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Meta (Llama)text->text

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

Pricing Breakdown
Cost per million tokens for input and output
Input$0.2000/M tokens
Output$0.2000/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.002200

Context Window Size
Maximum tokens the model can process in a single request
Context Window8K tokens
1% of 1M max

~6K

Words Equivalent

~4

Pages of Text

~82

Code Functions

Best Use Cases
What this model excels at
WritingContent-creationChatConversationAssistant

Related Categories:

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