LlamaGuard-7b

Maintainer: meta-llama

Total Score

165

Last updated 4/28/2024

👀

PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

LlamaGuard-7b is a 7 billion parameter Llama 2-based input-output safeguard model developed by meta-llama. It can be used to classify the safety of both input prompts and generated model responses. The model provides a classification score indicating whether the input is safe or unsafe, and if unsafe, it lists the violating subcategories based on the model's policy.

Model inputs and outputs

Inputs

  • Text prompts to be evaluated for safety

Outputs

  • Classification score indicating if the input prompt is safe or unsafe
  • If unsafe, a list of the violating subcategories based on the model's policy

Capabilities

LlamaGuard-7b can be used to detect potentially unsafe or harmful content in text inputs and model outputs. This allows developers to build more robust and responsible AI systems that adhere to specified safety guidelines. The model can be fine-tuned on domain-specific datasets to adapt to the needs of various applications.

What can I use it for?

You can use LlamaGuard-7b to implement content moderation and safety checks in your AI-powered applications and services. This could include chatbots, content generation tools, or other text-based interfaces. By integrating the model, you can ensure your system's outputs align with your organization's safety policies and guidelines.

Things to try

Try evaluating LlamaGuard-7b on a variety of prompts, including those that you suspect may contain sensitive or harmful content. Observe the classification scores and subcategory outputs to understand how the model makes its assessments. You can also experiment with fine-tuning the model on your own dataset to customize its safety criteria for your specific use case.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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