The olmo-eval workbench provides a standardized framework for evaluating large language models during development. It integrates diverse benchmarks to help researchers identify specific model weaknesses faster. This tool streamlines the iterative loop between training and testing. Practitioners can now benchmark OLMo models with higher precision and less manual overhead.