@thatbrickster if you have a discrete nvidia gpu I think you can find models that will run on how much RAM you have, not sure. otherwise if you want to experiment you can run smaller models on a CPU and it's just kind of slow.
@thatbrickster ohhh yeah I am learning how to do that. one hint I can give you is training a model from scratch is probably a lot less feasible than finding one and fine-tuning it.
@sun I have a machine with a discrete GPU but that wasn't quite the question. I'm aware of the models, I'm not aware of how to train my own from scratch.
@meeper@sun@thatbrickster There is no "open drivers", just a MIT expat shim that facilitates GPLv2-infringement of the driver that runs on the GPU.
Previously there was a GPLv2-infringing shim and part of the driver ran in userspace and another part ran on the GPU - so there is no real difference.
There is a free software driver available called nouveau, although any re-clocking support is via reverse engineering and only up to the 700 series has free peripheral software for the GPUs - anything after the 700 series is designed to maliciously refuse to spin up the fans unless proprietary software that passes a signature check (to make it cryptographically impossible to replace it with free software) is loaded up onto the card.