Using Llama Guard 3 1B on Fireworks AI

Implementation guide · Llama Guard · AI at Meta

ServerlessOpen Weights

Fireworks AI exposes Llama Guard 3 1B through model ID accounts/fireworks/models/llama-guard-3-1b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-09. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Fireworks AI and generate an API key.
  2. 2
    Use the Fireworks AI SDK or REST API to call accounts/fireworks/models/llama-guard-3-1b — see the documentation for request format.
  3. 3
    You'll be billed $0.10/1M input, $0.10/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
accounts/fireworks/models/llama-guard-3-1b

Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="accounts/fireworks/models/llama-guard-3-1b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Fireworks AI

TypePrice (per 1M)
Input tokens$0.10
Output tokens$0.10

Capabilities

No model capability flags are currently sourced.

About Llama Guard 3 1B

Llama Guard 3 1B is Meta's Llama Guard model. Weights are openly available for self-hosting.

Model Specs

Released2024-09-25
Parameters1B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-12

Provider

Fireworks AI

San Mateo, California, United States