Proposed architecture for inferencing sparse MOE models increasing Active parameters using layered + linear decay. Succinct reasoning without any model training or fine tune. [p]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
I ported MoE expert expansion to llama.cpp 🚀
Run MoE models with MORE routed experts than the native top-K (8->x), adaptive threshold, 99→50% influence decay, layer range. Runtime-only, all backends.
Tested on Qwen 3.6 35B A4B+
https://github.com/vagrillo/llama.cpp/blob/moe-expansion/docs/moe-expansion.md
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