Training a model without a GPU
Training a model without a GPU
Hi, I'm currently starting to learn how LLM works in depth, so I started using nanoGPT to understand how to train a model and I'd like to play around with the code a little more. So I set myself a goal to train a model that can write basic French, it doesn't to be coherent or deep in its writing, just French with correct grammar. I only have a laptop that doesn't have a proper GPU, so I can't really train a model with billions of parameters. Do you think it's possible without too much dataset or intensive training? Is it a better idea if I use something different from nanoGPT?
TLDR: I'd like to train my own LLM on my laptop which doesn't have a GPU. It's only for learning purpose, so my goal is that it can write basic French. Is it doable? If it is, do you have any tips to make this easier?
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If you want to learn machine learning, you could maybe play around with the examples recognizing single digit handwritten numbers with that MNIST dataset or something in that kind of league.
I think training an LLM that can be somewhat useful will be way out of scope with the RAM and computing capabilities such a laptop has to offer. Maybe correct grammer if you don't care to wait for a long long time. Something with the level of intelligence of autocomplete. But definitely not coherent or intelligent or answering your questions.
You could rent a VM in the cloud. Services like runpod.io or vast.ai offer you a proper GPU for like $2 an hour. There is also Amazon, Google, Azure, Lambda...
Do cloud services see everything - text/images data for training? And finished trained model? If so, runpod.io etc are no solution.