VISION-1-GGUF Open-source Text Classification Model - Empowering Content Review and Secure Classification

VISION 1 GGUF

Developed by mradermacher

VISION-1 is a content moderation and safety classification model based on transformers, focusing on text classification tasks.

Text Classification English#Content Safety Review #Multi-precision Quantization #Text Classification

Downloads 153

Release Time : 1/14/2025

Model Overview

This model is primarily used for content moderation and safety-related text classification tasks, supporting English language processing.

Model Features

Multi-quantization Version Support

Provides 12 quantization versions from Q2_K to f16 to meet performance and precision requirements in different scenarios.

Content Safety Review

A text classification model specifically optimized for unsafe content detection.

Efficient Inference

Quantized versions significantly reduce model size and improve inference speed.

Model Capabilities

Text Classification

Content Moderation

Safety Analysis

Use Cases

Content Moderation

Social Media Content Filtering

Automatically identify and filter inappropriate content.

Enhances platform content safety.

User-generated Content Review

Real-time detection of the safety of user-submitted text.

Reduces manual review workload.

🚀 VISION-1 GGUF Quantizations

This project provides static quantizations of the OverseerAI/VISION-1 model, offering various GGUF file options for different use cases.

🚀 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

Model Quantization: Offers static quantizations of the OverseerAI/VISION-1 model.
Multiple Quant Types: Provides a range of quant types with different sizes and qualities.
Community Support: Allows users to request specific quantizations through community discussions.

📦 Installation

No specific installation steps are provided in the original document.

📚 Documentation

About

These are static quants of OverseerAI/VISION-1. Weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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	Q2_K	3.3
GGUF	Q3_K_S	3.8
GGUF	Q3_K_M	4.1	lower quality
GGUF	Q3_K_L	4.4
GGUF	IQ4_XS	4.6
GGUF	Q4_K_S	4.8	fast, recommended
GGUF	Q4_K_M	5.0	fast, recommended
GGUF	Q5_K_S	5.7
GGUF	Q5_K_M	5.8
GGUF	Q6_K	6.7	very good quality
GGUF	Q8_0	8.6	fast, best quality
GGUF	f16	16.2	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: Artefact2's Gist

FAQ / Model Request

See Model Requests for some answers to questions you might have and/or if you want some other model quantized.

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.

📄 License

The model is licensed under llama3.1.

Information Table

Property	Details
Model Type	OverseerAI/VISION-1
Training Data	Not provided
Library Name	transformers
License	llama3.1
Quantized By	mradermacher
Tags	text - classification, content - moderation, safety, transformers

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご