llmfit
About llmfit
llmfit is a terminal tool designed to help users find and run large language models (LLMs) that are compatible with their hardware. It detects system specifications such as RAM, CPU, and GPU, and evaluates models based on quality, speed, fit, and context dimensions. The tool provides recommendations on which models will perform well on the user's machine.
llmfit offers both an interactive terminal user interface (TUI) and a classic command-line interface (CLI). It supports multi-GPU setups, mixture of experts (MoE) architectures, dynamic quantization selection, and speed estimation. The tool integrates with local runtime providers like Ollama, llama.cpp, MLX, Docker Model Runner, and LM Studio.
The software includes features such as a community leaderboard for real-world performance data, a download manager for managing model downloads, and advanced configuration options for tuning efficiency and scoring weights. Users can also simulate different hardware configurations to test model compatibility.
Key features
- Detects hardware specifications and evaluates model compatibility
- Supports multi-GPU setups and MoE architectures
- Dynamic quantization selection and speed estimation
- Integrates with local runtime providers
- Community leaderboard for real-world performance data
- Download manager for managing model downloads
- Advanced configuration options for tuning efficiency
- Hardware simulation for testing model compatibility
Download v1.1.2
Jul 10, 2026WindowsWindows
macOSmacOS
LinuxLinux
Frequently asked questions
- Is llmfit free?
- Yes. llmfit is free and open-source software, distributed under the MIT license.
- Which platforms does llmfit support?
- llmfit provides downloads for Windows, macOS, Linux.
- What is the latest version of llmfit?
- The latest version is v1.1.2, released on Jul 10, 2026.
- What is llmfit?
- llmfit is a terminal tool that helps users find and run large language models (LLMs) compatible with their hardware by evaluating models based on quality, speed, fit, and context dimensions.
- How do I install llmfit?
- llmfit can be installed on Windows using Scoop, on macOS/Linux using Homebrew or MacPorts, or via a quick install script. It can also be installed as a Python package using pip or uv, or run using Docker/Podman.
- What platforms does llmfit support?
- llmfit supports Windows, macOS, and Linux. It can be installed via Scoop, Homebrew, MacPorts, pip, uv, Docker, or Podman.
- What license does llmfit use?
- llmfit is licensed under the MIT License.
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