Individual skill

llamaguard

Classifies LLM prompts and responses as safe or unsafe using Meta's LlamaGuard (7B v1, 8B v2 and v3) across six categories: violence and hate, sexual content, guns and illegal weapons, regulated substances, suicide and self-harm, and criminal planning. Covers HuggingFace Transformers and vLLM inference, a FastAPI moderation endpoint, Sagemaker deployment, and NeMo Guardrails integration. Use when filtering user prompts before an LLM call, moderating model outputs before display, serving a self-hosted moderation API, or reducing latency and GPU memory of a moderation model with vLLM or quantization. Use when tuning thresholds to cut false positives. For a simpler hosted option, use the OpenAI Moderation API instead.

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Nov 6, 2026
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Apache-2.0

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# 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**: