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NVIDIA’s Llama 3.1 Nemotron Safety Guard 8B v3 moderates text interactions and reports unsafe categories.
This profile covers a particular content-safety model, rather than the entire Nemotron family or the NeMo Guardrails framework. A model supplies a judgment; an orchestration framework decides where and how checks run in an application.
NVIDIA’s card describes prompt and response moderation with safe/unsafe results and category labels. It lists 23 safety categories and nine supported languages for this v3 release.
Source: NVIDIA · Llama 3.1 Nemotron Safety Guard 8B v3 model cardThe card provides JSON output examples and describes support in NeMo Guardrails. It separately identifies terms for the trial service and model usage.
Source: NVIDIA · Llama 3.1 Nemotron Safety Guard 8B v3 model cardOur recommendation: validate the returned fields, preserve a distinct ‘check unavailable’ state and choose an explicit fallback. Treating a missing response as a safe label silently removes the check.
A multilingual support system moderates replies before sending them. Test not only classification quality, but also an unavailable endpoint, a missing category field and a retry. Ensure the same reply is not accidentally delivered twice.
The described text moderation does not establish image or video capability, despite inconsistent format metadata on the card. It also does not mean the complete agent has been secured by adding a NeMo integration.
How to read an AI safety evaluationThe sources behind this page, with a reason to open each one. Practical examples and recommendations are our editorial interpretation.
Documents this content moderator’s taxonomy, text examples, languages and integration with NeMo Guardrails.
Practical guidance on tool permissions, memory isolation, oversight and agent failure handling.
Sources reviewed 13 September 2026. Product documentation can change. How we use evidence