PLaMo-100B

Training compute

1.2×10²⁴ FLOP

Parameters

100B

Published

Jun 14, 2024

PLaMo-100B is an AI model developed by Preferred Networks Inc (Japan), first published in June 2024. It works in the language domain, on tasks such as language modeling/generation.

Training it took an estimated 1.2×10²⁴ FLOP of compute (estimation method: operation counting). The model has 100,000,000,000 parameters.

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

Full record

Organization: Preferred Networks Inc
Country of organization: Japan
Domain: Language
Task: Language modeling/generation
Training compute: 1.2×10²⁴ FLOP
Compute estimation method: Operation counting
Parameters: 100,000,000,000
Model accessibility: API access
Open weights: No
Epoch confidence: Confident