Meta Llama: LlamaGuard 2 8B
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Llama Guard 2 8B is Meta's 8 billion parameter safety classifier built on Llama 3, designed to moderate both user prompts and AI responses. It classifies content across 11 hazard categories based on the MLCommons taxonomy.
Context Window N/A
tokens
Max Output N/A
tokens
Input Cost $0.2
per million tokens
Output Cost $0.2
per million tokens
Release Date Apr 18, 2024
Code Example
Add AI to your app with the Puter.js AI API — no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
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Frequently Asked Questions
You can access LlamaGuard 2 8B by Meta Llama through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add LlamaGuard 2 8B to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.2 |
| Output | $0.2 |
LlamaGuard 2 8B was created by Meta Llama and released on Apr 18, 2024.
Yes — the LlamaGuard 2 8B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
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