Qwen2.5-VL-32B-Instruct-GGUF Open-source Vision-language Model - Supports Joint Understanding and Generation of Images and Texts

Qwen2.5 VL 32B Instruct GGUF

Developed by samgreen

Qwen2.5-VL-32B-Instruct is a multimodal vision-language model that supports joint understanding and generation tasks for both images and text.

Image-to-Text EnglishOpen Source License:Apache-2.0 #Multimodal Image Understanding #32B Large Parameter Scale #Visual Instruction Fine-tuning

Downloads 25.59k

Release Time : 3/25/2025

Model Overview

This model is a 32B-parameter-scale multimodal model capable of handling joint tasks involving images and text, supporting various application scenarios such as image captioning and visual question answering.

Model Features

Multimodal Capability

Supports joint processing of images and text, enabling the understanding of image content and generating relevant textual descriptions.

Large Model Scale

32B parameter scale, equipped with powerful comprehension and generation capabilities.

Quantization Support

Supports GGUF format quantization for easier deployment on various hardware.

Model Capabilities

Image Caption Generation

Visual Question Answering

Multimodal Reasoning

Use Cases

Content Generation

Image Captioning

Generates detailed textual descriptions based on input images.

Produces accurate and detailed image caption texts.

Intelligent Q&A

Visual Question Answering

Answers natural language questions about image content.

Provides accurate and relevant answers.

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Qwen2.5 VL 32B Instruct GGUF

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Qwen2.5-VL-32B-Instruct

🚀 Quick Start

💻 Usage Examples

Basic Usage

📄 License