daboe01
currently these have to be added in code after loading.
@pierpy split the images to your needs before placing them into the training folder
@alifanta just curious, does this loss function work for you? https://github.com/xuuuuuuchen/Active-Contour-Loss/blob/master/Active-Contour-Loss.py
thank you for looking into this. maybe this resource is helpful: http://stackoverflow.com/questions/15912817/computing-the-circularity-of-a-binary-image best whishes, daniel > Am 12.08.2016 um 12:09 schrieb Andrzej Oleś [email protected]: > > Thank you for reporting...
thank you, keep up your great work! > Am 12.08.2016 um 14:33 schrieb Andrzej Oleś [email protected]: > > Dear Daniel, > Thank you for getting back to me, and for...
maybe one training example is not enough for a good finetune?
maybe you are lucky with this one? https://huggingface.co/ozcur/alpaca-native-4bit/tree/main maybe this was generated just before the zeros patch was merged.
cool! do you see any significant improvements from GPTQ?
just curious, would it really work out to fine tune llama with approx. 100 MB text on a Apple M2 Max in say one or two weeks? will this benefit...
could it be that -ngl 1 works only on apple silicon systems? you seem to be on a linux maschine.