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SPECIFICTION
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Llama Guard

ai.meta.com

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Spec score 7.3 #22 of 27 in AI Content Moderation Software

Spec sheet

Purpose
Llama Guard classifies content in LLM inputs and responses as safe or unsafe.Read 4 Oct 2026 · github.com
Customization
Llama Recipes documentation explains how to configure and customize Llama Guard 3.Read 4 Oct 2026 · github.com
Evaluation caveat
The model card notes that some categories, including defamation, intellectual property, and elections, may require factual, up-to-date knowledge for accurate evaluation.Read 4 Oct 2026 · github.com
Hazard categories
Llama Guard 3-8B covers 14 categories, including the 13 MLCommons hazard categories and Code Interpreter Abuse.Read 4 Oct 2026 · github.com
Integration example
Meta’s Llama Cookbook demonstrates using Llama Guard as an inference safety checker for both user prompts and model outputs with Hugging Face Transformers.Read 4 Oct 2026 · github.com
Languages
It supports content safety classification in English, French, German, Hindi, Italian, Portuguese, Spanish, and Thai.Read 4 Oct 2026 · github.com
Limitations
The model card says performance can be limited by pretraining data and that the model may be vulnerable to adversarial or prompt injection attacks.Read 4 Oct 2026 · github.com
Model
Llama Guard 3-8B is a Llama 3.1 8B pretrained model fine-tuned for content safety classification.Read 4 Oct 2026 · github.com
Quantization
An int8 quantized version reduces checkpoint size by about 40% with very small impact on model performance, according to the model card.Read 4 Oct 2026 · github.com
Recommended use
Meta recommends deploying Llama Guard 3 alongside Llama 3.1, and says it may increase refusals of benign prompts.Read 4 Oct 2026 · github.com
Tool use
It was optimized for safety and security classification of search and code interpreter tool calls.Read 4 Oct 2026 · github.com
Weights access
The Cookbook demo lists access to Llama Guard model weights on Hugging Face as a requirement.Read 4 Oct 2026 · github.com

Plans and prices

Llama Guard 3-8B Free 8B parameters · model weights required Read 4 Oct 2026 · github.com

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