The results are pretty good; I wish they'd just publish the models so we can run the inference locally (not too many people have access to 8xA100 to train themselves, though I appreciate including the training data and instructions too).
Anyone with a few hundred bucks to spare can do it by renting GPUs from a cloud provider. It only cost Stanford $600 to create Alpaca from LLAMA. $100 to generate instructions with GPT-3 and $500 to rent cloud GPUs. The license restriction is due to the use of GPT-3 output to train a model.
More like $50 or even $5 or less for the cloud GPUs. Alpaca-7B's compute costs were close to $50 and that was before the 100x cost savings of using LoRA.
A 4bit LoRA fine tune of this project would cost less than $5 to train even up to 30B/33B.
I’d love to see a crowdsourcing platform to donate to specific fine-tuning projects. I would gladly throw some money at someone to do the labor and release the models to the public.
If a couple of us get together and throw in some money we could train it on Lambda Labs hardware like the OP suggests. I would volunteer to do it myself but I don’t know enough about training models to guarantee I am not wasting money with a stupid mistake.
Llama may not be licensed for people to share since you need to apply to get one from Facebook for non commercial use. I think it's more of a license issue
Hopefully similar work can be done with LoRA so the fine-tuning is not as expensive
