Llama Guard
Overview
LLM-based safeguard model ensuring safe human-AI conversations.
Best For Professions:
Llama Guard is a Large Language Model (LLM)-based safeguard developed to ensure safe and appropriate human-AI interactions. It functions by classifying both user inputs and AI-generated outputs to identify and mitigate potential safety risks, such as prompt injections or inappropriate content. The model is instruction-tuned to handle various safety categories and can be customized to align with specific use cases. Llama Guard supports multi-class classification and generates binary decision scores to effectively moderate AI conversations.
Product overview
Capabilities, pricing and fit
Llama Guard is best understood as an input-output safety model rather than a standalone agent. We introduce Llama Guard, an LLM-based input-output safeguard model geared towards Human-AI conversation use cases. Our model incorporates a safety risk.
Information as of July 30, 2026
What it can do
- Agent application development
We introduce Llama Guard, an LLM-based input-output safeguard model geared towards Human-AI conversation use cases. Our model incorporates a safety risk.[1]
Where it fits best
- Ensuring safe and appropriate interactions in human-AI conversations.[1]
Sources (1)
- Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations | Research - AI at MetaOfficial site · checked 2026-07-30
Autonomy level
81/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of Llama Guard:
- Ensuring safe and appropriate interactions in human-AI conversations.
- Mitigating prompt injection vulnerabilities in AI systems.
- Classifying and moderating content in AI-generated responses.
- Customizing safety protocols for specific AI use cases.
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Pricing model:
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Popularity level: 77%
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