Using CodeLlama 34B Python on Fireworks AI
Implementation guide · Code Llama · AI at Meta
Fireworks AI exposes CodeLlama 34B Python through model ID accounts/fireworks/models/code-llama-34b-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-34b-python— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYaccounts/fireworks/models/code-llama-34b-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-34b-python",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.90 |
| Output tokens | $0.90 |
Capabilities
About CodeLlama 34B Python
CodeLlama 34B Python is a specialized code generation model released by Meta on August 24, 2023. With 34 billion parameters, it excels in Python-specific tasks like code completion, infilling, and instruction following. This model offers AI engineers a powerful tool for enhancing coding workflows and productivity. Its architecture is optimized for understanding and generating complex code structures, making it particularly useful for software development tasks. The model is available in the Hugging Face Transformers format, facilitating easy integration into existing projects .