MobileCLIP-B (LT)

Training compute

1.3×10²² FLOP

Parameters

149.7M

Published

Apr 1, 2024

MobileCLIP-B (LT) is an AI model developed by Apple (United States), first published in April 2024. It works in the vision domain, on tasks such as image captioning and image classification.

Training it took an estimated 1.3×10²² FLOP of compute (estimation method: operation counting). The model has 149,700,000 parameters. Training ran on 256 NVIDIA A100 SXM4 80 GB.

Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as likely.

Full record

Organization: Apple
Country of organization: United States
Domain: Vision
Task: Image captioning, Image classification
Training compute: 1.3×10²² FLOP
Compute estimation method: Operation counting
Parameters: 149,700,000
Training hardware: NVIDIA A100 SXM4 80 GB
Chips used: 256
Training power draw: 202.5 kW
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Likely