MiniCPM-2.4B

Training compute

1.6×10²² FLOP

Parameters

2.4B

Published

Jun 3, 2024

MiniCPM-2.4B is an AI model developed by Tsinghua University and ModelBest (China), first published in June 2024. It works in the language domain, on tasks such as language modeling/generation, code generation and translation.

Training it took an estimated 1.6×10²² FLOP of compute (estimation method: operation counting). The model has 2,442,057,984 parameters.

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

Full record

Organization: Tsinghua University, ModelBest
Country of organization: China
Domain: Language
Task: Language modeling/generation, Code generation, Translation
Training compute: 1.6×10²² FLOP
Compute estimation method: Operation counting
Parameters: 2,442,057,984
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Confident