MM1-30B

Training compute

4.9×10²³ FLOP

Parameters

30B

Published

Mar 14, 2024

MM1-30B is an AI model developed by Apple (United States), first published in March 2024. It works in the multimodal, language and vision domain, on tasks such as chat, image captioning and visual question answering.

Training it took an estimated 4.9×10²³ FLOP of compute (estimation method: operation counting). The model has 30,000,000,000 parameters.

Access: Unreleased. Its weights are not openly released. The reference paper has 266 citations. Epoch AI rates the confidence of this record as likely.

Full record

Organization: Apple
Country of organization: United States
Domain: Multimodal, Language, Vision
Task: Chat, Image captioning, Visual question answering
Training compute: 4.9×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 30,000,000,000
Model accessibility: Unreleased
Open weights: No
Citations: 266
Epoch confidence: Likely