Rendered at 19:31:23 GMT+0000 (Coordinated Universal Time) with Cloudflare Workers.
yu3zhou4 23 hours ago [-]
README is in my opinion (author here) the most interesting - I wrote it to help others build useful mental model to be able to recreate the project yourself, without need to even read my code
lukemerrick 4 hours ago [-]
I am not super familiar with C and CUDA, so I read solely for the README and enjoyed it supremely. The blend of cheerful walking through instructive examples and your philosophical takes on how to approach the exercise to get the most out of it put me in a great mood. You captured that special upbeat attitude that comes about when you're doing something as well as you can just because it's so legitimately interesting to you.
janalsncm 17 hours ago [-]
Really practical teaching approach. I clicked in to see how safetensors are loaded and just kept reading. Thanks for sharing.
tom-wal 11 hours ago [-]
I feel like I learned twice as much in 10 minutes reading this than I did reading LLM for Dummies. Thank you
xuanlin314 17 hours ago [-]
The lesson-style README is a great approach. Breaking down LLM inference into digestible steps makes the codebase approachable even for people who haven't touched CUDA before.
dwa3592 21 hours ago [-]
Very nice job on read me.
>>Physically, LLM is a file which contains a lot of float numbers.
aka atoms of the LLM.
cyanydeez 21 hours ago [-]
the universe is just atomic if statments
nullpoint420 12 hours ago [-]
it from bit
GoldenJade 17 hours ago [-]
Thanks for sharing this. As someone currently researching LLMs, I'm sure I'll be referencing this quite a bit going forward.
juancn 22 hours ago [-]
Looks interesting, it reminds me of the first llama.cpp, but better documented.
nazgulsenpai 23 hours ago [-]
I love the documentation formatted in lessons. I can't wait to read through it.
cookiengineer 21 hours ago [-]
Wanted to add that the author has an amazing blog with lots of interesting papers: https://jedrzej.maczan.pl/
smy_smy 3 hours ago [-]
interesting!
sylware 10 hours ago [-]
I am looking at a plain and simple C implemented LLM inference, and/or x86_64 assembly implemented, and/or AMD GPU RDNA assembly.
Anybody?
irishcoffee 6 hours ago [-]
I heard once that c++ can become assembly at some point if you type the right things in. :)
einpoklum 21 hours ago [-]
It seems the author believes checking the return values of CUDA API calls is not "tiny" enough :-(
>>Physically, LLM is a file which contains a lot of float numbers.
aka atoms of the LLM.
Anybody?