ToriiGate-v0.4-7B-GGUF Open-source Multimodal Model - Free Deployment, Supports Tasks like Image-Text Conversion

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Toriigate V0.4 7B GGUF

Developed by mradermacher

The static quantized version of ToriiGate-v0.4-7B, suitable for multimodal, vision, and image-text-to-text tasks

Image-to-Text

Transformers

EnglishOpen Source License:Apache-2.0 #Multimodal Vision #Image-Text Generation #Low-Resource Quantization

Downloads 668

Release Time : 3/4/2025

Model Overview

This is the static quantized version of the Minthy/ToriiGate-v0.4-7B model, supporting multimodal tasks, especially vision and image-text-to-text conversion

Model Features

Multimodal Support

Supports the joint processing of visual and text data

Quantized Version

Provides multiple quantized versions to meet different hardware requirements

Efficient Inference

After quantization, the model size is reduced, and the inference speed is improved

Model Capabilities

Image Understanding

Text Generation

Multimodal Inference

Use Cases

Visual Question Answering

Image Description Generation

Generate descriptive text based on the input image

Multimodal Applications

Image-to-Text Conversion

Convert visual information into text descriptions

🚀 ToriiGate-v0.4-7B Quantized Model

This project provides static quantizations of the Minthy/ToriiGate-v0.4-7B model, offering various quantized versions for different usage scenarios.

🚀 Quick Start

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi - part files.

✨ Features

Multimodal Support: It supports multimodal tasks such as vision and image - text - to - text processing.
Multiple Quantized Versions: Various quantized versions are available, providing different sizes and qualities to meet diverse needs.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

No code examples are provided in the original document.

📚 Documentation

About

Static quants of https://huggingface.co/Minthy/ToriiGate-v0.4-7B. Weighted/imatrix quants are available at https://huggingface.co/mradermacher/ToriiGate-v0.4-7B-i1-GGUF.

Provided Quants

(sorted by size, not necessarily quality. IQ - quants are often preferable over similar sized non - IQ quants)

Link	Type	Size/GB	Notes
GGUF	mmproj - fp16	1.5	multi - modal supplement
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	Q8_0	8.2	fast, best quality
GGUF	f16	15.3	16 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower - quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

🔧 Technical Details

No technical details are provided in the original document.

📄 License

This project is licensed under the apache - 2.0 license.

🙏 Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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