Qwen2-VL-7B-Instruct-onnx Open-Source Vision-Language Model: Powerful for Image Understanding and Instruction Interaction

Qwen2 VL 7B Instruct Onnx

Developed by pdufour

This is a vision-language model based on the Qwen2-VL architecture with 7B parameters, supporting image understanding and instruction interaction.

Text-to-Image

Transformers

Open Source License:Apache-2.0 #Multimodal Instruction Understanding #High-Precision Visual Reasoning #Browser-Side Deployment

Downloads 47

Release Time : 11/3/2024

Model Overview

This model is a multimodal vision-language model capable of processing image and text inputs to perform tasks such as visual question answering and image caption generation.

Model Features

Multimodal Capability

Processes both image and text inputs to enable vision-language interaction.

Instruction Following

Supports natural language instructions and can execute specific tasks based on them.

Efficient Inference

Optimized via ONNX format, supporting execution in WebGPU environments.

Model Capabilities

Image understanding

Visual question answering

Image caption generation

Multimodal interaction

Use Cases

Smart Assistants

Image Content Q&A

Users upload images and ask related questions, and the model provides accurate answers.

Enhances user experience and enables natural human-machine interaction.

Content Generation

Automatic Image Captioning

Generates detailed textual descriptions for images.

Improves content accessibility and assists visually impaired users.

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Qwen2 VL 7B Instruct Onnx

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 7b Qwen2-VL Image Model

🚀 Quick Start

📄 License