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Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge

Publication: Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. Published Mar 24, 2024.

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ojs.aaai.orgPublished Mar 24, 2024
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Overview

Publication: Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. Published Mar 24, 2024.

Publication information

Publication title
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Authors
Xuan Shen, Peiyan Dong, Lei Lu, Zhenglun Kong, Zhengang Li, Ming Lin, Chao Wu, Yanzhi Wang
Published
Mar 24, 2024
Venue / journal
Proceedings of the AAAI Conference on Artificial Intelligence
DOI
10.1609/aaai.v38i17.29860 ↗
Publication source
ojs.aaai.org · index.php/AAAI/article/view/29860 ↗
PDF
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Source: Publisher citation HTML metadata · observed Oct 11, 2026.

Publisher page information

Source page title
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge | Proceedings of the AAAI Conference on Artificial Intelligence
Declared page language
en-US
Observed source URL
https://ojs.aaai.org/index.php/AAAI/article/view/29860 ↗
Publisher canonical URL
https://ojs.aaai.org/index.php/AAAI/article/view/29860 ↗
Source metadata observed
Oct 11, 2026

Recorded from the source page’s published HTML metadata. Publisher page language can differ from this directory’s English interface.

Source links & provenance

https://ojs.aaai.org/index.php/AAAI/article/view/29860 ↗

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