lighteval
Lighteval facilitates the evaluation of large language models (LLMs) with a versatile toolkit supporting various backends such as transformers, tgi, vllm, and nanotron. It enables detailed exploration of model performance and customization of tasks and metrics. Results can be stored on Hugging Face Hub, S3, or locally, supporting experimentation and benchmarking. With an easy-to-integrate Python API, it is suitable for a wide range of developers. Evolving from Eleuther AI Harness and taking cues from the HELM framework, it excels in speed, completeness, and multi-platform compatibility.
