Frontier AI On Your Laptop.
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Top Comments (10)
Reminds me of these DOS Overlay Managers in the era of 640k memory limit.
Yeah, and please show us the similar GLM project 🎉
Massive stretch on "It can run on your laptop".
I am starting a blog that will cover some more ideas from the videos, written by me and claude (visual etc.): Here is the first one on DrawfStar (DS4): https://engineerprompt.ai/writing/dwarfstar-4/
This was very interesting so thanks for taking the time to put it together (as well as the graphics). Given that 128GB of unified memory is a more practical target architecture (although I would love the 512GB option - $$$$$) this project offers the opportunity to run high quality models locally that otherwise would be impossible. I have subscribed and will watch this development with great interest. Cheers
This is so exciting! An excellent explanation too! Thank you for sharing.
Awesome! Thanks for this, it's getting quite mad what you can do on your own PC these days ..🐇🍄
Brilliant video thank you, and exciting project! Open source engineers innovating in a deep way on model architecture, pretty mind blowing
First time viewer, thank you YouTube recommendation for leading me here. What an amazing production value. Interesting topic, good script with excellent pacing and delivery. Infographic was clear, and the dashboard with the stats in you demo really makes me envious. Keep it up! I'm here for the ride, subscribing.
Easy to understand and follow, and very informative. Thank you for the breakdown!
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Top Comments (10)
Reminds me of these DOS Overlay Managers in the era of 640k memory limit.
Yeah, and please show us the similar GLM project 🎉
Massive stretch on "It can run on your laptop".
I am starting a blog that will cover some more ideas from the videos, written by me and claude (visual etc.): Here is the first one on DrawfStar (DS4): https://engineerprompt.ai/writing/dwarfstar-4/
This was very interesting so thanks for taking the time to put it together (as well as the graphics). Given that 128GB of unified memory is a more practical target architecture (although I would love the 512GB option - $$$$$) this project offers the opportunity to run high quality models locally that otherwise would be impossible. I have subscribed and will watch this development with great interest. Cheers
This is so exciting! An excellent explanation too! Thank you for sharing.
Awesome! Thanks for this, it's getting quite mad what you can do on your own PC these days ..🐇🍄
Brilliant video thank you, and exciting project! Open source engineers innovating in a deep way on model architecture, pretty mind blowing
First time viewer, thank you YouTube recommendation for leading me here. What an amazing production value. Interesting topic, good script with excellent pacing and delivery. Infographic was clear, and the dashboard with the stats in you demo really makes me envious. Keep it up! I'm here for the ride, subscribing.
Easy to understand and follow, and very informative. Thank you for the breakdown!