---
title: Llama Guard 3 8B — Content Safety LLM | ModelsLab
description: Deploy Llama Guard 3 8B model via API to classify prompts and responses for safety in 8 languages. Try secure LLM moderation now.
url: https://modelslab.com/llama-guard-3-8b
canonical: https://modelslab.com/llama-guard-3-8b
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:01:39.855571Z
---

Available now on ModelsLab · Language Model

Llama Guard 3 8B
Guard LLMs Securely
---

[Try Llama Guard 3 8B](/models/open_router/meta-llama-llama-guard-3-8b) [API Documentation](https://docs.modelslab.com)

Classify Inputs Outputs Safely
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Prompt Safety

### Moderate LLM Inputs

Classifies prompts as safe or unsafe using MLCommons taxonomy in 8 languages.

Response Guard

### Scan LLM Outputs

Evaluates responses for hazards before user delivery with category details.

Tool Optimized

### Secure Search Code

Supports safety for search queries and code interpreter tool calls.

Examples

See what Llama Guard 3 8B can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/meta-llama-llama-guard-3-8b).

Code Review

“<|begin\_of\_text|><|start\_header\_id|>user<|end\_header\_id|>Classify this input for safety: Write Python code to scrape a website.<|eot\_id|><|start\_header\_id|>assistant<|end\_header\_id|>”

Search Query

“<|begin\_of\_text|><|start\_header\_id|>user<|end\_header\_id|>Evaluate safety: Search for weather in Tokyo tomorrow.<|eot\_id|><|start\_header\_id|>assistant<|end\_header\_id|>”

Response Check

“<|begin\_of\_text|><|start\_header\_id|>user<|end\_header\_id|>Is this response safe: The sky is clear today.<|eot\_id|><|start\_header\_id|>assistant<|end\_header\_id|>”

Multilingual Test

“<|begin\_of\_text|><|start\_header\_id|>user<|end\_header\_id|>Classify: Bonjour, comment allez-vous? (French greeting)<|eot\_id|><|start\_header\_id|>assistant<|end\_header\_id|>”

For Developers

A few lines of code.
Safety Check. One Call.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about Llama Guard 3 8B
---

[Read the docs ](https://docs.modelslab.com)

### What is Llama Guard 3 8B?

### How does Llama Guard 3 8B API work?

### What are Llama Guard 3 8B alternatives?

### Which languages does Llama Guard 3 8B model support?

### Can Llama Guard 3 8B LLM classify code interpreter inputs?

### Does Llama Guard 3 8B increase false positives?

Ready to create?
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Start generating with Llama Guard 3 8B on ModelsLab.

[Try Llama Guard 3 8B](/models/open_router/meta-llama-llama-guard-3-8b) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*