Qwen2-VL-7B

Training compute

6.7×10²² FLOP

Parameters

8B

Published

Sep 18, 2024

Qwen2-VL-7B 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 6.7×10²² FLOP of compute (estimation method: operation counting). The model has 8,000,000,000 parameters.

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, Vision, Multimodal
Task: Visual question answering, Video description, Language modeling/generation, Translation, Question answering, Character recognition (OCR), Quantitative reasoning
Training compute: 6.7×10²² FLOP
Compute estimation method: Operation counting
Parameters: 8,000,000,000
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident