The Olmo-Eval workbench provides a standardized framework for evaluating open language models during development. It integrates diverse benchmarks to help researchers identify specific model weaknesses. This tool streamlines the iterative loop between training and testing. Developers can now pinpoint exactly where a model fails before committing to full-scale deployment.