Qwen2-VL-7B-Instruct-GGUF Open-Source Multimodal Model - Free Support for Image and Text Interaction Tasks

Qwen2 VL 7B Instruct GGUF

Developed by gaianet

Qwen2-VL-7B-Instruct is a 7B-parameter multimodal model supporting image-text interaction tasks.

Image-to-Text EnglishOpen Source License:Apache-2.0 #Multimodal Instruction Understanding #Long-context Visual Dialogue #Quantization-efficient Inference

Downloads 102

Release Time : 12/15/2024

Model Overview

This model is a vision-language model capable of processing both image and text inputs to perform tasks like image understanding and visual question answering.

Model Features

Multimodal Capability

Supports joint processing of images and text, capable of understanding image content and generating relevant textual responses.

Large Context Window

Supports context lengths up to 32,000 tokens, suitable for handling complex tasks.

Efficient Inference

Optimized through quantization for efficient operation on hardware with limited resources.

Model Capabilities

Image Understanding

Visual Question Answering

Multimodal Dialogue

Image Caption Generation

Use Cases

Content Understanding

Image Caption Generation

Generates detailed textual descriptions for input images.

Intelligent Assistant

Visual Question Answering

Answers natural language questions about image content.

Property	Details
Model Name	Qwen2-VL-7B-Instruct-GGUF
Original Model	Qwen/Qwen2-VL-7B-Instruct
Model Creator	Qwen
Quantized By	Second State Inc.
License	apache-2.0
Language	en
Pipeline Tag	image-text-to-text
Tags	multimodal
Library Name	transformers

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Qwen2 VL 7B Instruct GGUF

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Qwen2-VL-7B-Instruct-GGUF

📦 Installation

✨ Features

🚀 Quick Start

Original Model

Run with Gaianet

Model Information

Additional Note