FWIW as someone who "NOOO DOESN'T WANT TO DOWNLOAD 200MB[0] PYTORCH"s i'm glad for those who make alternative minimal/no-dependency stacks that are based on C/C++, like ggml.
[0] 200MB is actually a very generous number, i tried to download some AI thing via pip3 the other day and it wanted 600MB or so of CUDA stuff. Meanwhile i do not even have an Nvidia GPU.
The wheel of CPU-only PyTorch 2.6.0 for Python 3.12 is ~170MiB in size.
It is indeed pretty silly that's not the default and you have to go to https://pytorch.org/get-started/locally/, copy the argument `--index-url https://download.pytorch.org/whl/cpu` to install CPU-only torch. But the alternative would be having the worlds scientists wondering why they can't use their GPUs after `pip install torch` so /shrug
