Personal Copilot with LlamaCoder, No installation, Llama3.1 405B #local #llama3 #free #generativeai

In this video we will run this repo completely on our local without any installation and free of cost.

Thank you so much for watching. Please Like Share and Subscribe.

0:00 Introduction
0:44 What is llamaCoder
1:57 Tech Stack for LlamaCoder
3:09 Cloning repo on local
3:45 Getting together AI API Key
5:27 Running the application
7:10 Playing with the generated app
7:26 Conclusion
8:21 Like Share and Subscribe

[Link's Used]:

🔥 *What is LlamaCoder?*
LlamaCoder is a powerful open-source tool designed to help you develop full-stack applications without writing a single line of code. Simply state what you want to create, and LlamaCoder will generate the components for you!

🌟 *Key Features:*
- *Open Source:* Completely free and extensible.
- *Powered by Llama 3.1 405B:* From Meta, for the ultimate LLM experience.
- *Together AI:* Used for LLM inference.
- *Sandpack:* For a seamless code sandbox experience.
- *Helicone & Plausible:* For observability and analytics.

📜 *Tech Stack:*
- *Llama 3.1 405B* (Meta)
- *Together AI* (Inference)
- *Sandpack* (Code sandbox)
- *Helicone* (Observability)
- *Plausible* (Website analytics)

🛠️ *Cloning & Running:*
`
2. *Create a .env file* and add your Together AI API key: `TOGETHER_API_KEY=`
3. *Run npm install and npm run dev* to install dependencies and run locally.

🔧 *Future Tasks:*
- Create a new route for updateCode.
- Generate more consistent apps.
- Export or deploy the app in a single click.
- Fix editing bugs.
- Save and revert previous versions.
- Apply code diffs directly.
- Add screenshot upload functionality.
- Support multiple app types and scripts.

If you enjoyed this video, please **LIKE**, **SUBSCRIBE**, and **SHARE**! Let me know in the comments what you think of LlamaCoder and what other tutorials you'd like to see!

🏷️ *Additional Tags and Keywords:*
#LlamaCoder #nocodeai #opensourceai #fullstackdevelopment #Llama31 #togetherai #nextjs #tailwindcss #Sandpack #Helicone #Plausible #CodeSandbox

📌 *Hashtags:*
#LlamaCoder #NoCode #OpenSource #FullStackApp #TechTutorial #Llama31
Transcript

#coding #generativeai #copilot #llama3 #ai #llm #largelanguagemodels #largelanguagemodel #llms #artificialintelligence #machinelearning #programming #codinglife #programmer #tutorial #education #youtube #youtubetutorial #youtubetutorialforbeginners #youtubetutorials #artificialintelligencetechnology #meta #llama

[JustArtsCreations]

I really hate calling out click bait but the video thumbnail and title imply this can be run 100% locally on 8 GB of ram which simply is not true using the 405 B Parameter model.

8 GB of ram cant even run the 12 B parameter model locally? Like not even close..

Edit: as per Meta to run the 405B locally at its LOWEST quantization you need at least 149 GB of RAM. Minimum.

On 8 GB of ram locally ran you can use the 8B parameter model (and not well)