A vision-language encoder that specializes in processing images with variable resolutions through its NaViT architecture, avoiding the need to resize or crop inputs to fixed dimensions. It handles visual understanding tasks with flexibility in input shape, making it practical for real-world image diversity. As an encoder component rather than a full generative model, it produces representations rather than open-ended text responses.