FasterViT is a PyTorch implementation of a hierarchical vision transformer that introduces Hierarchical Attention (HAT) to capture both short and long-range spatial information via cross-window carrier tokens. It serves as a strong backbone for various computer vision tasks including image classification on ImageNet, object detection on COCO, and semantic segmentation on ADE20K. The model achieves competitive accuracy-throughput tradeoffs on standard benchmarks.