I use Linux for local LLMs and everything is easier than Windows

I use Linux for local LLMs and everything is easier than Windows

I use Linux for local LLMs and everything is easier than Windows

https://www.makeuseof.com/i-use-linux-for-local-llms-everything-easier-than-windows/

Publish Date: 2026-03-10 13:31:00

Source Domain: www.makeuseof.com

For a long time, running large language models locally felt like something reserved for people with desktop GPUs the size of toaster ovens. If you were on a modest Linux laptop, the unspoken message was pretty clear: nice ambition, wrong hardware. That reality has shifted. Quietly, and a little faster than many people noticed.

With the right tools and a bit of restraint, you can now run a genuinely useful ChatGPT-style setup locally on Linux Mint without turning your laptop into a space heater. I know because I just did exactly that on a Ryzen 5 machine with 8 GB of RAM and integrated graphics. Not a powerhouse, or a lab rig. Just a very normal daily driver sporting Ollama and WebUI.

If your setup lives in the same neighborhood, here is what actually works, what tends to wobble, and how to get a smooth local AI experience without your swap file filing a formal complaint.

Start with realistic expectations

Your laptop can do this, but it is not magic

Screenshot: Roine Bertelson/MakeUseOf

Let’s set the tone early. An 8GB Linux Mint laptop can absolutely run local models. What it cannot do is brute-force its way through every shiny model you see on Reddit.

On hardware in this class, the comfort zone looks roughly like this:

  • 3B to 4B models run comfortably.

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