llama-guard-3-8b
Llama Guard 3 is a Llama-3.1-8B pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM inputs (prompt classification)...
Modalities
Quick stats
Performance
Supported parameters
| Parameter | Always | Default |
|---|---|---|
| frequency_penalty | - | |
| logit_bias | - | |
| max_tokens | - | |
| min_p | - | |
| presence_penalty | - | |
| repetition_penalty | - | |
| seed | - | |
| stop | - | |
| temperature | - | |
| top_k | - | |
| top_p | - |
Pricing
| Input price | $0.00 · 1M tokens |
| Output price | $0.00 · 1M tokens |
| Context window | 8.2K tokens |
| Compatible endpoints | openai |
| Vendor | Meta |
Call llama-guard-3-8b from your code
Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.
curl https://api.unorouter.ai/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "llama-guard-3-8b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Frequently asked questions
How much does llama-guard-3-8b cost per 1M tokens?
Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.
How do I access llama-guard-3-8b via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=llama-guard-3-8b. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of llama-guard-3-8b?
llama-guard-3-8b supports a context window of 8.2K tokens, shared between your prompt and the model's response.
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Try llama-guard-3-8b now
Create an API key and start making requests in under a minute.