Florence 2 Large
Florence 2 Large has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Florence 2
- Released
- 2024-06-10
- Parameters
- 770M
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
Advancing the state-of-the-art in AI and computing.
No tracked provider token pricing is available yet.
About
Florence-2 Large is a versatile vision-language foundation model by Microsoft Azure AI, open-sourced under the MIT license. This model excels in handling a variety of vision and vision-language tasks through a unified, prompt-based approach. Unlike single-task focused models, Florence-2 adeptly manages multiple tasks such as image captioning, object detection, visual grounding, and segmentation. Despite its compact size of 0.77 billion parameters, it rivals much larger models in performance due to its training on the extensive FLD-5B dataset. Its architecture features a sequence-to-sequence framework with a DaViT image encoder and a multi-modality encoder-decoder. Florence-2's ability to process diverse tasks with a singular architecture, paired with strong zero-shot and fine-tuning performance, makes it suitable for deployment on resource-constrained devices.
Florence 2 Large is a model in the Florence 2 family. No headline benchmark score is tracked for Florence 2 Large yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.