Florence 2 Base
Florence 2 Base 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
- 230M
- 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 Base is a compact, open-source vision-language model by Microsoft designed to tackle a diverse range of vision tasks through a unified sequence-to-sequence framework 1210. It seamlessly processes images and text prompts for tasks such as captioning, object detection, segmentation, and visual grounding, all managed through a single set of parameters guided by task-specific prompts 34. With a relatively small size of 0.23 billion parameters, it is optimized for devices with limited computational resources, yet its performance is comparable to larger models, owing to its training on the expansive FLD-5B dataset with 5.4 billion annotations across 126 million images 47.
Florence 2 Base is a model in the Florence 2 family. No headline benchmark score is tracked for Florence 2 Base 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.