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+--- Thread: comparing models without fooling yourself (/showthread.php?tid=986)
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Re: comparing models without fooling yourself - griffinloom66 - 10-19-2026
Quote:Thanks, that helps. The pattern around structured output has been pretty similar for me. I got better results once I stopped chasing one metric and ju
I'd approach it in a boring order. If you're on PyTorch, I'd confirm the version first and then reduce variables until the behavior is obvious. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
Re: comparing models without fooling yourself - cacheline - 10-19-2026
Quote:[quote]Thanks, that helps. The pattern around structured output has been pretty similar for me. I got better results once I stopped chasing one metric
I think the bottleneck is somewhere else. I've seen people blame prefix caching when the real issue was much more mundane. Could be a workload difference, but I wouldn't generalize too fast from one setup.
Re: comparing models without fooling yourself - benchplease - 10-19-2026
What worked for me was pretty simple. On GB200, the easiest win is often to back off the aggressive settings and see whether the problem survives.
Re: comparing models without fooling yourself - cobaltworks25 - 10-19-2026
Quote:What worked for me was pretty simple. On GB200, the easiest win is often to back off the aggressive settings and see whether the problem survives.
Did a small comparison this afternoon. I couldn't reproduce the slowdown until I pushed context much higher. I expected the model choice to matter more than it did.
Re: comparing models without fooling yourself - circuitworks90 - 10-19-2026
I tested this tonight. I couldn't reproduce the slowdown until I pushed context much higher. The main thing that moved was latency, not quality.
Re: comparing models without fooling yourself - deltastation - 10-19-2026
I tested this tonight. My result was mixed: first run looked bad, second run looked normal.