MyPrivateClaw

How to Run an LLM Locally: The Complete 2026 Guide

Everything you need to know to run a large language model on your own hardware — privately, without API costs.

Guide overview

Running an LLM locally means your prompts never leave your machine, you pay no per token fees, and you can run models that are unavailable through any API. This guide covers every layer: hardware selection, runtime choice, model selection, and connecting your tools.