Free And Local Coding Assistant – Llama3

Discover Llama3: The Free and Local Coding Assistant for Streamlined Development

In the evolving landscape of software development, having efficient tools can significantly enhance productivity and creativity. One such breakthrough tool is Llama3, a new coding assistant built into Visual Studio Code that leverages powerful language models to assist developers. Completely free and runnable locally, Llama3 promises to streamline coding processes without the need for cloud dependencies. In this article, we explore the functionalities of Llama3, how to set it up, and how it stands out in the vast sea of coding tools available today.

Introduction to Llama3 and Its Foundations

Llama3 integrates seamlessly with Visual Studio Code, one of the most popular development environments. The tool is built upon the foundation of "Llama," a variant of the renowned large language models which have been tailored for coding. Before diving into the rich features of Llama3, it’s essential to understand the backbone technology – the Llama models, specifically the 8B and Instruct models.

Setting Up Llama3: A Step-by-Step Guide

1. Install OrLama:
Your first step involves downloading OrLama, the engine that powers the Llama models. It is available at ama.com and supports Linux, Microsoft, and macOS platforms.

2. Pull the Required Llama Models:
Once OrLama is installed, you should pull the necessary Llama models. There are two key models – the Llama 8B model and the Llama Instruct model. These can be pulled using commands like orLama pull llama free 8B or orLama pull llama free instruct. Each serves different purposes, which we will discuss shortly.

Understanding the Llama Models: 8B vs. Instruct

The Llama 8B model is a base model primarily used for generating completions based on input prompts. It’s based on an optimized Transformer architecture and is quite adept at producing coherent code snippets.

On the other hand, the Llama Instruct model is fine-tuned for instruction following and engaging in multi-turn conversations. This makes the model especially suitable for use cases involving dialogues or more interactive coding assistant functionalities. Its ability to understand and follow natural language instructions offers a more engaging user experience.

Integrating Llama3 into Visual Studio Code

After installing OrLama and pulling the models, integrating Llama3 in Visual Studio Code is straightforward:

1. Look for the Extension:
Navigate to the Extensions menu in Visual Studio Code, search for "Code GPT", and install the extension labeled "Code GPT Chat and AI Agents."

2. Configure the Extension:
In the extension settings, select OrLama as the provider, enable "code GPT co-pilot," and for the autocomplete provider, choose "llama instruct".

3. Accessing Llama3 Interface:
On the left hand side panel, you will find the new interface for "Code GPT Chat". Choose the model you want to engage with (e.g., Llama 8B), and start your coding dialogue.

Practical Applications of Llama3 in Coding Projects

Llama3 lets you automate several aspects of coding:

• Generating code: Ask Llama3 to write a Python game or any code snippet.
• Refactoring: Improve existing code by asking Llama3 to refactor it.
• Documentation: Generate documentation instantly for any piece of code.
• Error resolution: Identify and fix errors with guidance from Llama3.

Final Thoughts: The Value of a Free and Local Coding Assistant

Llama3 offers a compelling proposition by being both free and local. It aligns with the needs of developers who require a reliable assistant without the latency or privacy concerns associated with cloud-based services. Whether you are an experienced developer or a beginner, Llama3 can significantly enhance your coding efficiency and quality.

Conclusion

Llama3 is not just another tool in the developer’s toolbox. It represents a leap towards more autonomous, efficient, and enjoyable software development. By leveraging cutting-edge AI directly within Visual Studio Code, Llama3 stands out as a valuable resource for developers looking to enhance their coding workflow. If you are seeking a robust, intelligent, and user-friendly coding assistant, Llama3 is certainly worth exploring. Join the community of users, share your feedback, and keep automating towards a more productive coding future!

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[h3]Transcript[/h3]
a new and free coding assistant which you can run locally um it is a new Visual Studio code that streamlines your coding with llama obviously you guys know llama and it is using all Lama so in this short video I I will show you how you can implement this and leverage this extension in Visual Studio code before we get started you need to make sure that you install or Lama uh if you guys don’t know what is orama just come to this website ama.com and download it is available for Linux Microsoft and mac and then the next thing that you need to do is pull the Llama models you’re going to pull the 8B model and you’re going to pull the Lama instruct model if you already have them you can run the pull command otherwise you run this command or Lama run Lama free you can do it like I did it right here let me make this bit larger so you can see or Lama pool Lama free 8B or Lama pool Lama free instruct for those of you who don’t know what is the difference between the 8B model and the instruct model check this out I started using lately um Microsoft co- pilot and I find it pretty useful H so if you you guys are not are using Microsoft and are not leveraging this I highly recommend checking this out I’ve overlooked co-pilot for a while until one of the subscribers to my channel contacted me via LinkedIn and suggested that I take a look and since then I’ve been using the co- pilot pretty often for this type of stuff and also for transcription um actually many use cases so anyway the difference between Lama 88b and instruct they def fact both of them are versions of meta Lama which is a a family of large language models Lama 38b is the base model which is primarily used for generating completions to the input prompt it’s an auto regressive language model that uses an optimized Transformer architecture while Lama free instruct is this version is a fine tuned for instruction following and multi-term conversation templates for assistant completions as chat responses it’s optimized for dialogue use cases and art performs many of the available open- Source chat models on common industry benchmarks the instructions find the instruction tuning process involves fine-tuning the model to better understand and follow natural language instructions enabling more natural and engaging conversation so basically they are somewhat similar the instruct model like any instr other model is fine tuned for receiving instructions and conducting a conversation so after you’ve pulled or installed both models they weigh 4.7 gab you can come to visual studio code let me see that I’m not missing anything yes so choose okay so then you need to look for this extension in Visual Studio code you come here extensions you write down code GPT and you look for code GPT chat and AI agents their icon looks like this you are going to install I already installed this so there’s no need to click the uninstall I mean no need to click the install I only have the uninstall alternative afterwards you come to here actually and you go to extension settings and over here you need to select the provider you switch to or Lama then enable this enable code GPT co-pilot and then for the autocomplete provider select llama instruct and that’s pretty much it on the left hand side on this panel you will have this alternative which is the code chat GPT code GPT chat over here you see it it looks like a chat interface let me delete this you select the model so Lama 8B and then you can start a conversation and in opposing to using chpt or clo as a coding assistant this is a built-in coding assistant which is free and local and you can just copy code to your project and then also refactor the code or or fix error stuff like this so let’s take an example the most simple and obvious example can you write a snake python game for me and I’m not sure I always use this uh I mean everyone is using this example it’s on one hand it’s it seems kind of stupid but on the other hand it’s a bit it’s becoming somewhat of a meme and it’s actually the most the easiest and simplest way to show how this stuff performs so I will just stick to this unless any one of you has a better um example in mind as you can see H it is working pretty fast and don’t forget this is running locally on my computer and because AMA the model is installed on my computer we have this code and it writes everything down and we can easily just copy the code as soon as it finishes insert the code to this file and we have all the code written down now we can ask it can you add documentation and can add the documentation you can also do a lot of other stuff over here so let me go back here just a sec so you can ask it to explain a selected code refactor a selected code write the documentation and they also have specific a agents which I didn’t play around with I’m not sure what is is there is is their value but I’m I’m assuming there is some more of a value but I just use this extension for the simple stuff I’m not sure if it’s significantly different from other vs code extensions but it’s just another tool in the tool boox and since it leverages llama which is the free mod model by meta it’s uh and it actually performs pretty well this is great and I wanted to share it with you guys H I’m not going to test out the written code because this is not the point of the video obviously if Lama free and the 8B model is powerful enough to create to generate the relevant code for python for the Snake Game it would work otherwise it wouldn’t work but it has nothing to do with the ex the extension so and and that was the the main goal of the video just showing you this extension um I guess that’s pretty much it let me see if I covered everything just a short um video about this new coding assistant which is free and local I haven’t uploaded a video in a while now so I wanted to remove the rust quote unquote with this short video sharing with you this coding assistance that I’m testing out lately if you guys enjoyed the video obviously comment below if you’re using a different coding assistant that you believe is more powerful please feel free to share it with me in the comment section obviously I’m always welcoming any feedback just let me know if you enjoy this video please like and comment and subscribe and until next time keep on automating