llmfit is a terminal-based utility that helps developers determine which large language models can realistically run on their local hardware by analyzing system resources and model requirements. The tool automatically detects CPU, RAM, GPU, and VRAM specifications, then ranks available models based on performance factors such as speed, quality, and memory fit. It provides both an interactive terminal user interface and a traditional CLI mode, enabling flexible workflows for different user preferences. llmfit also supports advanced configurations including multi-GPU setups, mixture-of-experts architectures, and dynamic quantization recommendations. By presenting clear performance estimates and compatibility guidance, the project reduces the trial-and-error typically involved in local LLM experimentation. Overall, llmfit serves as a practical decision assistant for developers who want to run language models efficiently on their own machines.

Features

  • Automatic hardware detection
  • Model ranking by performance metrics
  • Interactive terminal UI and CLI modes
  • Multi-GPU support
  • Dynamic quantization recommendations
  • Speed and memory fit estimation

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow llmfit

llmfit Web Site

Other Useful Business Software
8 Monitoring Tools in One APM. Install in 5 Minutes. Icon
8 Monitoring Tools in One APM. Install in 5 Minutes.

Errors, performance, logs, uptime, hosts, anomalies, dashboards, and check-ins. One interface.

AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of llmfit!

Additional Project Details

Programming Language

Rust

Related Categories

Rust Large Language Models (LLM), Rust OpenClaw Tools

Registered

2026-02-20