PaliGemma-3B is a 3 billion parameter vision-language model developed by Google. The mix-224 variant is designed for a variety of image-text-to-text tasks. It is built on top of the SigLIP vision encoder and Gemma language model and is distributed openly on Hugging Face for research and development use.
Paligemma 3b Mix 224 sits in PulseGate's Foundation models & chat category. It focuses on performing vision-language tasks such as image captioning, visual question answering, and image-text understanding in a single model. Paligemma 3b Mix 224 is an open-source project aimed at AI researchers and developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Behind Paligemma 3b Mix 224 is Google, and the product first shipped in 2018. The project is developed in the open on GitHub with 36k stars and 1.8k commits in the last 90 days.
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