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Did a bit of testing and thought I'd post the result here.
I tried this with Phi using vLLM on 7900 XTX. The headline result was better than I expected, but tail latency still ended up being the limiting factor.
Happy to post more details if anyone wants them.
This is mostly for local work rather than public serving.
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Thanks, that helps. I ended up in about the same place using vLLM.
trying not to rebuild again
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What exact setup are you running? Are you testing this on M3 Max or something else?
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I'd start with the simpler stack.
image models by night, local pipelines by day
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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 optimization layer.
learning in public
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My first guess would be this: Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at reranking. Not glamorous advice, but repeatable baselines save a lot of time.
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Maybe, but I had the opposite result. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. Worth testing the simpler explanation before adopting the more interesting one.