MiMo-7B-Base

Training compute

1.1×10²⁴ FLOP

Parameters

7B

Published

Jun 5, 2025

MiMo-7B-Base is an AI model developed by Xiaomi Corp (China), first published in June 2025. It works in the language domain, on tasks such as language modeling/generation, question answering, quantitative reasoning and code generation.

Training it took an estimated 1.1×10²⁴ FLOP of compute (estimation method: operation counting). The model has 7,000,000,000 parameters. It was trained on roughly 25T datapoints.

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

Full record

Organization: Xiaomi Corp
Country of organization: China
Domain: Language
Task: Language modeling/generation, Question answering, Quantitative reasoning, Code generation
Training compute: 1.1×10²⁴ FLOP
Compute estimation method: Operation counting
Parameters: 7,000,000,000
Dataset size: 25T
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident