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Proposed architecture for inferencing sparse MOE models increasing Active parameters using layered + linear decay. Succinct reasoning without any model training or fine tune. [p]

模型发布
时间与来源
发布
09/06 18:41
收录
09/06 20:00
来源类型
开发者社区
档位
社区
信源状态
正常
档位是按信源手工设定的编辑判断,不是逐条打分。

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