Using CodeLlama 7B Instruct on Fireworks AI
Implementation guide · Code Llama · AI at Meta
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
codellama-7b-instruct— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYcodellama-7b-instructFireworks 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="codellama-7b-instruct",
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 | $0.20 |
| Output tokens | $0.20 |
Capabilities
No model capability flags are currently sourced.
About CodeLlama 7B Instruct
CodeLlama 7B Instruct is a specialized variant of Meta's CodeLlama family, designed for code synthesis and understanding tasks. With 7 billion parameters, it excels in code completion, infilling, and following instructions, particularly in Python programming. The model has been fine-tuned to generate code based on user prompts, ensuring safer and more reliable outputs. It's part of a broader collection ranging from 7B to 34B parameters, trained on a diverse dataset for handling various coding tasks effectively. AI engineers can leverage this model to integrate advanced code generation capabilities into their applications, enhancing productivity in software development. For more details, visit the model's page on Hugging Face .