The repository provides code for pretraining, fine-tuning, evaluating, and running inference on OLMo language models. It implements a two-stage training procedure involving large-scale web-based pretraining followed by targeted high-quality data refinement. The project includes modeling implementations, training infrastructure, evaluation pipelines, and inference utilities built on PyTorch.