# High-resolution visual understanding

LLaVA-UHD v2 is an advanced multimodal large language model built around a hierarchical window transformer, capable of capturing different visual granularities through a high-resolution feature pyramid.

CLIP model based on ConvNeXt-Large architecture, trained on LAION-2B dataset, supporting zero-shot image classification and image-text retrieval tasks.