Hi, you’ve found this subreddit Community, welcome!
This Community is intended to be a replacement for r/LocalLLaMA, because I think that we need to move beyond centralized Reddit in general (although obviously also the API thing).
I will moderate this Community for now, but if you want to help, you are very welcome, just contact me!
I will mirror or rewrite posts from r/LocalLLama for this Community for now, but maybe we could eventually all move to this Community (or any Community on Lemmy, seriously, I don’t care about being mod or “owning” it).
Hello! This is the one community that I was a bit worried about finding an equivalent of outside of reddit. Hopefully more of us migrate over.
Late to the party, but thanks for setting this up! I suspect the overlap of people both using local LLMs and hungry for reddit alternatives will be higher than average
Hello! Thanks for setting this up
thank you for using a decent platform. i doubt more than 20 people will migrate from reddit… but it make the world a better place, anyways.
You should make a post in !findacommunity@lemmy.ml
I could help with moderation, but I have a question, how to set up LLAma on my mac computer? any tips?
Hi, sure, thank you so much for helping out! As for LLaMA, I would point you at llama.cpp, (https://github.com/ggerganov/llama.cpp) which is the absolute bleeding edge, but also has pretty useful instructions on the page (https://github.com/ggerganov/llama.cpp#usage). You could also use Kobold.cpp, but I don’t have any experience with it, so I can’t help you if you have issues.
Adding to this: text-generation-webui (https://github.com/oobabooga/text-generation-webui) works with the latest bleeding edge llama.cpp via llama-cpp-python, and it has a nice graphical front-end. You do have a manually tell pip to install llama.cpp-python with the right compiler flags to get GPU acceleration working but the llama-cpp-python github and ooba github explain how to do this.
You can even set up GPU acceleration through metal on m1 Macs I’ve seen some fucking INSANE performance numbers online for the higher RAM MacBook pros (20+ tokens/sec, I think with a 33b model, but it might have been 13b, either way, impressive.)
llama cpp is crashy on my computer, it even didn’t compiled.
Huh, that’s interesting. If llama.cpp doesn’t work, try https://github.com/oobabooga/text-generation-webui which (tries to) provides a user-friendly(-ier) experience.
it launches just fine, but when loading a model it says something like: successfully loaded none
Have you put your model in the “models” folder in the “text-generation-webui” folder? If you have, then navigate over to the “Model” section (button for the menu should be at the top of the page) and select your model using the box below the menu.
I tried to download an example one, cus I don’t have any model, failed.
I’d recommend the model Wizard-Vicuna-7b-Uncensored (i know it’s like a sentence https://huggingface.co/TheBloke/Wizard-Vicuna-7B-Uncensored-GGML) direct download link is here: https://huggingface.co/TheBloke/Wizard-Vicuna-7B-Uncensored-GGML/blob/main/Wizard-Vicuna-7B-Uncensored.ggmlv3.q5_1.bin
Try this. It works great for me.
gpt4all is dump, it even didn’t tried to be smart.
