Florence-2-B (base)

Training compute

5.4×10²¹ FLOP

Parameters

232M

Published

Jul 29, 2024

Florence-2-B (base) is an AI model developed by Microsoft (United States), first published in July 2024. It works in the vision domain, on tasks such as image captioning, visual question answering, image classification and object detection.

Training it took an estimated 5.4×10²¹ FLOP of compute (estimation method: operation counting). The model has 232,000,000 parameters. It was trained on roughly 22.9B datapoints.

Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as likely.

Full record

Organization: Microsoft
Country of organization: United States
Domain: Vision
Task: Image captioning, Visual question answering, Image classification, Object detection
Training compute: 5.4×10²¹ FLOP
Compute estimation method: Operation counting
Parameters: 232,000,000
Dataset size: 22.9B
Model accessibility: Unreleased
Open weights: No
Epoch confidence: Likely