---
title: "Discussion on \"Understanding AirLLM: How to Run a 70B Model on a 4GB GPU \" | Hashnode"
description: "Discussion on \"Understanding AirLLM: How to Run a 70B Model on a 4GB GPU \". I went down a rabbit hole trying to understand AirLLM — a library that claims to run 70B+ parameter models on GPUs with as little as 4-6GB of VRAM. What started as \"what is this tool\" turned into a mu"
url: "https://hashnode.com/posts/understanding-airllm-how-to-run-a-70b-model-on-a-4gb-gpu/6a8d3dd9de2fb5aea8926333"
---

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# [Understanding AirLLM: How to Run a 70B Model on a 4GB GPU](https://mujtaba08.hashnode.dev/understanding-airllm-how-to-run-a-70b-model-on-a-4gb-gpu?utm_source=hashnode&utm_medium=feed)

I went down a rabbit hole trying to understand AirLLM — a library that claims to run 70B+ parameter models on GPUs with as little as 4-6GB of VRAM. What started as "what is this tool" turned into a mu

Aug 25 · 16 min read · mujtaba08.hashnode.dev  
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## Written by

[Shaik Mujtaba Hussain](https://hashnode.com/@muj-h)

@muj-h · Hyderabad, India

  
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curious mind dump.

Building intelligent systems. Sharing what I learn. Turning ideas into AI-powered products.

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