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Llamaguard 7b

Developed by llamas-community
A 7-billion-parameter Llama 2-based security protection model for classifying the safety of LLM input and output content
Downloads 151
Release Time : 12/7/2023

Model Overview

Llama-Guard is a security protection model based on Llama 2, designed to evaluate the safety of content in LLM inputs (prompt classification) and LLM responses (response classification). It generates text to determine content safety and lists specific violation subcategories when policies are breached.

Model Features

Dual Content Moderation
Simultaneously evaluates the safety of both LLM inputs (prompts) and outputs (responses)
Fine-grained Classification
Not only determines safe/unsafe but also identifies specific violation subcategories (e.g., violence, sexual content, etc.)
Probability Output
Provides probability scores instead of simple binary judgments, allowing users to customize safety thresholds

Model Capabilities

Content Safety Evaluation
Violation Content Detection
Multi-category Risk Identification

Use Cases

LLM Security Protection
Prompt Review
Conducts safety screening of user inputs before LLM processing
Effectively identifies potentially harmful prompts
Response Content Review
Evaluates the safety of LLM-generated content before returning it to users
Prevents the output of harmful content
Content Moderation Systems
Community Content Moderation
Integrated into social media platforms' content moderation processes
Automatically identifies and filters violating content
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