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This is a pretty useless post. You could also follow the same 1000x tutorials about llama and use the already uploaded hugging face formats that are on hugging
by nmitchko 3y ago
This is a pretty useless post. You could also follow the same 1000x tutorials about llama and use the already uploaded hugging face formats that are on hugging face...
Here are some actually useful links
https://blog.ovhcloud.com/fine-tuning-llama-2-models-using-a-single-gpu-qlora-and-ai-notebooks/ https://blog.ovhcloud.com/fine-tuning-llama-2-models-using-a...
https://huggingface.co/meta-llama/Llama-2-70b-hf https://huggingface.co/meta-llama/Llama-2-70b-hf
https://huggingface.co/meta-llama/Llama-2-7b-hf https://huggingface.co/meta-llama/Llama-2-7b-hf
- jeremycarter 3y agoThanks!
- onlypositive 3y agoIs it really "useless" if I didn't even know about llama? And look, now I have 3 more links to dive into. This is the opposite of useless.
- mciancia 3y agoWell it's quite possible that it is useless for you since you didn't hear about llama by now ;)
- hoten 3y agoI guess this was meant as a tongue-in-cheek joke comment, but it comes off as needless gatekeeping.
- deleted 3y ago[deleted]
- onlypositive 3y agoI dunno what's worse, the pointless commentary, needless gatekeeping, the superfluous white knighting or the fact we're getting upvotes for all this nonsense.
- DigiDigiorno 3y agoThree links is not a large number of links, AND you don't "have" to dive into every link in lists of "useful links". That said, I don't think op is useless.
- IAmNotACellist 3y agoAnd it's probably already in TextGen and better UIs for serious stuff than yet another Jupyter notebook.
- alfalfasprout 3y agoHonestly HN has turned into reposting random how-tos about the latest hype LLMs.
- g42gregory 3y agoIf that's what people like, why is that a concern?
- deleted 3y ago[deleted]
- hamilyon2 3y agoHN hyped machine learning long before the current craze cycle
- 3abiton 3y agoI still don't get why it's useless. Maybe less useful, but useless seems to be a hyperbole.
- nmitchko 3y agoFor each step in the article: 1. You should really download the huggingface hosted model. 2. Why convert the model if meta already hosts it here: https://huggingface.co/meta-llama https://huggingface.co/meta-llama 3. This step completely glossed over the hardware requirements. Doesn't explain any of the instructions needed in the finetuning process. 4. "Now run the model". What? What about the model precision, hosting, standard open source tools, etc,etc...