Using CodeLlama 13B Python on Fireworks AI
Implementation guide · Code Llama · AI at Meta
Fireworks AI exposes CodeLlama 13B Python through model ID accounts/fireworks/models/code-llama-13b-python. 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
- 2Use the Fireworks AI SDK or REST API to call
accounts/fireworks/models/code-llama-13b-python— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYaccounts/fireworks/models/code-llama-13b-pythonFireworks 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/code-llama-13b-python",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
About CodeLlama 13B Python
CodeLlama 13B Python is a specialized variant of the CodeLlama family, featuring 13 billion parameters and optimized for Python programming tasks. This model excels at code synthesis, completion, and infilling, while also supporting instruction following and chat-based interactions. Leveraging advanced transformer architecture and trained on a diverse dataset, it offers robust understanding of programming concepts and syntax. Designed for AI engineers and developers, it serves as a powerful tool for integrating AI into coding workflows, making it particularly valuable for Python-related applications .