Qwen2 VL 72B Instruct
Qwen2-VL-72B-Instruct is a multimodal vision-language model that supports interaction between images and text, suitable for complex vision-language tasks.
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Release Time : 3/17/2025
Model Overview
This model is an instruction-tuned version based on Qwen2-VL-72B, specifically designed for handling complex tasks that combine images and text, capable of understanding and generating text content related to images.
Model Features
Multimodal support
Capable of processing both image and text inputs, enabling cross-modal understanding and generation.
Large-scale parameters
With 72 billion parameters, it possesses powerful computational and comprehension capabilities.
Instruction tuning
Fine-tuned with instructions to better follow user commands and complete complex tasks.
Model Capabilities
Image understanding
Text generation
Cross-modal reasoning
Visual question answering
Use Cases
Visual question answering
Image content description
Generate detailed textual descriptions based on input images.
Produces accurate and detailed textual descriptions of images.
Visual reasoning
Perform complex reasoning tasks by combining image and text inputs.
Capable of understanding and reasoning about complex scenes and relationships in images.
Education
Educational assistance
Help students understand complex image content, such as scientific diagrams or historical pictures.
Provides detailed explanations and background information to enhance learning outcomes.
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