Developed by Google, Paligemma 3B Ft Cococap 448 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. Notably, it features a Transformer decoder and a Vision Transformer image encoder with 3 billion parameters, allowing it to effectively process both image and text inputs.
Input
Output
Context
1K
Max Output
1K
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
Automatically route workloads to the right model for every task, every time.