Have you ever wondered if there’s a better way to install and run llama.cpp locally? Almost every local large language model (LLM) application today relies on llama.cpp as the backend for running models. But here’s the catch: most setups are either too complex, require multiple tools, or don’t give you a powerful user interface (UI) out of the box.

Wouldn’t it be great if you could:

• Run a powerful model like GPT-OSS 20B with just a few commands
• Get a modern Web UI instantly, without extra hassle
• Have the fastest and most optimized setup for local inference

In this guide, we will walk through the best, most optimized, and fastest way to run the GPT-OSS 20B model locally using the llama-cpp-python package together with Open WebUI. By the end, you will have a fully working local LLM environment that’s easy to use, efficient, and production-ready.