Hiera is a hierarchical vision transformer architecture that simplifies the design of vision transformers by removing unnecessary components while maintaining strong performance. The model achieves state-of-the-art results on image classification and other vision tasks with faster training and inference speeds. It provides implementations compatible with PyTorch Hub and Hugging Face Hub.