The olmo-eval workbench provides a standardized framework for testing open-source language models. It integrates diverse evaluation datasets to help developers identify specific model weaknesses during training. This tool streamlines the iterative loop between data curation and model refinement. Practitioners can now benchmark OLMo iterations with greater consistency and transparency.