llmfit setup: check which AI models fit your hardware

llmfit helps you choose a local LLM before downloading its model files. This tutorial explains how the terminal tool detects your processor, memory and graphics hardware, then ranks models for your machine. Its fit ratings indicate whether a model has room to spare, fits tightly or exceeds available memory. Pressing Enter opens the reasoning behind a result.

The speed figures need care: the presenter describes them as estimates, and the supplied description says they come from a memory-bandwidth model. They are not measurements from your computer. The Mac example shows two models with a green rating but a reported twentyfold speed difference, so a fit rating alone does not establish performance.

The installation walkthrough covers macOS and Linux, with Homebrew and Windows Scoop options in the description. After checking llmfit --version, viewers launch llmfit, navigate with arrow keys and search with /. The description also provides llmfit --cli for a printed list, llmfit system for detected hardware and llmfit bench for a real speed test against installed models.

The project is open source. The presenter says it works offline and attributes the claim that it sends nothing unless requested to its developers.