Meta: LlamaGuard 2 8B
This safeguard model has 8B parameters and is based on the Llama 3 family. Just like is predecessor, [LlamaGuard 1](https://huggingface.co/meta-llama/LlamaGuard-7b), 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](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).
Context Window
8K
Input Price
$0.2000/M tokens
Output Price
$0.2000/M tokens
Modality
text->text
Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.002200
~6K
Words Equivalent
~4
Pages of Text
~82
Code Functions
Related Categories:
Ready to Test Meta: LlamaGuard 2 8B?
Use our free AI Models Tester to compare Meta: LlamaGuard 2 8B with other models side-by-side using your own prompts. See real results instantly.