TorchMultimodal provides modular and composable building blocks including fusion layers, loss functions, and datasets for building multimodal models. It includes implementations of canonical state-of-the-art models like ALBEF and BLIP-2 with pretrained weights. The library enables researchers to replicate published models and serves as a foundation for future multimodal research combining content understanding and generative capabilities.