VideoLLaMA3 is a frontier multimodal foundation model from DAMO-NLP-SG that processes both images and videos alongside text for understanding tasks. It extends LLaMA-style language model architecture with visual encoders to enable video comprehension and image understanding. The project provides Hugging Face model checkpoints and interactive demos for both image and video understanding.