PaliGemma 2 mix is an upgraded vision language model from Google, belonging to the Gemma family. It can handle various vision and language tasks, such as image segmentation, video captioning, and scientific question answering. The model provides pre-trained checkpoints in different sizes (3B, 10B, and 28B parameters), making it easy to fine-tune for a variety of visual language tasks. Its main advantages are versatility, high performance, and developer-friendliness, supporting multiple frameworks (such as Hugging Face Transformers, Keras, PyTorch, etc.). This model is suitable for developers and researchers who need to efficiently process vision and language tasks, significantly improving development efficiency.