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Llama 3.1 NemoGuard 8B Topic Control: free via FreeLLMAPI

Llama 3.1 NemoGuard 8B Topic Control: served free by 1 provider, up to 131K context. Provider limits, quotas and setup examples on FreeLLMAPI.

NVIDIA NIM

nvidia/llama-3.1-nemoguard-8b-topic-control
Context window131K tokens
Free budgetfree · 40 RPM tokens/mo
Requests / min40 RPM
Recurring free, 40 RPM, eval-only ToS info
NVIDIA NIM replaced its depleting trial credits with a recurring per-account rate limit (40 RPM default, varies by model), verified June 2026. The trial ToS still scopes usage to evaluation/prototyping, not production.

Get this model the moment it changes

Limits move, models get replaced, better ones launch. Premium routers see this page's data live. Free routers see last month's.

فعّل البث الحيّ · $19/yr →

Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free NVIDIA NIM key, and nvidia/llama-3.1-nemoguard-8b-topic-control answers on an OpenAI-compatible endpoint at http://localhost:3001/v1. No credit card, no hosted middleman: your prompts and your provider keys never leave your machine.

Install the router (macOS, Linux, WSL)
curl -fsSL https://freellmapi.co/install.sh | bash
Install the router (Windows PowerShell)
iwr -useb https://freellmapi.co/install.ps1 | iex
Call nvidia/llama-3.1-nemoguard-8b-topic-control with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/llama-3.1-nemoguard-8b-topic-control",
    "messages": [{"role": "user", "content": "Say hi in five words."}]
  }'
The same request in Python (openai)
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:3001/v1",
    api_key="freellmapi-your-unified-key",
)

resp = client.chat.completions.create(
    model="nvidia/llama-3.1-nemoguard-8b-topic-control",
    messages=[{"role": "user", "content": "Say hi in five words."}],
)
print(resp.choices[0].message.content)

The router answers on /v1/chat/completions and every other OpenAI surface, plus the Anthropic Messages API, so existing clients need only a new base_url. Swap the model id for auto and the router picks the best free model that is still under its limits. Full reference: docs/api.md.