10-17-2026, 06:48 PM
Did a bit of testing and thought I'd post the result here.
I tried this with Phi using MLX on 4090. The headline result was better than I expected, but speculative decoding still ended up being the limiting factor.
Nothing scientific here, just practical notes from a real setup.
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
The part that surprised me was how much the boring details mattered more than the model choice.
I tried this with Phi using MLX on 4090. The headline result was better than I expected, but speculative decoding still ended up being the limiting factor.
Nothing scientific here, just practical notes from a real setup.
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
The part that surprised me was how much the boring details mattered more than the model choice.
learning in public