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[GH-ISSUE #5] Ablation study? #3
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Originally created by @jukofyork on GitHub (Jul 27, 2024).
Original GitHub issue: https://github.com/kvcache-ai/ktransformers/issues/5
It would be interesting to see the effect of each optimisation separately.
Some of the ideas might be very easy to use in other inference engines and others much harder to implement, so it would be very helpful to get an idea of the gains for each feature separately.
I've linked this to the
llama.cppdiscussions:https://github.com/ggerganov/llama.cpp/discussions/8721
As the "Arithmetic Intensity Guided Offloading" is clearly something they could do quite easily and likely give a significant boost to MoE models.
@james0zan commented on GitHub (Jul 27, 2024):
Yes, we will present more results later. Actually, our vision for KTransformers is to serve as an experimental platform used to develop prototypes faster. The more mature ones can then be adopted into more popular inference engines like llama.cpp and vLLM.
@ErvinXie commented on GitHub (Dec 11, 2025):
This issue has been automatically closed due to inactivity for 60 days.
If you believe this issue is still relevant, please feel free to reopen it with additional information or context.
Thank you for your contribution to KTransformers!
此 issue 因超过 60 天无活动而被自动关闭。
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probability tensor contains eitherinf,nanor element < 0failed. #327