Movie Gen Audio

Training compute

1.4×10²³ FLOP

Parameters

13B

Published

Oct 4, 2024

Movie Gen Audio is an AI model developed by Meta AI (United States), first published in October 2024. It works in the audio domain, on tasks such as audio generation.

Training it took an estimated 1.4×10²³ FLOP of compute (estimation method: hardware). The model has 13,000,000,000 parameters. Training ran on 384 NVIDIA H100 SXM5 80GB for about 360 hours.

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

Full record

Organization: Meta AI
Country of organization: United States
Domain: Audio
Task: Audio generation
Training compute: 1.4×10²³ FLOP
Compute estimation method: Hardware
Parameters: 13,000,000,000
Training hardware: NVIDIA H100 SXM5 80GB
Chips used: 384
Training time: 360 h
Training power draw: 529.4 kW
Model accessibility: Unreleased
Open weights: No
Epoch confidence: Confident