Vintern-1B-v3_5-GGUF-ext Open-Source Vision-Language Model - Free Deployment to Aid Image-Text Generation

Vintern 1B V3 5 GGUF Ext

Developed by rootonchair

Vintern-1B-v3_5 is a 1-billion-parameter vision-language model supporting image-text generation tasks.

Text-to-Image Open Source License:MIT #Multimodal Text Generation #Lightweight Quantization #Image-to-Text

Downloads 242

Release Time : 5/16/2025

Model Overview

This model is a vision-language foundation model focused on image-to-text generation tasks, offering multiple quantization versions to accommodate different hardware requirements.

Model Features

Multiple Quantization Versions

Offers 11 quantization versions from Q2_K to f16 to meet various performance and precision needs

Efficient Inference

GGUF format optimizes model inference efficiency, suitable for resource-constrained environments

Image Understanding

Capable of understanding image content and generating relevant textual descriptions

Model Capabilities

Image content understanding

Image caption generation

Multimodal reasoning

Use Cases

Content Generation

Automatic Image Tagging

Automatically generates descriptive text for images

Assistive Tools

Visual Assistance

Helps visually impaired individuals understand image content

Property	Details
Base Model	5CD-AI/Vintern-1B-v3_5
Library Name	transformers
License	mit
Pipeline Tag	image-text-to-text

Link	Type	Size/GB	Notes
GGUF	Q2_K	3.1
GGUF	Q3_K_S	3.6
GGUF	Q3_K_M	3.9	lower quality
GGUF	Q3_K_L	4.2
GGUF	IQ4_XS	4.4
GGUF	Q4_K_S	4.6	fast, recommended
GGUF	Q4_K_M	4.8	fast, recommended
GGUF	Q5_K_S	5.4
GGUF	Q5_K_M	5.5
GGUF	Q6_K	6.4	very good quality
GGUF	f16	15.3	16 bpw, overkill

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Vintern 1B V3 5 GGUF Ext

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Vintern-1B-v3_5 GGUF Extension

🚀 Quick Start

Model Information

💻 Usage Examples

Basic Usage

📚 Documentation

Provided Quants

📄 License