Last refreshed 2026-05-01. Next refresh: weekly.
Why use Llama 3.1 NemoGuard 8B Topic Control on NVIDIA NIM?
NVIDIA NIM offers Llama 3.1 NemoGuard 8B Topic Control with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Input / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Docs fallbackInstall
Use the provider REST API or SDKAuth
Create a provider API keyCall
model: nvidia/llama-3.1-nemoguard-8b-topic-controlModel ID
nvidia/llama-3.1-nemoguard-8b-topic-controlRequest example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
nvidia/llama-3.1-nemoguard-8b-topic-control.Gotchas
- Use provider model ID "nvidia/llama-3.1-nemoguard-8b-topic-control", not the LLMReference slug "llama-3.1-nemoguard-8b-topic-control".
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
Capabilities
No model capability flags are currently sourced.
About Llama 3.1 NemoGuard 8B Topic Control
NVIDIA NemoGuard topic control model based on Llama 3.1 8B for content steering.
FAQ
What is the context window for Llama 3.1 NemoGuard 8B Topic Control on NVIDIA NIM?
Llama 3.1 NemoGuard 8B Topic Control supports a 4,000 token context window on NVIDIA NIM.
What API model ID do I use for Llama 3.1 NemoGuard 8B Topic Control on NVIDIA NIM?
Use the model ID nvidia/llama-3.1-nemoguard-8b-topic-control when calling NVIDIA NIM's API.
Who created Llama 3.1 NemoGuard 8B Topic Control?
Llama 3.1 NemoGuard 8B Topic Control was created by NVIDIA AI as part of the NemoGuard model family.
Is Llama 3.1 NemoGuard 8B Topic Control open source?
Llama 3.1 NemoGuard 8B Topic Control is open source according to the seed data.
Model Specs
Released2025-01-01
Parameters8B
Context4K
ArchitectureDecoder Only