If you have 128gb ram, try running MoE models, they're a far better fit for Apple's hardware because they trade memory for inference performance. using something like Wizard2 8x22b requires a huge amount of memory to host the 176b model, but only one 22b slice has to be active at a time so you get the token speed of a 22b model.
I haven’t had great luck with the wizard as a counter point. The token generation is unbearably slow. I might have been using too large of a context window, though. It’s an interesting model for sure. I remember the output being decent. I think it’s already surpassed by other models like Qwen.
Long context windows are a problem. I gave Qwen 2.5 70b a ~115k context and it took ~20min for the answer to finish.
The upside of MoE models vs 70b+ models is that they have much more world knowledge.
I planted garlic this year. Thanks for documenting! I can’t wait to see what I get harvest time.
I like the Llama models personally. Meta aside. Qwen is fairly popular too. There’s a number of flavors you can try out. Ollama is a good starting point to try things quickly. You’re def going to have to tolerate things crashing or not working imo before you understand what your hardware can handle.
