LLM ReferenceLLM Reference

Llama 3.1 NemoGuard 8B Topic Control

llama-3.1-nemoguard-8b-topic-control

Researched 137d ago

Last refreshed 2026-05-01. Next refresh: weekly.

Classification

Llama 3.1 NemoGuard 8B Topic Control is worth evaluating for classification when its provider route and context window match the workload.

Decision context: Classification task fit, 1 tracked provider route, and research from 2026-01-01.

Use it for

  • Teams evaluating classification
  • Workloads that can use a 4K context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows

Cheapest output

-

NVIDIA NIM per 1M tokens

Provider routes

1

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-01-01

Researched 137d ago

stale

Top use-case fit

Classification

Included by capability and metadata signals in the decision map.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
NVIDIA NIM--
ServerlessPartial

Benchmark peer barsfor Classification

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

NVIDIA NemoGuard topic control model based on Llama 3.1 8B for content steering.

Llama 3.1 NemoGuard 8B Topic Control has a 4K-token context window.

Capabilities

No model capability flags are currently sourced.

Rankings

Specifications

FamilyNemoGuard
Released2025-01-01
Parameters8B
Context4K
ArchitectureDecoder Only
Specializationsafety
Trainingpretrained

Created by

Accelerated AI for enterprise solutions

Santa Clara, California, United States
Founded 2015
Website

Providers(1)