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Qwen.qwen2.5 VL 7B Instruct GGUF
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Qwen.qwen2.5 VL 7B Instruct GGUF

Developed by DevQuasar
Qwen2.5-VL-7B-Instruct is a 7B-parameter multimodal vision-language model that supports joint understanding and generation tasks for images and text.
Image-to-Text#Multimodal Image-Text Understanding#7B Parameter Lightweight#Zero-Shot Instruction Following
Downloads 2,225
Release Time : 3/26/2025

Model Overview

This model is a multimodal model based on the Qwen2.5 architecture, capable of processing image and text inputs and generating corresponding text outputs. Suitable for tasks such as visual question answering and image caption generation.

Model Features

Multimodal Understanding
Capable of processing both image and text inputs and understanding the relationship between them.
Instruction Following
Supports task execution based on instructions, generating corresponding outputs according to user commands.
Large-Scale Parameters
7B parameter scale, equipped with strong comprehension and generation capabilities.

Model Capabilities

Image Understanding
Text Generation
Visual Question Answering
Image Caption Generation
Multimodal Reasoning

Use Cases

Content Generation
Image Caption Generation
Generate detailed textual descriptions for input images.
Produces natural language descriptions that match the image content.
Intelligent Q&A
Visual Question Answering
Answer related questions based on image content.
Provides accurate answers based on the image content.
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