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comparing models without fooling yourself with PyTorch
#8
Quote:Thanks, that helps. I ended up in about the same place using TensorRT-LLM.

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. Worth testing the simpler explanation before adopting the more interesting one.
measure twice, benchmark three times
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Re: comparing models without fooling yourself with PyTorch - by cacheline - 10-12-2026, 06:51 PM

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