GPT-2 (124M)

Training compute

7.9×10²⁰ FLOP

Parameters

124M

Published

Feb 14, 2019

GPT-2 (124M) is an AI model developed by OpenAI (United States), first published in February 2019. It works in the language domain, on tasks such as language modeling/generation.

Training it took an estimated 7.9×10²⁰ FLOP of compute (estimation method: operation counting). The model has 124,000,000 parameters. It was trained on roughly 10.7B datapoints.

Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 26,463 citations. Epoch AI rates the confidence of this record as speculative.

Full record

Organization: OpenAI
Country of organization: United States
Domain: Language
Task: Language modeling/generation
Training compute: 7.9×10²⁰ FLOP
Compute estimation method: Operation counting
Parameters: 124,000,000
Dataset size: 10.7B
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Citations: 26,463
Epoch confidence: Speculative