Qwen2.5-VL-72B-Instruct-GGUF Open-Source Multimodal Model - Supports Interactive Generation of Image and Text

Qwen2.5 VL 72B Instruct GGUF

Developed by samgreen

Qwen2.5-VL-72B-Instruct is a multimodal vision-language model that supports interactive generation tasks involving images and text.

Downloads 2,073

Release Time : 3/19/2025

Model Overview

This model is a large-scale vision-language model capable of understanding and generating text related to images, suitable for multimodal tasks.

Multimodal Support

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

Large-Scale Parameters

Boasts 72 billion parameters, providing robust comprehension and generation capabilities.

Interactive Generation

Supports user interaction through instructions to generate text content that meets specific needs.

Image Understanding

Text Generation

Multimodal Interaction

Image Captioning

Automatic Image Annotation

Generates descriptive text based on input images.

Produces accurate and detailed image descriptions.

Visual Question Answering

Image Content Q&A

Answers specific questions about image content.

Provides accurate answers related to the image content.

Property	Details
Model Type	Multimodal image - text - to - text
Base Model	Qwen/Qwen2.5-VL-72B-Instruct

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base