Gemma 1.1 7B Instruct

Training compute

3.1×10²³ FLOP

Parameters

8.5B

Published

Feb 24, 2024

Gemma 1.1 7B Instruct is an AI model developed by Google (United States), first published in February 2024. It works in the language domain, on tasks such as language modeling/generation and question answering.

Training it took an estimated 3.1×10²³ FLOP of compute (estimation method: operation counting). The model has 8,540,000,000 parameters. It was trained on roughly 6T datapoints. Training ran on Google TPU v5e.

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

Full record

Organization: Google
Country of organization: United States
Domain: Language
Task: Language modeling/generation, Question answering
Training compute: 3.1×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 8,540,000,000
Dataset size: 6T
Training hardware: Google TPU v5e
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Confident