The OLMo-Eval framework provides a standardized workbench for evaluating open 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. Developers can now pinpoint exactly where their model fails without running fragmented, manual evaluation scripts.