Using CodeLlama 13B Python on Together AI
Implementation guide · Code Llama · AI at Meta
Quick Start
- 1
- 2Use the Together AI SDK or REST API to call
codellama-13b-python— see the documentation for request format. - 3
Code Examples
pip install togetherTOGETHER_API_KEYcodellama-13b-pythonTogether uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="codellama-13b-python",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)About Together AI
Platform for running open-source and proprietary LLMs
Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.
Pricing on Together AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.30 |
| Output tokens | $0.30 |
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 .