. Yao Samyam Rajbhandari Yuxiong He VLM 21 0 0 04 Oct 2024
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving Yujun Lin Haotian Tang Shang Yang Zhekai Zhang Guangxuan Xiao Chuang Gan Song Han 77 71 0 07 May 2024
SliceGPT: Compress Large Language Models by Deleting Rows and Columns Saleh Ashkboos Maximilian L. Croci Marcelo Gennari do Nascimento Torsten Hoefler James Hensman VLM 122 143 0 26 Jan 2024
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020