---
title: "Discussion on \"Step-by-step guide to running Gemma-4 26B locally on budget GPUs\" | Hashnode"
description: "Discussion on \"Step-by-step guide to running Gemma-4 26B locally on budget GPUs\". How to run a 26-billion parameter AI model on a standard developer laptop with an 8GB GPU, using llama.cpp."
url: "https://hashnode.com/posts/step-by-step-guide-to-running-gemma-4-26b-locally-on-budget-gpus/6a26faa236de4d4818e4dacb"
---

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# [Step-by-step guide to running Gemma-4 26B locally on budget GPUs](https://code-friendly.hashnode.dev/step-by-step-guide-to-running-gemma-4-26b-locally-on-budget-gpus?utm_source=hashnode&utm_medium=feed)

How to run a 26-billion parameter AI model on a standard developer laptop with an 8GB GPU, using llama.cpp.

Jun 8 · 12 min read · code-friendly.hashnode.dev  
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-   [#ai](https://hashnode.com/tag/ai)
-   [#llama](https://hashnode.com/tag/llama)
-   [#llm](https://hashnode.com/tag/llm)
-   [#local-ai](https://hashnode.com/tag/local-ai)

## Written by

[Yaroslav Pristupa](https://hashnode.com/@yarodev)

@yarodev · Munich, Germany

  
[View profile](https://hashnode.com/@yarodev)

Software engineer & founder of 53 Software. Creator of VRAM Shield. I build low-level Windows utilities to solve hardware bottlenecks.

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