Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs

23 May 2024

Papers citing "Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs"

6 / 6 papers shown

Title
Precision Where It Matters: A Novel Spike Aware Mixed-Precision Quantization Strategy for LLaMA-based Language Models Lucas Maisonnave Cyril Moineau Olivier Bichler Fabrice Rastello MQ 69 1 0 30 Apr 2025
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training Haocheng Xi Han Cai Ligeng Zhu Y. Lu Kurt Keutzer Jianfei Chen Song Han MQ 60 9 0 25 Oct 2024
Massive Activations in Large Language Models Mingjie Sun Xinlei Chen J. Zico Kolter Zhuang Liu 60 66 0 27 Feb 2024
The Falcon Series of Open Language Models Ebtesam Almazrouei Hamza Alobeidli Abdulaziz Alshamsi Alessandro Cappelli Ruxandra-Aimée Cojocaru ... Quentin Malartic Daniele Mazzotta Badreddine Noune B. Pannier Guilherme Penedo AI4TS ALM 113 396 0 28 Nov 2023
Outliers Dimensions that Disrupt Transformers Are Driven by Frequency Giovanni Puccetti Anna Rogers Aleksandr Drozd F. Dell’Orletta 71 42 0 23 May 2022
All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality William Timkey Marten van Schijndel 213 110 0 09 Sep 2021