Qwen1.5-72B

Training compute

1.3×10²⁴ FLOP

Parameters

72B

Published

Feb 4, 2024

Qwen1.5-72B is an AI model developed by Alibaba (China), first published in February 2024. It works in the language domain, on tasks such as chat, language modeling/generation, quantitative reasoning and 2 more.

Training it took an estimated 1.3×10²⁴ FLOP of compute (estimation method: operation counting). The model has 72,000,000,000 parameters. It was trained on roughly 3T datapoints.

Access: Open weights (restricted use). 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, Quantitative reasoning, Code generation, Translation
Training compute: 1.3×10²⁴ FLOP
Compute estimation method: Operation counting
Parameters: 72,000,000,000
Dataset size: 3T
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Confident