Llama 3.1 NemoGuard 8B ContentSafety NIM
About the Microservice
The microservice serves a GPU-accelerated LLM model that performs content moderation for building trustworthy LLM applications. The LLM model detects harmful content in user messages or bot responses.
The model is a content safety model trained by NVIDIA from a Llama 3.1 8B Instruct base model. The model is trained using the Nemotron Content Safety Dataset V2–a carefully curated collection of 30 thousand dialog samples in the content harm taxonomy. The dataset is formerly known as the Aegis AI Content Safety Dataset 2.0. The dataset has a commercially friendly license and is publicly available to permit community analysis and development.
License
Related Information
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Aegis2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails, arXiv:2501.09004.
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Aegis 2.0 Content Safety Dataset on Hugging Face Hub.
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The microservice is based on NVIDIA NIM for LLMs.