Gemma explained: PaliGemma architecture

PaliGemma is a versatile vision-language model (VLM) that integrates both image and text inputs to generate text responses, inspired by PaLI-3 and utilizing components such as the SigLIP vision model and the Gemma language model. This model architecture employs a specialized Gemma 2B model in conjunction with an image encoder to process inputs, with the vision model handling image segmentation and object detection by breaking images into patches and encoding spatial information. PaliGemma uses a multi-modal projector to combine vision and language representations, enabling it to generate coherent outputs from both image and text data. The model's tokenizer extends its vocabulary to include tokens for coordinates and segmentation tasks, facilitating advanced image processing capabilities. Released by Google, the Gemma family, including PaliGemma, offers a broad range of functionalities for modern language model systems, making it suitable for a diverse array of tasks and fostering collaborative development within the Google Developer Community.

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