Qwen2.5-VL-7B-Instruct: An Open-Source Multimodal Model - Free Processing of Image and Text for Vision-Language Tasks

Jedi 7B 1080p

Developed by xlangai

Qwen2.5-VL-7B-Instruct is a multimodal model based on the Qwen2.5 architecture, supporting joint processing of images and text, suitable for vision-language tasks.

Image-to-Text

Safetensors

EnglishOpen Source License:Apache-2.0 #Multimodal Instruction Understanding #7B Parameter Scale #English Visual Question Answering

Downloads 239

Release Time : 4/28/2025

Model Overview

This model is a vision-language model capable of processing image and text inputs to generate text outputs. Suitable for tasks such as image understanding and visual question answering.

Model Features

Multimodal Processing

Supports joint input of images and text, capable of understanding image content and generating relevant text.

Instruction Following

Can generate text outputs that comply with user instructions.

Large-Scale Pretraining

Based on a 7B-parameter pretrained model, equipped with strong comprehension and generation capabilities.

Model Capabilities

Image Understanding

Visual Question Answering

Text Generation

Multimodal Reasoning

Use Cases

Visual Question Answering

Image Content Description

Generates detailed textual descriptions based on input images.

Produces accurate and detailed image descriptions.

Visual Question Answering

Answers natural language questions about image content.

Provides accurate and relevant answers.

Multimodal Reasoning

Image Reasoning

Performs reasoning and generation based on image and text inputs.

Generates logically sound reasoning results.

Property	Details
Base Model	Qwen/Qwen2.5-VL-7B-Instruct
Pipeline Tag	image-text-to-text
License	Apache 2.0

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Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Image-Text-to-Text Model

🚀 Quick Start

📄 License

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