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It's a giant mess. Even the technical vidoes tend to be theoretical, and are either obsolete or do nothing to help you actually run them.
I would know nothing if I hadn't been following the community since the Pygmalion/ESRGAN days
I've spent the past 2 years looking for the open source AI community, but haven't really found it. I've tinkered with Stable Diffusion and Ollama and I want to learn more, but haven't found the right places online yet.
And just to be more helpful, I can point you in the right direction depending on your hardware.
Yeah, I hate Discord too but that has been the best place I've found the best information, but even then it doesn't really feel like a community.
I'm running on an Apple M1 at the moment, likely to upgrade to an M4 when it is released.
What RAM capacity?
Honestly, if LLMs are your focus, you should just upgrade to a used M2 Max (or Ultra) when the M4 comes out, lol. Basically the only thing that matters is RAM capacity and bandwidth, and the M2 is just going to be faster and better than a similarly priced M4.
Or better yet, upgrade to and AMD Strix Halo. This will buy you into linux and the cuda ecosystem (through AMD rocm), which is going to open a lot of doors and save headaches (while admittedly creating other headaches).
Honestly I've mostly been playing around with image generators and learning how to write a good prompt. But LLMs are where I see real value and would love to learn more about self-hosting one, and custom training it.
I find it interesting that the M2 is better for LLM than the M4 will be... what's the reason for this?
RAM capacity and bandwidth.
That basically the only two things that matter for local LLM performance, as it has to read the entire model from memory for every token (aka half word). And for the same money, a "higher end" M2 (like an M2 Max or Ultra) will just have more of it than the equivalent cost M3 or (probably) M4.