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Tech riderRev. 4 Oct 2026

Llama Guard

Ch 096.5of 23 AI Content Moderation Software
  1. 1Runs onself-hosted
  2. 2CostsFree plan
  3. 3Text moderationYes
  4. 4Image moderationYes
  5. 5Custom policiesYes
  6. 6Deployment optionsself hosted
6 lines stated Written from the maker's own pages: ai.meta.com, github.com
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The Llama Guard homepage

Overview

Llama Guard is ranked #9 of 23 in AI content moderation software on Specifiction. It runs on Self-hosted. There is a free plan.

Llama Guard plans and pricing

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

Compared on AI content moderation software

Text moderation
Yesai.meta.com
Image moderation
Yesai.meta.com
Custom policies
Yesai.meta.com
Deployment options
self_hostedai.meta.com

Facts

Purpose
Llama Guard classifies content in LLM inputs and responses as safe or unsafe.github.com · 4 Oct 2026
Model
Llama Guard 3-8B is a Llama 3.1 8B pretrained model fine-tuned for content safety classification.github.com · 4 Oct 2026
Hazard categories
Llama Guard 3-8B covers 14 categories, including the 13 MLCommons hazard categories and Code Interpreter Abuse.github.com · 4 Oct 2026
Languages
It supports content safety classification in English, French, German, Hindi, Italian, Portuguese, Spanish, and Thai.github.com · 4 Oct 2026
Tool use
It was optimized for safety and security classification of search and code interpreter tool calls.github.com · 4 Oct 2026
Customization
Llama Recipes documentation explains how to configure and customize Llama Guard 3.github.com · 4 Oct 2026
Quantization
An int8 quantized version reduces checkpoint size by about 40% with very small impact on model performance, according to the model card.github.com · 4 Oct 2026
Recommended use
Meta recommends deploying Llama Guard 3 alongside Llama 3.1, and says it may increase refusals of benign prompts.github.com · 4 Oct 2026
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.github.com · 4 Oct 2026
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.github.com · 4 Oct 2026
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.github.com · 4 Oct 2026
Weights access
The Cookbook demo lists access to Llama Guard model weights on Hugging Face as a requirement.github.com · 4 Oct 2026

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Sources