Llama Guard 3 8B AWQ is a quantized version of a safety model hosted on Hugging Face. It checks conversations for unsafe content according to a defined policy covering 14 specific categories.
The model evaluates user and agent messages against categories that include violent crimes, non-violent crimes, sex crimes, child exploitation, defamation, specialized advice, privacy, intellectual property, indiscriminate weapons, hate, self-harm, sexual content, elections, and code interpreter abuse. A provided chat template structures the input by labeling roles as User or Agent and framing the task as identifying whether unsafe content appears in the conversation.
It is delivered as a model repository on the Hugging Face platform under the identifier Weni/Llama-Guard-3-8B-AWQ. The repository includes a chat template that enforces alternating user and assistant roles and raises an exception if the conversation structure is invalid.
The page presents the model within the context of open source and open science efforts to advance artificial intelligence.
Llama Guard 3 8B sits in PulseGate's Foundation models & chat category. It focuses on detecting unsafe content across multiple safety categories in user conversations. Llama Guard 3 8B is an open-source project aimed at AI developers. Llama Guard 3 8B is open source under the Open Source license. Llama Guard 3 8B is available on the web and API.
It is developed by Weni. Among its 3 catalogued features are Content Safety, moderation, and Quantized Inference.
Summary written by a language model from the project’s public pages.
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