Ling-mini-base-2.0-20T

Training compute

1.7×10²³ FLOP

Parameters

16B

Published

Sep 10, 2025

Ling-mini-base-2.0-20T is an AI model developed by Ant Group (China), first published in September 2025. It works in the language domain, on tasks such as language modeling/generation and question answering.

Training it took an estimated 1.7×10²³ FLOP of compute (estimation method: operation counting). The model has 16,000,000,000 parameters. It was trained on roughly 20T datapoints.

Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Ant Group
Country of organization: China
Domain: Language
Task: Language modeling/generation, Question answering
Training compute: 1.7×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 16,000,000,000
Dataset size: 20T
Numerical format: FP8
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident