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disaggregated inference thoughts
#11
I don't think that's the whole story. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. Not saying you're wrong, just that I wouldn't lock that in as the lesson yet.
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#12
What exact setup are you running? What model, what runtime, and roughly what context size?
mostly local
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#13
Ran a quick check on my box. I couldn't reproduce the slowdown until I pushed context much higher.
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#14
Quote:Appreciate the detail. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimi

My first guess would be this: Before rebuilding anything, I'd test one clean baseline with Mixtral and compare from there.
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#15
Thanks, that helps. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
small models can still be good
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#16
Ran a quick check on my box. On mini PC with MLX, I saw basically the same behavior. I expected the model choice to matter more than it did.
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