Gemma 3 1B

Training compute

1.2×10²² FLOP

Parameters

1B

Published

Mar 12, 2025

Gemma 3 1B is an AI model developed by Google DeepMind (United States), first published in March 2025. It works in the language domain, on tasks such as language modeling/generation, question answering, translation and 4 more.

Training it took an estimated 1.2×10²² FLOP of compute (estimation method: operation counting). The model has 1,000,000,000 parameters. It was trained on roughly 2T datapoints. Training ran on 512 Google TPU v5e.

Access: Open weights (restricted use). Its weights are openly available. It is built on top of SigLIP 400M. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Google DeepMind
Country of organization: United States
Domain: Language
Task: Language modeling/generation, Question answering, Translation, Chat, Quantitative reasoning, Code generation, Mathematical reasoning
Training compute: 1.2×10²² FLOP
Compute estimation method: Operation counting
Parameters: 1,000,000,000
Dataset size: 2T
Training hardware: Google TPU v5e
Chips used: 512
Training power draw: 226.1 kW
Model accessibility: Open weights (restricted use)
Open weights: Yes
Base model: SigLIP 400M
Epoch confidence: Confident