Model artifacts (serialized model files) - Model metadata (algorithm, hyperparameters, training data hash, training date) - Performance metrics (accuracy, precision, recall, AUC on test data) - Lineage (which data, which code, which pipeline produced this model) - Stage (development, staging, produc