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What is the difference between llama and Ollama?

Published in Technology 2 mins read

While both llama and Ollama sound similar, they are distinct entities with different roles in the world of large language models (LLMs).

Llama: The LLM

Llama is an open-source LLM developed by Meta AI. It's a powerful language model capable of various tasks, including:

  • Text generation: Creating coherent and creative text.
  • Translation: Converting text from one language to another.
  • Summarization: Condensing large amounts of text into concise summaries.
  • Question answering: Providing answers to questions based on given text.

Llama is a powerful tool for researchers and developers, offering a flexible and customizable platform for experimenting with LLMs.

Ollama: The Inference Engine

Ollama is an open-source inference engine for LLMs. It allows users to run LLMs locally on their own devices, without relying on cloud services. This means:

  • Privacy: Your data stays on your device, enhancing privacy.
  • Offline access: You can use LLMs even without an internet connection.
  • Customization: You can modify the LLM's behavior and functionality.

Ollama supports various LLMs, including Llama, making it a versatile platform for running different models.

In essence, Llama is the language model itself, while Ollama is the software that lets you run it locally.

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