Qwen2-VL-72B Open-Source Vision-Language Model - Free Deployment with Support for Text-Image Multi-Modal Understanding and Generation

Qwen.qwen2 VL 72B GGUF

Developed by DevQuasar

Qwen2-VL-72B is a powerful vision-language model that supports multimodal understanding and generation of images and text.

Downloads 125

Release Time : 12/17/2024

Model Overview

Qwen2-VL-72B is a multimodal model capable of handling joint tasks involving images and text, suitable for various vision-language tasks.

Multimodal Understanding

Capable of processing both image and text inputs, enabling cross-modal understanding and generation.

Large-scale Parameters

Boasts 72B parameters, offering strong representation and learning capabilities.

General Task Support

Suitable for various vision-language tasks such as image captioning and visual question answering.

Image Understanding

Text Generation

Visual Question Answering

Image Caption Generation

Content Generation

Image Caption Generation

Generates detailed textual descriptions for input images.

Produces accurate and detailed image captions.

Intelligent Question Answering

Visual Question Answering

Answers natural language questions about image content.

Provides accurate and contextually relevant answers.

Property	Details
Base Model	Qwen/Qwen2-VL-72B
Pipeline Tag	image-text-to-text

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