Quick Start
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Code Examples
pip install openaiFIREWORKS_API_KEYqwen2-72bFireworks 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="qwen2-72b",
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
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.90 |
| Output tokens | $0.90 |
Capabilities
About Qwen2-72B
Qwen2-72B is a cutting-edge large language model developed by Alibaba's Qwen team, featuring an impressive 72 billion parameters based on the Transformer architecture 12. It employs advanced enhancements such as SwiGLU activation, attention QKV bias, and group query attention to advance efficiency and precision 16. The model demonstrates strong performance across diverse benchmarks, excelling in language understanding, generation, coding, mathematics, and multilingual tasks, often surpassing other open-source models and challenging proprietary alternatives 34. With support for processing up to 128,000 tokens in context and proficiency in around 30 languages, it offers extensive input capabilities 15. However, the base model is not optimal for direct text generation; post-training techniques are advisable for specific applications 16.