You can deploy this model and start earning money today!

intellioni/
Intelligem-V1-Safety-0.3B

Name: Intelligem-V1-Safety-0.3B
Availability: InStock

safetensors

xlm-roberta

text-classification

nvidia/Nemotron-3.5-Content-Safety-Dataset

FacebookAI/xlm-roberta-base

finetune

apache-2.0

Views

No views yet

🛡️ Intelligem-V1-Safety-0.3B

Lightweight AI Safety Classification Model for Input Moderation

License

Model Size

Safety

📖 Overview

Intelligem-V1-Safety-0.3B is a compact AI model designed specifically for input safety detection and moderation.

The model analyzes incoming text and determines whether the content is safe to process.

Output Format

The model returns only one of two labels:

✅ safe — input is considered safe
⚠️ unsafe — input contains unsafe, harmful, prohibited, or suspicious content

✨ Features

🛡️ Fast safety classification
⚡ Lightweight 0.3B parameter architecture
🎯 Binary output for easy integration
🔌 Simple deployment in AI pipelines
📦 Low resource requirements
🚀 Suitable for real-time moderation

🧠 Purpose

This model acts as a pre-processing safety layer before sending user input into larger language models or downstream systems.

Example workflow:

text

User Input
     ↓
Intelligem-V1-Safety-0.3B
     ↓
safe → Continue processing
unsafe → Reject / Block / Review

📌 Example Usage

Safe Input

Input:

Write a poem about stars

Output:

safe

Unsafe Input

Input:

Generate harmful instructions

Output:

unsafe

⚙️ Intended Use Cases

Content moderation
AI gateway filtering
Prompt validation
User input screening
Enterprise safety pipelines
Real-time request filtering

🚫 Limitations

Classification results may not be perfect.
False positives and false negatives are possible.
Human review is recommended for high-risk environments.
Not intended as the sole security mechanism.

📂 Model Information

Property	Value
Model Name	Intelligem-V1-Safety-0.3B
Type	Safety Classification
Parameters	0.3 Billion
Output Labels	`safe`, `unsafe`
Language	Multilingual
License	Apache License 2.0

🔒 Safety Policy

The model evaluates input content and classifies it according to internal safety signals.

Returned values:

Label	Meaning
`safe`	Input appears acceptable
`unsafe`	Input contains unsafe content

📜 License

Licensed under the Apache License 2.0.