Qwen2-VL-7B-Captioner-Relaxed-GGUF Open-Source Model - Free for Precise Image-to-Text Tasks

Qwen2 VL 7B Captioner Relaxed GGUF

Developed by r3b31

This model is a GGUF format conversion based on Qwen2-VL-7B-Captioner-Relaxed, optimized for image-to-text tasks and supports running via tools like llama.cpp and Koboldcpp.

Image-to-Text EnglishOpen Source License:Apache-2.0 #Image Caption Generation #Multimodal Model #GGUF Lightweight

Downloads 321

Release Time : 3/3/2025

Model Overview

This is a vision-language model capable of converting image content into descriptive text, suitable for image annotation and content understanding tasks.

Model Features

GGUF Format Optimization

Converted to GGUF format for efficient operation in tools like llama.cpp and Koboldcpp.

Image Content Understanding

Accurately understands image content and generates descriptive text.

Multi-Tool Compatibility

Tested with llamacpp and Koboldcpp to ensure compatibility across different tools.

Model Capabilities

Image Content Description

Visual Language Understanding

Multimodal Processing

Use Cases

Image Annotation

Automatic Image Annotation

Generates descriptive tags for images, suitable for content management systems.

Improves image retrieval efficiency and accuracy.

Assistive Tools

Visual Assistance

Provides image content descriptions for visually impaired users.

Enhances accessibility experience.

Property	Details
Model Type	Image - to - text
Base Model	Ertugrul/Qwen2-VL-7B-Captioner-Relaxed
Pipeline Tag	image - to - text
Tags	llama - cpp, gguf - my - repo, lmstudio, koboldcpp

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Qwen2 VL 7B Captioner Relaxed GGUF

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 r3b31/Qwen2-VL-7B-Captioner-Relaxed-GGUF

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