Tasks and inputs
Llama-Guard-3-8B is listed for Content Moderation. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 13, 2026
Llama-Guard-3-8B from Meta: Llama 3.1-based safety classifier for moderating prompts and model responses.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Llama 3.1-based safety classifier for moderating prompts and model responses. The registry places it in the llama family with a release date of 2024-07-23. This profile describes its documented interface and how to evaluate it for the intended task.
The recorded inputs are text, with text output. The registry lists a 128,000-token context window and up to 4,096 output tokens. Additional capability flags are not established by this record. These are specifications, not a measured quality or speed ranking. A host can impose its own request limits and support a different subset of features.
The registry marks Llama-Guard-3-8B as an open-weight model. Check the linked checkpoint’s licence and runtime requirements before downloading or deploying it. Open weights describe availability, while licence terms determine permitted use. Local inference still requires hardware; a hosted route can charge separately.
No independently checked token rate is added from a hosting alias. Use the route’s current price and billing unit when comparing cost, including output, reasoning, cache behavior and retries where applicable.
Test harmful and harmless examples in the languages and formats your product receives. Inspect false positives as well as missed violations, retain the policy version, and decide what happens when the model is uncertain. A moderation label is an input to your policy workflow.
This is a registry-sourced profile. A model-specific publisher document has not yet been confirmed; access and specifications should be checked before an integration decision. SyncDev has not independently benchmarked Llama-Guard-3-8B.
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Llama-Guard-3-8B is listed for Content Moderation. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 128K context and 4.1K maximum output. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
The weights are downloadable under the publisher’s model licence. Check runtime support and size the complete model and working context for your expected concurrency.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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