Llama-3.1 (405B, 70B, & 8B) + ContinueDev FREE Copilot! Fully Locally and Opensource!

WorldofAI
25 Jul 202410:21

TLDRThe video showcases the integration of Meta AI's new Llama 3.1 model with the coding assistant, ContinueDev, offering a local, open-source alternative to GitHub Copilot. The Llama 3.1 model comes in three sizes: 405B, 70B, and 8B parameters, with the 405B model being the flagship. The video demonstrates creating a SAS application and a snake game using the model's coding capabilities, highlighting its impressive performance on benchmarks and its ability to enhance productivity and code quality without the need for GPUs.

Takeaways

  • 😀 The video introduces the new Llama 3.1 model by Meta AI, which is an open-source large language model available in three sizes: 405 billion, 70 billion, and 8 billion parameters.
  • 🔍 The 405 billion parameter model is considered the flagship model and is the best open-source large language model currently available.
  • 💡 The 70 billion parameter model is a cost-effective option suitable for various applications, while the 8 billion parameter model is lightweight and fast, making it deployable almost anywhere.
  • 🚀 The Llama 3.1 model shows impressive performance, even outperforming some closed-source models in certain benchmarks.
  • 🌐 The video demonstrates how to integrate the Llama 3.1 model with a programming tool called AER, creating a powerful coding assistant.
  • 💻 The presenter showcases the integration of the Llama 3.1 model with ContinueDev, an AI-powered tool that enhances coding by offering real-time suggestions, error detection, and optimization tips.
  • 🔗 The video explains how to set up ContinueDev with Visual Studio Code and integrate it with the Llama 3.1 model using the Together AI API.
  • 💰 The Together AI API offers a free tier that can be accessed to utilize the Llama 3.1 model, making it a cost-effective solution for developers.
  • 📚 The presenter recommends trying the 405 billion parameter model for its superior capabilities, although it requires using the Together AI API due to its size.
  • 📝 The video includes a demonstration of coding a basic snake game using the Llama 3.1 model, showcasing the model's coding capabilities.
  • 📢 The presenter encourages viewers to follow him on Patreon and Twitter for access to AI tools and to stay updated with the latest AI news.

Q & A

  • What is the Llama 3.1 model and what are its different sizes?

    -The Llama 3.1 model is a new open-source large language model by Meta AI. It comes in three different sizes: a 405 billion parameter model which is the flagship foundational model, a 70 billion parameter model that is cost-effective for various uses, and an 8 billion parameter model which is a lightweight, fast model suitable for deployment almost anywhere.

  • How does the performance of Llama 3.1 compare to other models?

    -Llama 3.1 shows impressive performance, especially in coding capabilities. It competes well with both open-source and closed-source models, such as GP3, Omni, and CLaW 3.5 Sonic, and in some cases, it even outperforms them.

  • What is ContinueDev and how does it enhance coding?

    -ContinueDev is an AI-powered tool designed to enhance coding by offering real-time suggestions, error detection, and optimization tips. It supports various programming languages and integrates smoothly with popular development environments.

  • How can one integrate the Llama 3.1 model with ContinueDev?

    -To integrate Llama 3.1 with ContinueDev, one needs to install the ContinueDev extension in Visual Studio Code or JetBrains, then set up an account with Together AI to get the API key. After that, the key is pasted into ContinueDev settings, and the specific Llama 3.1 model is selected for integration.

  • What is the significance of the 'Together AI API' in the context of Llama 3.1?

    -The Together AI API allows users to access the larger Llama 3.1 models, which are too large to run on consumer-grade PCs, by running them on the cloud. This enables the use of the powerful 405 billion parameter model without the need for local computational resources.

  • What are the system requirements for installing the 8 billion and 70 billion parameter models locally?

    -The 8 billion parameter model requires approximately 5 GB of storage, while the 70 billion parameter model requires around 40 GB. Users need to have the right GPU and sufficient storage to install these models locally using AMA.

  • How can the 405 billion parameter model be used without a GPU?

    -The 405 billion parameter model can be used without a GPU by leveraging the Together AI API, which allows the model to run on the cloud and be accessed through ContinueDev.

  • What is the process of installing the 8 billion parameter model locally?

    -To install the 8 billion parameter model locally, one needs to open the command prompt, navigate to the model page on the AMA website, copy the installation command, and paste it into the command prompt. After installation, the model can be integrated with ContinueDev.

  • What is the benefit of using the 405 billion parameter model as a personal coding co-pilot?

    -Using the 405 billion parameter model as a personal coding co-pilot provides a powerful tool for coding assistance. It can generate code quickly, such as creating a snake game in seconds, and can be accessed for free through the Together AI API.

  • How can one test the capabilities of ContinueDev with the integrated Llama 3.1 model?

    -To test the capabilities, one can generate a basic code snippet, such as a snake game, using the Llama 3.1 model through ContinueDev. The generated code can then be saved and run to verify its functionality.

  • What additional resources are available for those interested in AI solutions and tools?

    -For those interested in AI solutions, there is a Patreon page offering new subscriptions, a team of software engineers and AI consultants known as 'World of AI Solutions', and a link to book a consultant call. Additionally, users are encouraged to follow the creator on Twitter for the latest AI news.

Outlines

00:00

🚀 Introduction to Meta AI's Llama 3.1 Model Integration

The video begins with an introduction to the new Llama 3.1 model by Meta AI, highlighting its capabilities and sizes. The presenter demonstrates the integration of the model with a programming tool called AER, showcasing the creation of a sophisticated SAS application. The Llama 3.1 model is presented as the best open-source large language model available, with three sizes: a 405 billion parameter flagship model, a 70 billion parameter cost-effective model, and an 8 billion parameter lightweight model. The video emphasizes the model's performance, comparing it favorably to both open-source and closed-source models, and outlines the presenter's plan to demonstrate the creation of a coding co-bot assistant using the largest Llama 3.1 model with a free tier of the Together AI API.

05:03

💻 Setting Up Llama 3.1 Model with Continue Dev and Together AI

This paragraph details the process of setting up the Llama 3.1 model with Continue Dev, an AI-powered coding tool. The presenter instructs viewers to install Visual Studio Code and the Continue Dev extension, then choose the appropriate Llama 3.1 model based on their hardware capabilities. For those with the necessary GPU, local installation of the 8 billion or 70 billion parameter models is possible. The presenter also explains how to utilize the 405 billion parameter model via the cloud and Together AI's API, which includes a $25 credit for testing. The process involves creating a Together AI account, obtaining an API key, and configuring the Continue Dev extension to work with the Llama 3.1 model. The presenter demonstrates this by typing 'hello' and successfully connecting to the model.

10:03

🎮 Demonstrating the Llama 3.1 Model's Coding Capabilities

The final paragraph showcases the Llama 3.1 model's coding capabilities by generating a basic snake game. The presenter copies the game's code and pastes it into a new Python file, saving it to the desktop and verifying its functionality. The video also mentions a full demonstration of Continue Dev's features in a separate video, which is linked in the description. The presenter concludes by encouraging viewers to follow on Patreon for AI tool subscriptions, Twitter for AI news, and to subscribe and turn on notifications for the channel, ending the video with a positive note and a sign-off.

Mindmap

Keywords

💡Llama 3.1 model

The Llama 3.1 model refers to a series of large language models developed by Meta AI, with varying sizes of 405 billion, 70 billion, and 8 billion parameters. These models are designed to handle complex tasks and are significant in the field of artificial intelligence due to their size and capabilities. In the video, the speaker highlights the impressive performance of the Llama 3.1 model, especially the 405 billion parameter version, which is considered the flagship model and is compared favorably with other models in terms of coding capabilities.

💡AER

AER is a term mentioned in the script but not explicitly defined. It likely refers to a tool or platform used in conjunction with the Llama 3.1 model, possibly for programming or development purposes. The script suggests that the speaker was able to create an application using AER and the Llama 3.1 model, indicating a synergy between the two for enhanced development capabilities.

💡SAS application

The term 'SAS application' seems to refer to a specific type of software application that the speaker created using the Llama 3.1 model and AER. Although the exact nature of the SAS application is not detailed in the script, it is presented as an example of the capabilities of the Llama 3.1 model in conjunction with other tools, showcasing its utility in application development.

💡Open-source model

An open-source model in the context of the video refers to a type of AI model that is publicly accessible and modifiable, unlike proprietary models that are restricted to the company that developed them. The Llama 3.1 model is highlighted as the best open-source large language model available, emphasizing its availability to the public and its potential for widespread use and contribution.

💡Human Evol and Evol plus benchmarks

These benchmarks are likely performance metrics or tests used to evaluate the capabilities of AI models, including the Llama 3.1 model. The script mentions that the Llama 3.1 model shows impressive results on these benchmarks, suggesting that it performs well when compared to other models, both open-source and closed-source.

💡Coding co-pilot

A coding co-pilot, as discussed in the video, is a tool or assistant that aids in the coding process, possibly by providing suggestions, detecting errors, or optimizing code. The speaker demonstrates how the Llama 3.1 model can be integrated with a tool called 'Continue Dev' to create a personal coding co-pilot, enhancing the coding experience by leveraging the capabilities of the AI model.

💡Continue Dev

Continue Dev is described as an AI-powered tool designed to enhance coding by offering real-time suggestions, error detection, and optimization tips. It is an open-source code co-pilot that supports various programming languages and integrates with popular development environments. The video shows how to integrate Continue Dev with the Llama 3.1 model to create a powerful coding assistant.

💡Together AI API

The Together AI API is a service mentioned in the script that allows for the integration of the Llama 3.1 model into other platforms or tools. The speaker uses this API to connect the 405 billion parameter model of Llama 3.1 with Continue Dev, demonstrating how the API facilitates the use of the model's capabilities in a cloud-based environment.

💡Meta AI

Meta AI is the developer of the Llama 3.1 model and is likely a division or subsidiary of Meta Platforms, Inc., formerly known as Facebook, Inc. The company is known for its work in artificial intelligence and the development of advanced AI models like Llama 3.1, which are designed to perform a variety of tasks, including coding and language processing.

💡GitHub Copilot

GitHub Copilot is an AI-powered code assistant developed by GitHub and OpenAI. It is mentioned in the script as a comparison to the capabilities of the Llama 3.1 model when integrated with Continue Dev. The speaker suggests that the Llama 3.1 model, particularly when used without the need for GPUs, offers a compelling alternative to GitHub Copilot.

💡Visual Studio Code

Visual Studio Code, often abbreviated as VS Code, is a popular code editor developed by Microsoft. It is mentioned in the script as the preferred development environment for installing and using the Continue Dev extension, which integrates the Llama 3.1 model to enhance coding capabilities.

Highlights

Introduction of Llama 3.1, a new open-source large language model with three different sizes: 405B, 70B, and 8B parameters.

Llama 3.1's impressive performance in coding capabilities under human Evol and Evol plus benchmarks, outperforming some closed-source models.

Comparison of Llama 3.1 with other open-source models, showing it outpaces almost every model in every category.

The possibility of deploying the open-source Llama 3.1 model locally as a personal coding co-pilot.

Integration of Llama 3.1 with ContinueDev, a tool that enhances coding with real-time suggestions and error detection.

ContinueDev's support for various programming languages and smooth integration with popular development environments.

Instructions on how to install ContinueDev within Visual Studio Code or JetBrains.

Details on utilizing the 405B parameter model of Llama 3.1 with the Together AI API on the cloud.

The option to use the 70B and 8B parameter models locally if the user has the right GPU and meets system requirements.

A demonstration of installing the 8B parameter model of Llama 3.1 using the command prompt and AMA.

How to integrate the Llama 3.1 model with ContinueDev using the Together AI API key.

A walkthrough of setting up the Llama 3.1 model in ContinueDev to access the 405B parameter model for free.

Testing the Llama 3.1 model by generating a basic snake game code within seconds.

A full video showcasing the capabilities of ContinueDev to enhance coding productivity.

Invitation to follow the creator on Patreon for access to AI tool subscriptions and Twitter for AI news updates.

Introduction of World of AI Solutions, a team offering AI solutions for businesses and personal use cases.

A reminder to subscribe, turn on notifications, and check out previous videos for the latest AI news.

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