The olmo-eval workbench provides a standardized framework for testing large language models throughout the development cycle. It integrates diverse evaluation datasets to help researchers identify specific model weaknesses quickly. This tool streamlines the iterative loop between training and testing. Developers can now benchmark OLMo models with greater precision and reproducibility.