Qwen2-72B

Training compute

3×10²⁴ FLOP

Parameters

72.7B

Published

Jun 7, 2024

Qwen2-72B is an AI model developed by Alibaba (China), first published in June 2024. It works in the language domain, on tasks such as chat, language modeling/generation and question answering.

Training it took an estimated 3×10²⁴ FLOP of compute (estimation method: operation counting). The model has 72,710,000,000 parameters. It was trained on roughly 7T datapoints.

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

Full record

Organization: Alibaba
Country of organization: China
Domain: Language
Task: Chat, Language modeling/generation, Question answering
Training compute: 3×10²⁴ FLOP
Compute estimation method: Operation counting
Parameters: 72,710,000,000
Dataset size: 7T
Numerical format: BF16
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident

Benchmark results

01

Epoch Capabilities Index

ECI Score

125.5