Llama-3.1 (405B, 70B, 8B) + Groq + TogetherAI + OpenWebUI : FREE WAYS to USE ALL Llama-3.1 Models

AICodeKing
25 Jul 202405:48

TLDRThis video tutorial introduces the Llama-3.1 models by Meta and offers free methods to use the 8B, 70B, and 405B models. It guides viewers through local installation of the 8B model using ama.com, Docker, and OpenWebUI. For the 70B model, it recommends using Gro's free API, while TogetherAI provides a $25 credit for the 405B model. The video also highlights additional features of the OpenWebUI interface, such as creating threads and document chats.

Takeaways

  • 🚀 Llama-3.1, a new AI model by Meta, comes in three sizes: 8B, 70B, and 405B.
  • 💻 You can run the 8B model locally by downloading the setup file from ama.com and following the instructions.
  • 📝 To use the 8B model, copy a specific command from the models page and paste it into your terminal to download and install the model.
  • 🔍 Install Docker by downloading the setup file and following the onscreen instructions for it to run in the background.
  • 🌐 Search for 'open web UI' on Google, find the GitHub repo, and copy a command to install it via terminal.
  • 🖥️ Access the OpenWebUI interface by navigating to 'Local Host at Port 3000' in your browser and create a local account.
  • 🤖 Select the Llama 3.1 model in the chat interface to start using it for various tasks, including document chats and calls.
  • 🔑 For using the 70B or 8B models without local hosting, configure the interface with Gro, which offers free, rate-limited API usage.
  • 🔗 To configure with Gro, register for an account, create an API key, and enter it in the OpenWebUI connections tab.
  • 💰 TogetherAI offers a $25 free credit to use the 405B model, which is not supported by Gro.
  • 📈 Sign up for TogetherAI, copy the API key, and configure it in OpenWebUI to use the 405B model until the credit runs out.
  • 📚 The video also suggests that you can use the smaller 8B model locally for free and upgrade to larger models when needed.

Q & A

  • What is Llama-3.1 and why is it significant?

    -Llama-3.1 is a series of AI models launched by Meta, including 8B, 70B, and 405B models. It's significant because it offers advanced capabilities for AI tasks, and the video provides instructions on how to use these models for free or locally.

  • How can I download and install the 8B Llama-3.1 model locally?

    -To download and install the 8B Llama-3.1 model locally, visit ama.com, select your operating system, download the setup file, and follow the on-screen instructions. After installation, go to the models page, copy the Llama 3.1 model command, open your terminal, and paste the command to download and install the model.

  • What is Docker and how does it relate to the Llama-3.1 model installation?

    -Docker is a platform that enables developers to develop, deploy, and run applications with containers. In the context of Llama-3.1, Docker is used to facilitate the installation process by downloading the Docker setup file and following the on-screen instructions.

  • How can I access the chat interface for the Llama-3.1 model after installation?

    -After the Llama-3.1 model has been installed, you will see a chat interface on your terminal. You can send a message through this interface to check if it's working properly.

  • What is OpenWebUI and how does it relate to using the Llama-3.1 models?

    -OpenWebUI is a user interface that can be accessed through a web browser. It is related to the Llama-3.1 models as it provides an interface where you can select and interact with different Llama models after installation.

  • How do I install OpenWebUI and access it in my browser?

    -To install OpenWebUI, search for it on Google, find the GitHub repo, and copy the provided command. Open your terminal, paste the command, and wait for the installation to complete. Once installed, access it by going to 'Local Host at Port 3000' in your browser.

  • What is the purpose of creating an account on OpenWebUI?

    -Creating an account on OpenWebUI is necessary to use the interface and interact with the Llama models. Although it's a local setup, the account helps in managing user sessions and interactions within the platform.

  • How can I use the 70B or 8B Llama models without local hosting?

    -For using the 70B or 8B Llama models without local hosting, you can configure the interface with Gro, which offers free, rate-limited API usage. Register for an account on Gro Cloud, create an API key, and configure OpenWebUI with the Gro base URL and API key.

  • What is TogetherAI and how can it be used to access the 405B Llama model?

    -TogetherAI is a platform that provides a $25 free credit for using their services. You can use this credit to access the 405B Llama model for free. Sign up on TogetherAI, get your free credits, copy the API key, and configure OpenWebUI with the Together AI API endpoint URL and your API key.

  • What are some additional features of the OpenWebUI interface?

    -The OpenWebUI interface offers several features such as creating new threads, chatting with documents, and even making calls, providing a versatile platform for interacting with the Llama models.

  • How can I support the creator of the tutorial video?

    -You can support the creator by donating through the 'super thanks' option below the video, giving the video a thumbs up, and subscribing to their channel.

Outlines

00:00

🚀 Launch of Llama 3.1 Models by Meta

This paragraph introduces the recent launch of Llama 3.1 by Meta, highlighting the availability of three different models: 8B, 70B, and 405B. The focus is on how to run the 8B model locally. The process involves visiting ama.com to download the setup file for the chosen operating system, following the installation instructions, and accessing the models page to download and install the Llama 3.1 model. Additionally, the user is guided to install Docker and open web UI from a GitHub repo, which will allow them to interact with the model through a chat interface. The paragraph also mentions the possibility of using the 70B and 8B models for free without local hosting through Gro, which offers a free, rate-limited API usage, and Together AI, which provides a $25 free credit for initial use.

05:02

🌐 Using Llama Models with Gro and Together AI

This paragraph continues the discussion on utilizing the Llama models, specifically focusing on the 70B and 405B models without the need for local hosting. It explains how to configure the interface with Gro by registering for an account, obtaining an API key, and connecting it through the open web UI. The paragraph also covers the use of Together AI, which provides a $25 free credit, by signing up, accessing the API Keys, and connecting it similarly through the open web UI. The user is informed that while Gro supports the 70B model, Together AI is necessary for the 405B model. The paragraph concludes by emphasizing the benefits of using these models, such as the ability to perform various tasks and interact with the models through different interfaces, and encourages viewers to share their thoughts in the comments.

Mindmap

Keywords

💡Llama-3.1

Llama-3.1 refers to a series of AI models launched by Meta, with varying sizes indicated by the numbers following the name: 405B, 70B, and 8B, representing the size of the model in terms of parameters. These models are central to the video's theme, which is about how to use these models for free. The video script provides instructions on how to download and install the 8B model locally, as well as how to access the larger models through different platforms.

💡Meta

Meta is the parent company of Facebook and is known for its ventures into technology and AI. In the context of this video, Meta is the organization that has launched the Llama-3.1 AI models, which are the focus of the tutorial provided in the script.

💡Local hosting

Local hosting refers to the process of running software, such as the 8B Llama-3.1 model, on one's own computer rather than relying on remote servers. The video script details the steps to download, install, and run the model locally, emphasizing the ability to use the model without internet connectivity or additional costs.

💡Docker

Docker is a platform that enables developers to develop, ship, and run applications in containers. In the video, Docker is mentioned as a prerequisite for running the Llama-3.1 model locally, indicating that it is used to create a consistent environment for the model to operate within.

💡OpenWebUI

OpenWebUI is a user interface that provides access to various AI models, including the Llama-3.1 series. The script describes how to install OpenWebUI and use it to interact with the Llama models, highlighting its role as a gateway to the AI models for users.

💡Groq

Groq is a company offering cloud services for machine learning workloads. In the video, Groq is presented as a platform that provides access to the 70B and 8B Llama-3.1 models for free, with rate-limited API usage, allowing users to utilize these models without local hosting.

💡API Key

An API key is a unique code used to authenticate requests to an API (Application Programming Interface). In the context of the video, API keys are used to access the Llama-3.1 models through Groq and TogetherAI, enabling the connection between the user's interface and the AI models.

💡TogetherAI

TogetherAI is a platform that offers cloud-based AI services. The video mentions TogetherAI as a provider of a $25 free credit, which can be used to access the 405B Llama-3.1 model. This service allows users to utilize the larger model without incurring immediate costs.

💡Free usage

Free usage in the video refers to the ability to use the Llama-3.1 models without incurring costs, either by hosting the 8B model locally or by using the services of Groq and TogetherAI, which offer free tiers or credits for accessing the AI models.

💡Rate-limited

Rate-limited refers to a restriction on the number of requests that can be made to an API within a certain time frame. In the video, Groq's free tier for the Llama-3.1 models is described as rate-limited, meaning users can access the models for free but with a cap on the number of requests they can make.

💡Super Thanks

Super Thanks is a feature that allows viewers to support content creators financially. In the video script, the creator encourages viewers to donate through the Super Thanks option if they appreciate the tutorial, demonstrating a way for viewers to show their support for the content provided.

Highlights

Llama 3.1, a new model by Meta, includes three versions: 8B, 70B, and 405B.

Introduction of how to run the 8B model locally.

Instructions to download and install the Llama 3.1 model using ama.com.

Explanation of accessing the model through the terminal after installation.

Docker installation for additional support in running the model.

Discovery of OpenWebUI through a GitHub repository.

Installation process of OpenWebUI and accessing it locally.

Creating an account on the local OpenWebUI instance.

Using Llama 3.1 models through the OpenWebUI interface.

Features of OpenWebUI including chat threads and document interaction.

Local installation of the Llama 3.1 8B model without external dependencies.

Gro Cloud's free, rate-limited API usage for the 70B and 8B models.

Registration and API key creation process for Gro Cloud.

Configuring OpenWebUI to work with Gro Cloud's API.

TogetherAI's $25 free credit for using the 405B model.

Sign-up process and credit utilization on TogetherAI.

Configuring OpenWebUI with TogetherAI's API for the 405B model.

Availability of all Llama 3.1 models for free usage within credit limits.

Additional capabilities of the interface beyond chat functionalities.

Invitation for feedback and support through donations and subscriptions.

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