SRU++ Base

Training compute

2.6×10¹⁹ FLOP

Parameters

148M

Published

Feb 24, 2021

SRU++ Base is an AI model developed by ASAPP (United States), first published in February 2021. It works in the language domain, on tasks such as language modeling.

Training it took an estimated 2.6×10¹⁹ FLOP of compute (estimation method: hardware). The model has 148,000,000 parameters. Training ran on 8 NVIDIA V100 for about 24 hours.

Access: Unreleased. Its weights are not openly released. The reference paper has 54 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: ASAPP
Country of organization: United States
Domain: Language
Task: Language modeling
Training compute: 2.6×10¹⁹ FLOP
Compute estimation method: Hardware
Parameters: 148,000,000
Training hardware: NVIDIA V100
Chips used: 8
Training time: 24 h
Training power draw: 4.9 kW
Model accessibility: Unreleased
Open weights: No
Citations: 54
Epoch confidence: Confident