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Eunhyeok Park

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Articles

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models

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By Taesu Kim, Hyungjun Kim, Jungyu Jin, Eunhyeok Park
| arXiv
[Submitted on 4 Jun 2023 ( v1 ), last revised 24 Jan 2024 (this version, v4)] Title:OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models Download a PDF of the paper titled OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models, by Changhun Lee and 4 other authors Download PDF HTML (experimental) Abstract:Large language models (LLMs) with hundreds of billions of parameters require powerful...
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[2306.02316] Temporal Dynamic Quantization for Diffusion Models

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By Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
| arXiv
arXiv:2306.02316 (cs) [Submitted on 4 Jun 2023 (v1), last revised 11 Dec 2023 (this version, v2)] Download PDF HTML (experimental) Subjects: Computer Vision and Pattern Recognition (cs.CV) Cite as: arXiv:2306.02316 [cs.CV] (or arXiv:2306.02316v2 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2306.02316 Submission history From: Eunhyeok Park [ view email] [v1] Sun, 4 Jun 2023 09:49:43 UTC (16,220 KB) [v2] Mon, 11 Dec 2023 17:38:36 UTC (9,073 KB) Bibliographic Tools Bibliographic...
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