How to Run Llama 3 Locally on your Computer (Ollama, LM Studio)

Mervin Praison
21 Apr 202404:33

TLDRThe video provides a step-by-step guide on how to run Llama 3, a powerful AI model, locally on your computer using three different platforms: Olllama, LM Studio, and Jan AI. By running Llama 3 locally, users can maintain data privacy while leveraging AI capabilities. The video demonstrates the process of downloading and using the model through each platform, showcasing its speed and efficiency. It also covers how to install and use the model via APIs, offering a few lines of code for integration. The presenter expresses excitement about the technology and plans to create more videos on the subject.

Takeaways

  • 📘 **Local AI Processing**: The video demonstrates how to run Llama 3 locally, which allows users to keep their data private and leverage AI capabilities.
  • 💻 **Multiple Platforms**: Olllama is available for Mac, Linux, and Windows, catering to a wide range of users.
  • 🔽 **Downloading Models**: The script explains how to download the Llama 3 model, an 8 billion parameter model, onto your computer.
  • 🚀 **Speed and Efficiency**: The video highlights the impressive speed at which Llama 3 operates, even on a Mac M2.
  • 🌐 **LM Studio Integration**: It is shown how to install and use Llama 3 through LM Studio, which offers a user interface for model selection and interaction.
  • 🔍 **Model Selection**: LM Studio allows users to choose between different versions of Llama models, with Llama 38 billion parameters featured prominently.
  • 🍲 **Practical Applications**: The video provides a real-world example of using Llama 3 to generate a meal plan, showcasing its utility.
  • 🔗 **Jan AI Integration**: The process of installing and using Llama 3 with Jan AI is detailed, including searching for the model and initiating a chat for queries.
  • 🛠️ **API Usage**: The script covers how to use the Olllama API to load Llama 3 in a terminal, requiring just a few lines of code.
  • 🔵 **Sky Query Example**: A specific example is given where the code is used to answer the question, "Why is the sky blue?"
  • 📈 **Server Endpoints**: Information on how to start a local server for LM Studio and use it for API integration is provided, including the necessary code snippets.

Q & A

  • What is the main advantage of running Llama 3 locally on your computer?

    -Running Llama 3 locally allows you to keep your data private and harness the power of AI without sharing your information with external servers.

  • How can you download and run Llama 3 using Ollama?

    -You can download Ollama from ama.com and choose the version for your operating system (Mac, Linux, or Windows). After installation, you run Llama 3 from your terminal, which will automatically download the Llama 3 8 billion parameter model.

  • What is the process to install and use Llama 3 through LM Studio?

    -Visit LM Studio's website to download the appropriate version for your OS. After installation, search for Llama 3 in the interface, download the model, and use the AI chat icon to interact with the model.

  • How do you install and use Llama 3 with Jan AI?

    -Download and install the Mac version of Jan AI. Search for Llama 3 within the app, install the model, and then use the chat section to interact with it.

  • What is the benefit of using the Ollama API?

    -The Ollama API allows you to load the Llama 3 model directly in your terminal, enabling you to interact with the model and get responses to your queries using just a few lines of code.

  • How can you run Llama 3 using the Ollama API?

    -Install Ollama using pip, write a script to import Ollama and load the Llama 3 model, ask a question, and print the response.

  • What is the purpose of the local server icon in LM Studio?

    -The local server icon in LM Studio is used to start a local server that can be used to run the Llama 3 model, making it accessible for integration with other applications or services.

  • How can you integrate Llama 3 with your API using Jan AI?

    -You can use the Local Host 1337 endpoint provided by Jan AI to integrate Llama 3 with your API, allowing for seamless interaction between your applications and the AI model.

  • What is the significance of downloading the Llama 3 model?

    -Downloading the Llama 3 model allows you to use the AI locally without needing an internet connection, ensuring privacy and potentially improving response times.

  • How does the speed of Llama 3 compare to other AI models?

    -The script demonstrates that Llama 3 is very fast, even when run on a Mac M2, suggesting it is highly efficient and capable of providing quick responses.

  • What kind of tasks can Llama 3 perform?

    -Llama 3 can perform a variety of tasks, including generating meal plans, answering questions about general knowledge, and potentially many other AI-driven tasks.

  • Why is it important to subscribe to the YouTube channel mentioned in the script?

    -Subscribing to the YouTube channel allows you to stay updated with the latest videos on Artificial Intelligence, including tutorials, insights, and updates on tools like Llama 3.

Outlines

00:00

🚀 Running Llama 3 Locally

This paragraph introduces the topic of running Llama 3, an AI model, completely locally on your computer. It emphasizes the benefits of data privacy and leveraging AI's power. The speaker expresses excitement and plans to guide viewers step by step on how to achieve this using Olama, LM Studio, and Jan AI. The paragraph also encourages viewers to subscribe to the YouTube channel for more AI-related content and to like the video for its visibility.

Mindmap

Keywords

💡Llama 3

Llama 3 refers to an advanced artificial intelligence model with 8 billion parameters. It is a core component of the video's theme as it is the AI model that the host demonstrates how to run locally on a computer using various platforms. The term is used to illustrate the power and capabilities of AI when utilized in a private, local environment.

💡Ollama

Ollama is a software mentioned in the video that allows users to run Llama 3 locally. It is significant as it enables data privacy by keeping AI processing on the user's own computer. In the script, the host demonstrates downloading Ollama and using it to run Llama 3, showcasing its ease of use and integration with the AI model.

💡LM Studio

LM Studio is a platform that provides an interface for interacting with AI models like Llama 3. It is highlighted in the video for its user-friendly approach to AI interaction. The host uses LM Studio to search for and download Llama 3, then engages with it to generate a meal plan, demonstrating the practical applications of AI in daily tasks.

💡Jan AI

Jan AI is another platform discussed in the video for running AI models like Llama 3 locally. It is presented as an alternative to Ollama and LM Studio, offering users a different option for local AI deployment. The host guides viewers on how to install and use Jan AI to access Llama 3, emphasizing the flexibility and choice available to users.

💡Data Privacy

Data privacy is a central theme of the video, emphasizing the importance of keeping personal data secure. The host discusses how running AI models like Llama 3 locally on one's computer can help maintain data privacy, as opposed to using cloud-based services that may require data sharing. The concept is woven throughout the video, highlighting the benefits of local AI processing.

💡Artificial Intelligence (AI)

Artificial Intelligence (AI) is the overarching theme of the video, with Llama 3 being a specific example of an AI model. AI is defined as the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the script, AI is used to generate a meal plan and answer questions, showcasing its utility and potential in enhancing user experiences.

💡Local Deployment

Local deployment refers to the process of running software, in this case, AI models, on a user's local machine rather than on a remote server. The video focuses on local deployment as a way to enhance data privacy and leverage the power of AI without relying on external services. The host demonstrates local deployment using Ollama, LM Studio, and Jan AI.

💡API

An API, or Application Programming Interface, is a set of rules and protocols that allows different software applications to communicate with each other. In the context of the video, the host uses the Ollama API to load Llama 3 in the terminal, demonstrating how developers can integrate AI models into their applications. The API is a crucial tool for developers looking to leverage AI capabilities.

💡Model Parameters

Model parameters in the context of AI refer to the specific weights and biases that define the behavior of the AI model. The video mentions an '8 billion parameter model,' highlighting the complexity and capability of Llama 3. These parameters are learned from data and are what allow the model to perform tasks such as generating meal plans or answering questions.

💡Meal Plan Generation

Meal plan generation is an example of a practical application of AI demonstrated in the video. The host asks Llama 3 to generate a meal plan for the day, which the AI does quickly and accurately. This showcases the potential of AI to assist with everyday tasks, providing users with convenience and efficiency in their daily lives.

💡Terminal

The terminal, also known as the command line or command prompt, is a text-based interface for interacting with a computer's operating system. In the video, the host uses the terminal to run commands related to Ollama and Llama 3, demonstrating the technical process of interacting with AI models at a more advanced level.

Highlights

The video demonstrates how to run Llama 3 locally on your computer.

Using Ollama, LM Studio, and Jan AI allows you to keep your data private.

Llama 3 can be run locally to leverage AI power without compromising data privacy.

The presenter provides a step-by-step guide on running Llama 3 using different platforms.

Downloading Ollama from ama.com gives access to Mac, Linux, and Windows versions.

Running 'ollama run llama 3' in the terminal automatically downloads the Llama 3 model.

The Llama 3 model is impressively fast, as demonstrated on a Mac M2.

LM Studio offers an interface to search and download multiple versions of Llama.

LM Studio allows users to chat with the selected AI model after downloading.

Jan AI can be installed locally, and it will soon support Llama 3.

A new chat can be initiated in Jan AI to select and interact with the desired model.

Ollama API can be used to load the Llama 3 model in the terminal with a few lines of code.

The Ollama API example demonstrates asking 'why is the sky blue' and receiving a response.

LM Studio's local server can be started to run the model at a specific endpoint.

The video includes a Python code example for interacting with the Llama 3 model via API.

Jan AI can be integrated with an API using the Local Host 1337 endpoint.

The presenter expresses excitement about creating more videos on similar topics.

The video concludes with a call to like, share, subscribe, and provides a thank you note to the viewers.

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