Developed by Google, PaliGemma 3B Pt 224 is a versatile vision-language model that excels at a wide range of vision-language tasks, including image and short video captioning, visual question answering, and object detection. Its architecture combines a Transformer decoder with a Vision Transformer image encoder, totaling 3 billion parameters.
Input
Output
Context
-
Max Output
0K
Parameters
2.9B
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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