Just noting that HuggingFace has a Llama code implementation[1]. It's also under an Apache 2 license. While this seems to be nice code I don't particularly see

Just noting that HuggingFace has a Llama code implementation[1]. It's also under an Apache 2 license. While this seems to be nice code I don't particularly see any reason to use that over HuggingFace transformers, where you can easily swap out alternative implementations. Also, going to legal restrictions on the Facebook LLama code when there are much stronger restrictions on the use of the model seems an odd thing to do. It's true that in some - not all - jurisdictions it is possible the model might not be copyrightable - but you'd have a bold legal department to rely on those arguments. It's also moderately likely that an instruction-tuned Llama (like Alpaca) would be copyrightable even in those jurisdictions. TL;DR: Use the HuggingFace transformers library. You can experiment with Llama and switch to truly free models like GPT-J or anything new that arrives very easily. [1] https://huggingface.co/docs/transformers/main/model_doc/llama https://huggingface.co/docs/transformers/main/model_doc/llam...