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README.md

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 **FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models**
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 FreeEval is a modular and extensible framework for conducting trustworthy and efficient automatic evaluations of large language models (LLMs). The toolkit unifies various evaluation approaches, including dataset-based evaluators, reference-based metrics, and LLM-based evaluators, within a transparent and reproducible framework. FreeEval incorporates meta-evaluation techniques such as human evaluation and data contamination detection to enhance the reliability of evaluation results. The framework is built on a high-performance infrastructure that enables efficient large-scale evaluations across multi-node, multi-GPU clusters, supporting both open-source and proprietary LLMs. With its focus on modularity, trustworthiness, and efficiency, FreeEval aims to provide researchers with a standardized and comprehensive platform for gaining deeper insights into the capabilities and limitations of LLMs.
 
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 ## Quick Start