The olmo-eval workbench provides a standardized framework for testing large language models throughout the development cycle. It integrates diverse benchmarks to help researchers identify specific model weaknesses quickly. This tool streamlines the iterative loop between training and evaluation. Developers can now pinpoint failure modes without building custom testing pipelines from scratch.