Qwen2-VL-72B

Training compute

6×10²³ FLOP

Parameters

72B

Published

Sep 18, 2024

Qwen2-VL-72B is an AI model developed by Alibaba (China), first published in September 2024. It works in the language, vision and multimodal domain, on tasks such as visual question answering, video description, language modeling/generation and 4 more.

Training it took an estimated 6×10²³ FLOP of compute (estimation method: operation counting). The model has 72,000,000,000 parameters. It was trained on roughly 1.4T 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, Vision, Multimodal
Task: Visual question answering, Video description, Language modeling/generation, Translation, Question answering, Character recognition (OCR), Quantitative reasoning
Training compute: 6×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 72,000,000,000
Dataset size: 1.4T
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Confident