Machine Learning (ML) models are mathematical representations learned from data that enable machines to make predictions, classifications, or decisions. Without proper documentation, they function as opaque black boxes. In a fast-moving research landscape, model cards help ground innovation in clarity and trust. Think of them as READMEs for models with rich metadata that make ML models easier to discover, evaluate, reproduce, and share.