MuseNet

Training compute

2.2×10²⁰ FLOP

Parameters

2B

Published

Apr 25, 2019

MuseNet is an AI model developed by OpenAI (United States), first published in April 2019. It works in the audio domain, on tasks such as audio generation.

Training it took an estimated 2.2×10²⁰ FLOP of compute (estimation method: operation counting). The model has 2,038,431,744 parameters.

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

Full record

Organization: OpenAI
Country of organization: United States
Domain: Audio
Task: Audio generation
Training compute: 2.2×10²⁰ FLOP
Compute estimation method: Operation counting
Parameters: 2,038,431,744
Model accessibility: Unreleased
Open weights: No
Epoch confidence: Likely