I Wasted Hours Downloading AI Models That Never Ran. llmfit Fixed It

**Which AI models can your computer actually run? Find out in seconds — before you download anything.** Running an LLM on your own machine is free, private, and works offline. The catch is that models come in wildly different sizes, and you usually only find out yours won't run after a multi-hour download. llmfit is a free, open-source terminal tool that reads your RAM, CPU, and GPU, then ranks hundreds of models by how well they'll actually run on your hardware. https://github.com/AlexsJones/llmfit One command. Four possible verdicts: Perfect, Good, Marginal, or Too Tight. Honest caveat up front: the tokens-per-second figures are estimates from a memory-bandwidth model, not measurements from your machine. The tool says so itself, and it ships a real benchmark command if you want actual numbers. ⏱️ CHAPTERS Use LLM Fit to run AI locally on your own computer without wasting time on downloads that will not work. Avoid hardware errors today. Running a private AI chatbot on your own machine offers total privacy and works entirely offline. However, these models vary massively in size, and your hardware can only support specific options. Downloading a large file for hours only to find it fails to launch is a common frustration for anyone trying to set up a local LLM. This guide demonstrates how to use LLM Fit to check hardware compatibility instantly. By typing one simple line, you receive a ranked list of the best models your specific computer can actually run. This saves time by filtering out incompatible options before you commit to a download. It is a free, private, and efficient method to ensure your system handles the local LLM you choose. Subscribe for weekly AI tool breakdowns, and comment below if you want to see a tutorial on setting up specific models. 0:00 Run AI on your own computer 0:16 What llmfit does 0:36 How it judges fit 1:03 The honest caveats 1:20 A real run on a Mac 1:41 Install 2:00 Commands and controls 2:34 Final thoughts ⚙️ INSTALL macOS / Linux — one line: ``` curl -fsSL https://llmfit.axjns.dev/install.sh | sh ``` Only paste a line like this from a source you trust. This one comes from the project itself. Homebrew: ``` brew install AlexsJones/llmfit/llmfit ``` Windows (Scoop): ``` scoop install llmfit ``` uv: ``` uv tool install -U llmfit ``` ▶️ COMMANDS Check it installed: ``` llmfit --version ``` Run it: ``` llmfit ``` Full list in the terminal: ``` llmfit --cli ``` Real speed test against your installed models: ``` llmfit bench ``` What it found inside your computer: ``` llmfit system ``` ⌨️ KEYS INSIDE THE APP ↑ ↓ — move through the list / — search by model name Enter — see how it worked that answer out f — filter by fit p — plan mode: what hardware would this model need? q — quit 🔗 LINKS llmfit on GitHub: https://github.com/AlexsJones/llmfit Website: https://llmfit.org Model list: https://github.com/AlexsJones/llmfit/blob/main/MODELS.md Works alongside Ollama, llama.cpp, LM Studio, MLX, and Docker Model Runner. MIT licensed. Try it and tell me in the comments what your machine came back with. More videos like this coming — subscribe if that's useful to you. #LocalAI #LLM #Ollama #OpenSource #AITools #llamacpp #LMStudio #TerminalTools