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 quickly. This tool streamlines the iterative loop between training and testing. Practitioners can now more accurately measure performance gains before committing to full-scale deployment of OLMo models.