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Gavin Li
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[**Example notebooks**](#example-python-notebook) |
[**FAQ**](#faq)
**AirLLM** optimizes inference memory usage, allowing 70B large language models to run inference on a single 4GB GPU card without quantization, distillation and pruning. And you can run **405B Llama3.1** on **8GB vmem** now.
**AirLLM** optimizes inference memory usage, allowing 70B large language models to run inference on a single 4GB GPU card without quantization, distillation and pruning. And you can run **405B Llama3.1** on **8GB vram** now.
<a href="https://github.com/lyogavin/airllm/stargazers">![GitHub Repo stars](https://img.shields.io/github/stars/lyogavin/airllm?style=social)</a>
[![Downloads](https://static.pepy.tech/personalized-badge/airllm?period=total&units=international_system&left_color=grey&right_color=blue&left_text=downloads)](https://pepy.tech/project/airllm)