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Fireworks AI

Using Gemma 7B Instruct on Fireworks AI

Implementation guide · Gemma · Google DeepMind

ProvisionedOpen Source

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 gemma-7b-it — see the documentation for request format.
  3. 3
    You'll be billed $0.20/1M input, $0.20/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
gemma-7b-it

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="gemma-7b-it",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

About Fireworks AI

The Fireworks AI Platform is a comprehensive generative AI solution that enables developers and businesses to build, customize, and deploy AI models at scale. It supports a diverse range of cutting-edge open-source models, including Meta's Llama and Stable Diffusion, for tasks such as natural language processing and image generation. The platform's serverless architecture allows for quick deployment without extensive infrastructure management, operating on a pay-as-you-go basis. Users can fine-tune models using parameter-efficient techniques, ensuring tailored AI solutions that maintain high performance for specific business needs. Optimized for high throughput and low latency, the platform can handle trillions of inferences daily while providing a seamless user experience. It offers tools for efficient model maintenance and iteration, allowing businesses to focus on innovation rather than complex AI model management. The platform's design facilitates easy integration and customization, enabling organizations to effectively scale their AI-powered solutions. With its cost-efficient approach and comprehensive features, the Fireworks AI Platform empowers businesses to leverage advanced AI capabilities for enhanced productivity and competitive advantage in their respective markets.

Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment. Their platform is designed to optimize the development and serving of generative AI applications, enabling businesses to quickly build and scale AI-powered solutions. Fireworks.ai emphasizes minimizing the cost to serve while maximizing the potential of generative AI technologies, making advanced AI capabilities more accessible and practical for a wide range of applications.

Pricing on Fireworks AI

TypePrice (per 1M)
Input tokens$0.20
Output tokens$0.20

Capabilities

Structured Outputs

About Gemma 7B Instruct

Gemma 7B Instruct is a cutting-edge large language model developed by Google DeepMind, boasting 7 billion parameters. As part of the Gemma family, it benefits from the advanced research underpinning Google's Gemini models. This model is optimized for text generation tasks, excelling in areas like question answering and summarization, and it is finely tuned to follow instructions effectively. Despite its compact size, Gemma 7B Instruct performs impressively on benchmarks, making it versatile for deployment across various hardware platforms, from laptops to cloud infrastructure. Moreover, it is open-source, with accessible weights and incorporates responsible AI practices, such as data filtering and human feedback, to ensure safe and ethical use.

Model Specs

Released2024-02-21
Parameters7B
Context8K
ArchitectureDecoder Only
Knowledge cutoff2023-04

Provider

Fireworks AI
Fireworks AI

San Mateo, California, United States