Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, Huggi…
---
name: llamaguard
description: Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Integrates with NeMo Guardrails.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Safety Alignment, LlamaGuard, Content Moderation, Meta, Guardrails, Safety Classification, Input Filtering, Output Filtering, AI Safety]
dependencies: [transformers, torch, vllm]
---
# LlamaGuard - AI Content Moderation
## Quick start
LlamaGuard is a 7-8B parameter model specialized for content safety classification.
**Installation**:
```bash
pip install transformers torch
# Login to HuggingFace (required)
huggingface-cli login
```
**Basic usage**:
```python… load the full skill through Skill Me