LoaderD
LoaderD t1_jbw3640 wrote
Reply to [P] vanilla-llama an hackable plain-pytorch implementation of LLaMA that can be run on any system (if you have enough resources) by poppear
> In reality you can easily fit the 65B version in 2 A100 with 100G of VRAM.
Ughhh are you telling me I have to SSH into my DGX 100 instead of just using my local machine with 1 A100? (Satire I am a broke student)
Appreciate the implementation and transparency. I don't think many people realize how big a 65B parameter model is since there's no associated cost with downloading them.
LoaderD t1_j19gjos wrote
Reply to comment by pm_me_your_pay_slips in [P] A self-driving car using Nvidia Jetson Nano, with movement controlled by a pre-trained convolution neural network (CNN) written in Taichi by TaichiOfficial
Shot in the dark, but it looks like the project was for a Taichi Hackathon, so that probably played a large role in the software choice.
LoaderD t1_jegsuar wrote
Reply to comment by ZestyData in [News] Twitter algorithm now open source by John-The-Bomb-2
> Here we have a world-class complex recommendation
...You know this is twitter's recommender system right? All the tweets I interact with are ML related from very 'left' people like Jeremy Howard.
My recommender system could legit be: