Using Llama 2 7B Chat on DeepInfra

Quick Start

1. 1
   Create an account at DeepInfra and generate an API key.
2. 2
   Use the DeepInfra SDK or REST API to call llama2-7b-chat — see the documentation for request format.
3. 3
   You'll be billed $0.07/1M input, $0.07/1M output tokens. See full pricing.

Code Examples

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="llama2-7b-chat",
    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

Capabilities

About Llama 2 7B Chat

The Llama 2 7B Chat model is a fine-tuned variant of Meta's Llama 2 series, optimized for conversational AI applications. Built on an auto-regressive transformer architecture, it boasts 7 billion parameters and has been trained on a diverse dataset of 2 trillion tokens. The model underwent supervised fine-tuning and reinforcement learning with human feedback to enhance its performance in dialogue scenarios. It demonstrates competitive capabilities in terms of helpfulness and safety compared to both open-source and closed-source alternatives like ChatGPT and PaLM. Designed for commercial and research use, particularly in English language tasks, it's well-suited for developing chatbots, virtual assistants, and other interactive AI systems. More details can be found on its Hugging Face page .