The olmo-eval workbench provides a standardized framework for testing large language models during development. It integrates diverse evaluation datasets to help researchers identify specific model failures quickly. This tool streamlines the iterative loop between training and testing. Developers can now pinpoint weaknesses in OLMo models without manual, ad-hoc benchmarking.