LlamaGuard 2 8B

meta-llama/llama-guard-2-8b

This safeguard model has 8B parameters and is based on the Llama 3 family. Just like is predecessor, LlamaGuard 1, it can do both prompt and response classification.

LlamaGuard 2 acts as a normal LLM would, generating text that indicates whether the given input/output is safe/unsafe. If deemed unsafe, it will also share the content categories violated.

For best results, please use raw prompt input or the /completions endpoint, instead of the chat API.

It has demonstrated strong performance compared to leading closed-source models in human evaluations.

To read more about the model release, click here. Usage of this model is subject to Meta's Acceptable Use Policy.

Community

Open Source

Context Window

8,192

Language

Python JavaScript Curl

Using LlamaGuard 2 8B with Python API

Using LlamaGuard 2 8B with OpenAI compatible API

import openai

client = openai.Client(
  api_key= '{your_api_key}',
  base_url="https://api.model.box/v1",
)
response = client.chat.completions.create(
model="meta-llama/llama-guard-2-8b",
messages: [
  {
    role: 'user',
    content:
      'introduce your self',
    },
  ]
)
print(response)