Llama-3.1 (405B & 8B) + Groq + TogetherAI : FULLY FREE Copilot! (Coding Copilot with ContinueDev)

AICodeKing
25 Jul 202409:58

TLDRThis video introduces the new Llama-3.1 AI models, including a 405B, 70B, and 8B variant. The presenter discusses setting up a coding co-pilot using these models with TogetherAI's API, Groq for chat, and AMA for local autocomplete. The video also covers configuring shell GPT and the ContinueDev extension for an integrated co-pilot experience.

Takeaways

  • 🚀 Llama 3.1 has been launched with variants including 405B, 70B, and 8B, showing impressive performance for their size.
  • 🔍 The 45B model is comparable to Frontier models like GPT 40 and Claude 3.5, while the 8B model is also notable.
  • 🤖 A co-pilot is being created using these models, with the 405B model requiring an API due to its size.
  • 💳 TogetherAI is used for the API, offering a free $25 credit to try out the co-pilot.
  • 🔗 The 70B model can be configured for chat via Groq, which allows for free, rate-limited API usage.
  • 🏠 The 8B model will be hosted locally using AMA for autocomplete, providing faster performance.
  • 🛠️ Shell GPT is used for creating a shell co-pilot, similar to GitHub's co-pilot shell suggestion feature.
  • 📚 Continue Dev is the chosen extension for integrating local models and remote APIs like Groq and TogetherAI.
  • 🔧 Users need to register on TogetherAI and Groq to obtain API keys for accessing the models.
  • 📈 The co-pilot configuration allows for complex tasks to be handled by the 405B model via remote server, while local tasks use the 8B model.

Q & A

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

    -Llama 3.1 is an AI model that has been launched in three different sizes: 8B, 70B, and 405B. These models are designed to provide great performance relative to their size, with the 405B variant being particularly notable for its capabilities.

  • Why is TogetherAI being used for the co-pilot project?

    -TogetherAI is chosen for the co-pilot project because it offers a free $25 credit, allowing users to try out the API without initial cost. This is particularly useful for the chat and shell part of the co-pilot where the 405B model cannot be locally hosted.

  • How can one configure the 70B model for chat using Groq?

    -To configure the 70B model for chat using Groq, one needs to sign up on Groq, get the API key, and then use the provided rate-limited API usage for free. This allows the use of the model for chat without incurring costs.

  • What is the role of AMA in the co-pilot setup?

    -AMA is used to host the smaller 8B model locally, which is then utilized as the autocomplete model. This setup ensures faster performance for the autocomplete feature.

  • What is the purpose of using the ContinueDev extension?

    -The ContinueDev extension is used to integrate the co-pilot with local models as well as with Groq and TogetherAI. It is open source and offers built-in integration, making it a go-to choice for the co-pilot setup.

  • How does the co-pilot handle the 405B model since it can't be hosted locally?

    -For the 405B model, which cannot be hosted locally due to its size, an API is used. The co-pilot leverages the TogetherAI API to access the model's capabilities remotely, particularly for the chat interface.

  • What are the steps to register and use the TogetherAI API?

    -To register and use the TogetherAI API, one must first sign up on the TogetherAI platform, navigate to the settings option, and then the billing section to see the $25 free credit. In the API key section, the API key can be found and copied for later use.

  • How can shell GPT be integrated with TogetherAI and Groq?

    -Shell GPT can be integrated with TogetherAI and Groq by installing the necessary components like light LLM and then configuring the sgpt command with the respective API keys and model names in the sgpt config file.

  • What are the features of the ContinueDev extension for the co-pilot?

    -The ContinueDev extension allows for the addition of models, configuration of model names, and the ability to generate code directly in the file or via the chat interface. It also supports adding code bases and files for code references.

  • How does the co-pilot differentiate between the use of different Llama 3.1 model sizes?

    -The co-pilot uses the 405B model for complex tasks via a remote server with the chat interface, while the 8B model is used locally for autocomplete, ensuring fast performance without the need for an internet connection.

Outlines

00:00

🚀 Launch of New Llama 3.1 Models and Co-Pilot Setup

The video introduces the release of new Llama 3.1 models, including an 8B, 70B, and 405B variant, emphasizing their impressive performance relative to their size. The 45B model is highlighted as being on par with larger models like GPT 40 and Claude 3.5. The video's main focus is on setting up a co-pilot using these models, particularly the 405B model, which requires an API due to its size. Together AI is chosen for its free $25 credit offer. The video also discusses using the 70B model for chat via Gro for free and the 8B model for local hosting as an autocomplete model. The setup involves registering for Together AI, installing Shell GPT and Light LLM, and configuring them with the respective APIs. The use of the Continue Dev extension for integration with local models and APIs is also covered.

05:01

🛠️ Configuring Co-Pilot with Llama 3.1 for Chat and Autocompletion

This paragraph delves into the detailed setup process for using Llama 3.1 models in a co-pilot environment. It explains how to install and configure the Continue Dev extension to work with the 405B model via the Together AI API and the 70B model via the Gro API for chat capabilities. The paragraph also covers how to modify the settings to ensure compatibility with the Llama 3.1 model. Additionally, it describes the process of setting up autocompletion using the 8B model locally with AMA, including installing AMA, selecting the model variant, and integrating it with Continue Dev for a seamless autocompletion experience. The video concludes by suggesting a potential mini version of the co-pilot using smaller models for chat and autocompletion and invites viewer feedback and support for the channel.

Mindmap

Keywords

💡Llama-3.1

Llama-3.1 refers to a series of new AI models launched with varying sizes, including 8B, 70B, and 405B variants. These models are highlighted in the video for their impressive performance relative to their size, especially the 405B model, which is said to be on par with other Frontier models like GPT 40 and Claude 3.5. The term is central to the video's theme, which is about creating a coding co-pilot using these advanced AI models.

💡Groq

Groq is mentioned as a platform that the video creator will use for the co-pilot's chat and shell part. It is significant because it offers rate-limited API usage for free, which allows the use of the 70B model for chat without incurring costs. This is a key aspect of the video's exploration of cost-effective ways to implement AI models.

💡TogetherAI

TogetherAI is introduced as a provider of a free $25 credit for API usage, which is utilized in the video to try out the Llama-3.1 models. It plays a crucial role in the video's demonstration of how to set up and use the co-pilot with the 405B model, emphasizing the ease of access to advanced AI capabilities.

💡Co-pilot

A co-pilot, in the context of this video, refers to an AI assistant designed to aid in coding by providing chat and shell suggestions, as well as autocomplete functionalities. The video discusses how to configure such a co-pilot using various AI models and APIs, making it a central concept in the video's educational content.

💡API

API, or Application Programming Interface, is a set of rules and protocols for building software applications. In the video, APIs from TogetherAI and Groq are used to access the Llama-3.1 models for the co-pilot's functionalities. The concept is fundamental to the video's technical setup and usage of AI models.

💡AMA

AMA, or Ask Me Anything, is a platform mentioned in the video for hosting the 8B model locally for autocomplete purposes. It is part of the video's strategy to utilize different models for different functionalities of the co-pilot, optimizing both performance and cost.

💡Autocomplete

Autocomplete is a feature discussed in the video that suggests code completions as a user types. The video explains using the 8B model locally for this feature to ensure fast and efficient code suggestions without relying on internet connectivity.

💡ContinueDev

ContinueDev is an extension mentioned in the video for integrating the co-pilot functionalities into a development environment. It is noted for its open-source nature and built-in integration for local models as well as APIs from Groq and TogetherAI, making it a key tool in the video's setup.

💡Shell GPT

Shell GPT is a tool used in the video for creating a shell co-pilot that provides suggestions similar to GitHub's co-pilot shell feature. It is integrated with light LLM and configured with TogetherAI and Groq APIs, demonstrating the video's focus on practical implementations of AI in coding assistance.

💡Light LLM

Light LLM is a component used in conjunction with Shell GPT in the video to facilitate the configuration with TogetherAI and Groq. It is part of the technical stack that enables the co-pilot's shell suggestion feature, showcasing the video's exploration of integrating AI with existing tools.

Highlights

Llama 3.1 has been launched in three variants: 8B, 70B, and 405B.

The 405B model shows great results and is on par with Frontier models like GPT 40 and Claude 3.5.

The 8B model is also impressive for its size.

A co-pilot is being developed using these new models.

For the co-pilot, an API from TogetherAI will be used due to a free $25 credit offer.

The 70B model can be configured for chat via Gro for free.

AMA will be used to host the 8B model locally for autocomplete.

Continue Dev extension is recommended for its open-source nature and integration capabilities.

Instructions on how to register on TogetherAI and obtain the API key are provided.

A guide on installing and configuring shell GPT with TogetherAI and Gro is given.

Continue Dev extension installation and setup process is explained.

The chat interface can generate code and insert it into files.

Code base and files can be added to the chat for code references.

Auto-completion will use the 8B model locally for better performance.

AMA installation and setup process for the 8B model is detailed.

The co-pilot configuration allows for complex creations using the 405B model remotely and local work with the 8B model.

A suggestion for a mini version of the co-pilot using even smaller models is mentioned.

The video concludes with a call for feedback and an invitation to support the channel.