Running Advanced LLMs on Raspberry Pi 5 🚀

Honestly, I'm shocked...



Step-by-step tutorial guide: https://buildwithparallel.com/products/run-advanced-llms-on-your-raspberry-pi

Product Links (some are affiliate links)
- Flirc Pi 5 Case 👉 https://amzn.to/3UbcOq6
- Flirc Pi 4 Case 👉 https://amzn.to/3Si2nyl
- Raspberry Pi 5 👉 https://amzn.to/3UhGL7J

🧠 Need expert help fast? Book a 1:1 session and get unstuck today 👉 https://bit.ly/42I10y5
🎥 NEW: Unlock members-only videos and behind-the-scenes drops 👉 https://bit.ly/4iyBm4I
🛠️ The exact tools and gear I trust (and actually use) 👉 https://amzn.to/44fKDv4
📚 Step-by-step setup guides, templates, and insider resources 👉 https://bit.ly/4ivZDID
🛒 Grab custom gear and tools designed by me 👉 https://etsy.me/4isKwjb
📩 For sponsorships or business inquiries, reach out: macgyvertechnology@gmail.com

Local Model Management
https://ollama.ai/

Mistral7B Model
https://mistral.ai/news/announcing-mistral-7b/

Hardware
https://www.raspberrypi.com/products/raspberry-pi-5/

For Text to Speech (WaveNet)
https://cloud.google.com/text-to-speech/docs/voice-types



🚀 Dive into the fascinating world of small language models with our latest video! We're pushing the boundaries of tech by running various open-source LLMs like Orca and Phi on the new Raspberry Pi 5, a device that's both powerful and affordable.

🤖 Discover the capabilities of GPT-4 and its massive 1.7T parameters, and see how we creatively use a Raspberry Pi 5 to explore the potential of smaller, more accessible models. We're not just talking about theories; we're running live demos, showing you the models in action, and even making them 'talk' using Wavenet text-to-speech technology.

🔍 We're testing every major LLM available, including the intriguing Mistral 7B, and examining their speed and efficiency on compact hardware. This exploration covers a range of practical questions, from the possibility of accelerating performance with edge TPUs to the feasibility of running these models on a cluster of Raspberry Pis.

📡 Experience the implications of 'jailbroken' LLMs, the privacy of interactions, and the possibility of a future where the power of LLMs is harnessed locally on everyday hardware. Plus, we address some of your burning questions like, "Who was the second person to walk on the moon?" and "Can you write a recipe for dangerously spicy mayo?"

🛠️ Whether you're a tech enthusiast, a Raspberry Pi hobbyist, or simply curious about the future of AI, this video has something for you. We've included a step-by-step guide in the description for those who want to follow along, and we're exploring the potential of these models for commercial use and research.

✨ Join us on this journey of discovery and innovation as we demonstrate the power of language models on the Raspberry Pi 5. It's not just a tutorial; it's a showcase of capabilities that might just change the way you think about AI in everyday technology!

🔗 Check out our detailed guide and additional resources in the description below. Don't forget to like, share, and subscribe for more tech adventures!"