ERNIE-Doc Base (151M, WT103)

Training compute

1.7×10¹⁸ FLOP

Parameters

151M

Published

Dec 31, 2020

ERNIE-Doc Base (151M, WT103) is an AI model developed by Baidu (China), first published in December 2020. It works in the language domain, on tasks such as language modeling and language modeling/generation.

Training it took an estimated 1.7×10¹⁸ FLOP of compute (estimation method: operation counting). The model has 151,000,000 parameters. It was trained on roughly 103M datapoints.

Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 64 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Baidu
Country of organization: China
Domain: Language
Task: Language modeling, Language modeling/generation
Training compute: 1.7×10¹⁸ FLOP
Compute estimation method: Operation counting
Parameters: 151,000,000
Dataset size: 103M
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Citations: 64
Epoch confidence: Confident