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Chatting with Llama 3

A data analytics company is developing an internal AI assistant to help employees quickly access technical information. As part of this project, they want to integrate Llama 3, and have asked you to test it.

To get started, you initialize the Llama 3 model locally and generate a response to a question.

The model path is already stored as a variable named llama_path.

Bu egzersiz

Working with Llama 3

kursunun bir parçasıdır
Kursu Görüntüle

Egzersiz talimatları

  • Import the Llama class from llama_cpp.
  • Initialize an instance of Llama, specifying llama_path as the path to the model file.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# Import the Llama class
from llama_cpp import ____

# Initialize the Llama model
llm = ____(model_path=____)

question = "What is the most used database for data storage?"
response = llm(question)
print(response)
Kodu Düzenle ve Çalıştır