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