llmfit

LLMFit is an open-source command-line tool designed to benchmark and evaluate large language models (LLMs) across a variety of tasks and metrics. It provides developers and researchers with a straightforward way to compare model performance, measure response quality, and assess fitness for specific use cases. Built with simplicity in mind, LLMFit enables reproducible evaluations and supports multiple model backends. It is hosted on GitHub and distributed as open-source software under a permissive license.

• LLM Benchmarking — Run standardized evaluation tasks against one or more language models to compare outputs and performance metrics.
• CLI Interface — Invoke evaluations directly from the command line, making it easy to integrate into scripts, CI pipelines, or automated workflows.
• Open Source — Freely available on GitHub under an open-source license, allowing community contributions and full transparency into evaluation logic.
• Model Comparison — Evaluate multiple LLMs side-by-side to determine which model best fits a given task or domain.
• Reproducible Evaluations — Configuration-driven design ensures that benchmark runs can be repeated consistently across environments.
• Extensible Design — The codebase is structured to allow developers to add custom tasks, metrics, and model integrations as needed.