SKILL

safety-alignment-llamaguard

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.

Target: Learning & research. Automatically collected · unverified.

Excerpt from the author’s documentation

Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.

Read the original text

Topics in the source

  • LlamaGuard - AI Content Moderation
  • Quick start
  • Common workflows
  • Workflow 1: Input filtering (prompt moderation)
  • Workflow 2: Output filtering (response moderation)
  • Workflow 3: vLLM deployment (fast inference)
  • Workflow 4: API endpoint (FastAPI)
  • Workflow 5: NeMo Guardrails integration

LlamaGuard is a 7-8B parameter model specialized for content safety classification. Installation: Basic usage: Check user prompts before LLM: Safety categories: S1: Violence & Hate S2: Sexual Content S3: Guns & Illegal Weapons S4: Regulated Substances S5: Suicide & Self-Harm S6: Criminal Planning Check LLM responses before showing to user: Production-ready serving: Throughput: 50-100 requests/sec on single A100 Serve as moderation API: Usage: Use with NVIDIA Guardrails: Use LlamaGuard when: Need pre-trained moderation model Want high accuracy (94-95%) Have GPU resources (7-8B model) Need detailed safety categories Building production LLM apps Model versions: LlamaGuard 1 (7B): Original, 6 categories LlamaGuard 2 (8B): Improved, 6 categories LlamaGuard 3 (8B): Latest (2024), enhanced Use alternatives instead: OpenAI Moderation API: Simpler, API-based, free Perspective API: Google's toxicity detection NeMo Guardrails: More comprehensive safety framework Constitutional AI: Training-time safety Issue: Model access denied Login to HuggingFace: Accept license on model page: https://huggingface.co/meta-llama/LlamaGuard-7b Issue: High latency (>500ms) Use vLLM for 10× speedup: Enable tenso

This is an excerpt. Refer to the complete source and its current requirements.

Source repository
davila7/claude-code-templates
Source file
cli-tool/components/skills/ai-research/safety-alignment-llamaguard/SKILL.md
Fixed revision
21be197f100a12b8d0dd9a211cc244c8179f84d3
Read the complete original documentation ↗

Sources and evidence

This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.

Author: davila7/claude-code-templates · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T14:01:43.436Z.

Categories are inferred from names, descriptions and paths. They do not establish compatibility.

License and attribution

MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.

Original license ↗

Synchronization, copying and user-reported success do not mark a resource as runtime-tested.

Limitations and notes

  • Collecting metadata does not mean this site has installed, adapted, runtime-tested or security-reviewed the resource.