LocalLLaMA

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

founded 2 years ago

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Hello World (self.localllama)

submitted 2 years ago by SkySyrup to c/localllama

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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).

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[–] pax 1 points 2 years ago (2 children)

I could help with moderation, but I have a question, how to set up LLAma on my mac computer? any tips?

[–] SkySyrup 2 points 2 years ago* (last edited 2 years ago) (2 children)

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.

[–] [email protected] 2 points 2 years ago

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.)

[–] pax 1 points 2 years ago (1 children)

llama cpp is crashy on my computer, it even didn't compiled.

[–] SkySyrup 1 points 2 years ago (1 children)

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.

[–] pax 1 points 2 years ago (1 children)

it launches just fine, but when loading a model it says something like: successfully loaded none

[–] SkySyrup 1 points 2 years ago (1 children)

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.

[–] pax 1 points 2 years ago (1 children)

I tried to download an example one, cus I don't have any model, failed.

[–] SkySyrup 2 points 2 years ago

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

[–] [email protected] 0 points 2 years ago (1 children)

Try this. It works great for me.

https://gpt4all.io/index.html

[–] pax 1 points 2 years ago

gpt4all is dump, it even didn't tried to be smart.