Hi there! Based on recent shocking Google's paper TurboQuant to drastically save VRAM... If you’ve ever wanted to play around with better AI models but didn’t want to drop cash on a fancy setup, check out Quansloth https://github.com/PacifAIst/Quansloth. It’s a super user-friendly tool with a GUI, so you don’t need to be a tech whiz to get it running. Perfect for home users who just want to experiment without the hassle. No need for a high-end PC or complicated setups—just download, tweak, and go. I’ve been messing around with it, and it’s a solid way to try out models that usually require more power. Also license is Apache 2.0, so it's free
Simply download, adjust, and go—no intricate settings or expensive PC are required. I've been experimenting with it, and it's a good method to test out models that often need more power. It's also free because the license is Apache 2.0.
Yeah dude it is great and works like a charm. I'm no longer getting crashed when evaluate my models with WAY BIGGER context window. It also has a tiny button to copy all the conversation, very useful. Quansloth should get many GitHub stars I guess but it was just released yesterday
You don't need a fancy PC or complicated settings; simply download, tweak, and go. It's a useful way to try out models that frequently require more power, based on my experiments. Because of the Apache 2.0 license, it is also free.
You just need to download, adjust, and go—no fancy computer or complex settings are required. Based on my experiments, it's a practical technique to test models that often need more power. It is also free due to the Apache 2.0 license.