Mi:dm 200B

Training compute

1.2×10²⁴ FLOP

Parameters

200B

Published

Oct 31, 2023

Mi:dm 200B is an AI model developed by KT (South Korea), first published in October 2023. 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 200,000,000,000 parameters. It was trained on roughly 1T datapoints.

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

Full record

Organization: KT
Country of organization: South Korea
Domain: Language
Task: Language modeling/generation
Training compute: 1.2×10²⁴ FLOP
Compute estimation method: Operation counting
Parameters: 200,000,000,000
Dataset size: 1T
Model accessibility: API access
Open weights: No
Epoch confidence: Confident