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Comment by cuuupid | Hacker News Reader

I think OP mischaracterized the issue with the license, its more that the weights don’t fall under the same scope. They’re research use only, no commercial use allowed.

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Yeah, this is weird, because there are plenty of open source implementations of the lama model on github - alpaca.cpp in c++ is one, there are many others in PyTorch such as the one used by ChatLLaMa. But without the weights they're not very useful (unless you're going to try to train it yourself - good luck with that unless you've got a lot of compute power available).

A quick check on github and I find this one also with an Apache license: https://github.com/chris-alexiuk/alpaca-lora and alpaca.cpp with an MIT license: https://github.com/antimatter15/alpaca.cpp/blob/master/LICEN...

Not sure, but I think the point was that if you have something in GPL license (like the code in this case) it's open source, but that doesn't mean you can use that for your business application. That's because GPL requires you open sourcing all derivative work and most businesses don't want to/can't do that.

The AI ecosystem is almost entirely Apache 2/MIT/BSD, and GPL is just incompatible with it.

This is a blocker to mixing and matching, a simple Apache 2 rewrite fixes that problem.

Weights? It’s another issue but we’ll be looking forward to fixing that too.

How is it incompatible? You can use code under all of those licenses in a GPLd work.

You can’t close down GPL code as you see fit. Irrevocable openness is scary for AI community, it seems.

Telling…

Does AI output constitute derivative work of the AI? Would be interesting…

> They’re research use only, no commercial use allowed.

if you agreed to Facebook's contract. If you haven't, it's either public domain or copyright infringement.

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