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Qwen2.5 VL 32B Instruct W4A16 G128
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Qwen2.5 VL 32B Instruct W4A16 G128

Developed by leon-se
Qwen2.5-VL-32B-Instruct is a 32B-parameter multimodal large language model supporting vision and language tasks, suitable for complex multimodal interaction scenarios.
Image-to-Text
Safetensors
Open Source License:Apache-2.0#Multimodal Instruction Understanding#Ultra-large Scale Parameters#Complex Image Reasoning
Downloads 16
Release Time : 3/25/2025

Model Overview

This model combines visual and language processing capabilities, capable of understanding and generating text related to images, suitable for multimodal interaction and complex reasoning tasks.

Model Features

Multimodal Understanding
Capable of processing both image and text inputs, understanding the relationship between them.
Large-scale Parameters
32B parameters provide powerful reasoning and generation capabilities.
Instruction Following
Optimized for instructions, better able to follow user directions to complete tasks.

Model Capabilities

Image Understanding
Text Generation
Multimodal Reasoning
Instruction Following

Use Cases

Content Generation
Image Captioning
Generate detailed descriptions based on input images
Produces accurate and rich image descriptions
Visual Question Answering
Answer complex questions about image content
Provides accurate and in-depth answers
Education
Multimodal Learning Assistance
Help students understand complex concepts by combining images and textual explanations
Enhances learning outcomes and depth of understanding
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