Quick Start
- 1
- 2
- 3
Code Examples
pip install openaiDEEPINFRA_API_KEYcodellama-70bDeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],
base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
model="codellama-70b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)About DeepInfra
DeepInfra offers serverless AI inference with a simple API, supporting hundreds of models across text generation, embeddings, and more. Pay-per-token pricing with no upfront commitments.
DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models. It provides serverless inference for leading models from Meta, Mistral, Alibaba, and others with competitive token-based pricing.
Pricing on DeepInfra
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.45 |
| Output tokens | $0.65 |
Capabilities
About CodeLlama 70B
CodeLlama 70B is a state-of-the-art generative text model by Meta, specifically designed for code synthesis and understanding. It utilizes an auto-regressive transformer architecture and has been fine-tuned with up to 16,000 tokens, supporting inference with up to 100,000 tokens. The model excels in code completion, infilling, and instruction following, making it versatile for various programming languages and applications. With 70 billion parameters, it offers advanced capabilities for general code generation tasks, while also providing specialized variants for Python and instruction-following. Intended for both commercial and research use, CodeLlama 70B aims to assist developers in generating code, understanding programming concepts, and enhancing productivity in software development .