VincentGOURBIN/Llama-Guard-3-8B

Overview

VincentGOURBIN/Llama-Guard-3-8B is an 8 billion parameter model, converted to the MLX format from the original meta-llama/Llama-Guard-3-8B using mlx-lm version 0.19.1. This model is not a general-purpose conversational AI but rather a specialized safety classifier.

Key Capabilities

• Content Moderation: Designed to act as a guardrail for other large language models, classifying user prompts and model responses for safety violations.
• Harmful Content Detection: Identifies and flags content that falls into predefined categories of harm, helping to prevent the generation or propagation of unsafe material.
• MLX Compatibility: Optimized for use within the Apple MLX framework, enabling efficient inference on Apple silicon.

Good For

• Implementing Safety Layers: Ideal for developers looking to integrate a robust content moderation system into their LLM applications.
• Filtering Prompts and Responses: Useful for pre-screening user inputs and post-screening model outputs to ensure adherence to safety guidelines.
• Ethical AI Deployment: Supports the responsible deployment of AI by providing a dedicated mechanism for identifying and mitigating risks associated with harmful content.