A pull request for llama.cpp replaces the SLRU expert cache with a hybrid cache that ranks frequently used experts via decaying usage history. With a warm cache it reports about +6% decode on QFN and +7% on GLM versus SLRU with 8% fewer uploads.
Read it at Reddit →
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