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README.md

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 # VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
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+[![License](https://img.shields.io/badge/license-mit-blue)](https://github.com/microsoft/VPTQ/blob/main/LICENSE)
+[![PyPi](https://img.shields.io/pypi/v/vptq)](https://pypi.org/project/vptq/)
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+**Efficient, Flexible and Compressing LLM in less than 2bits**
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+[Get Started](#installation) | [Technical Report](https://arxiv.org/pdf/2409.17066)
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+</div>
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 - [TL;DR](#tl-dr)
 - [News](#news)
 - [Installation](#installation)