The OLMo-Eval workbench integrates evaluation directly into the model development loop. It allows researchers to track performance across diverse benchmarks during training rather than waiting for final weights. This tightens the feedback loop for Allen Institute for AI developers. Practitioners can now iterate on model architectures with faster, data-driven validation.