Microsoft's Florence 2 Large is a chat model that excels in vision tasks, including captioning, object detection, and segmentation, using a prompt-based approach. It leverages a sequence-to-sequence architecture and is trained on the FLD-5B dataset, containing 5.4 billion annotations across 126 million images.
Input
Output
Context
4K
Max Output
1K
Parameters
776.7M
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 24, 2026
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