LLMFit is an open-source command-line utility for determining which language models are practical to run on a particular computer. It evaluates local hardware resources and helps users compare model requirements so they can choose models that fit available memory and compute instead of relying on trial and error.

The tool is intended to simplify one of the common problems in local AI: translating model size, quantization, context requirements, and hardware capacity into a realistic deployment choice. It provides a fast local workflow and is distributed as prebuilt binaries for common operating systems, with additional installation options for developers.

LLMFit is useful for people running open-weight models on desktops, laptops, workstations, and local servers. It acts as a planning utility before downloading or deploying a model, helping users narrow a large model catalog to options that are more likely to run effectively on their actual CPU, GPU, and memory configuration.