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Nemotron 3.5 Content Safety (free)
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Nemotron 3.5 Content Safety (free)

nemotron-3.5-content-safety-free
Nvidia
NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model fine-tuned from Google Gemma-3-4B. Featuring a 128,000 token context length, it is designed to moderate both inputs to and responses from LLMs and VLMs. This model provides an efficient safety layer to filter content and secure interactions across multiple modalities.

Pricing

  • Input Tokens: $0 /M tokens
  • Output Tokens: $0 /M tokens
  • Cache Read: $0 /M tokens

Input Modalities

  • Text
  • Vision

Output Modalities

  • Text

Context length

  • 131K tokens

Capabilities

  • Thinking
  • Streaming
  • Tool calling
  • Web search
  • URL context
  • Code interpreter
  • Computer use
  • File search
  • Memory tool
  • Structured outputs
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://shkq.org/v1",
)

response = client.chat.completions.create(
    model="nemotron-3.5-content-safety-free",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Nemotron 3.5 Content Safety (free)?

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model fine-tuned from Google Gemma-3-4B. Featuring a 128,000 token context length, it is designed to moderate both inputs to and responses from LLMs and VLMs. This model provides an efficient safety layer to filter content and secure interactions across multiple modalities.

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