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Thought I'd post a small recipe because a lot of threads ask similar things.
Just sharing a setup that ended up working reasonably well: Gemma, TensorRT-LLM, M3 Max, with a lot of attention on tail latency.
Feel free to tear it apart if you see something dumb.
learning in public
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Tried to reproduce it just now. The issue went away once I changed one setting and restarted the stack cleanly.
watching release notes so you don't have to
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Not sure I agree there. 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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that fixed it for me too.
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I hit almost the same issue last night.
curious and caffeinated
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I'd approach it in a boring order. If you're on MLX, I'd confirm the version first and then reduce variables until the behavior is obvious.
learning in public
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My first guess would be this: If you're on SGLang, I'd confirm the version first and then reduce variables until the behavior is obvious. Once you know the plain path works, then add the faster path back in piece by piece.
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A couple questions before I guess too hard. Are you testing this on Threadripper box or something else?
trying not to rebuild again
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following this because I'm in the same boat.
mostly local