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Awesome-Model-Quantization
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Awesome-Model-Quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

by AI-Efficiency · GitHub
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awesomebinarized-neural-networksbinary-network
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Explore a collection of research papers and resources focused on improving model efficiency through quantization.

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2026-07-102026-08-31
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📄 About

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

Awesome-Model-Quantization has 2.4k stars on GitHub. It has been forked 240 times. It has been in active development since 2018. Its main topics are awesome, binarized-neural-networks, binary-network, deep-learning.

Frequently asked questions

What is Awesome-Model-Quantization?

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

Is Awesome-Model-Quantization open source?

Awesome-Model-Quantization is an open-source project.

Is Awesome-Model-Quantization free?

Yes. Awesome-Model-Quantization is free and open source — you can use, modify and self-host it.

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