llmfit Adds 1,066 Stars This Week Answering One Question — Which of Hundreds of Local Models Actually Fits Your RAM, CPU and GPU

GitHub·medium signal

AlexsJones/llmfit (30,610 stars, +1,066 this week, MIT, Rust) detects your hardware then ranks hundreds of models and providers on quality, speed, fit, and context to say what will actually run on your machine. It integrates with Ollama, llama.cpp, MLX, Docker Model Runner, and LM Studio, and handles multi-GPU setups, Mixture-of-Experts architectures, dynamic quantization, and speed estimation, offering both an interactive TUI and a JSON output mode for scripting. Community benchmark contributions feed the rankings — the JSON mode is the useful part for anyone automating local-model selection in a pipeline rather than picking by hand.