Files
colibri/c
woolcoxm 413b370fbf experiment: EXPERT_BUDGET=N — cap distinct experts/layer, up to 1.8x faster decode
Add EXPERT_BUDGET env var that caps the number of distinct experts loaded
per layer across the batch-union. When the union exceeds the budget, keeps
only the highest-aggregate-gate-weight experts and drops the rest from
idxs[] so they're never loaded from disk.

Complementary to TOPP (per-position) — this trims the cross-position union
that multiplies under MTP/prefill. Based on MoE-Spec (arXiv 2602.16052):
'top 32 of 64 experts capture 93% of routing weight.'

Measurements (GLM-5.2 744B, 24GB RAM, cap=2, MTP=0, 32 tokens):
  Baseline (budget=0):  0.18 tok/s, 9.3% hit,  176s decode, 39s prefill
  EXPERT_BUDGET=12:     0.19 tok/s, 14.0% hit, 171s decode, 12s prefill
  EXPERT_BUDGET=6:      0.26 tok/s, 21.0% hit, 123s decode,  7s prefill
  EXPERT_BUDGET=4:      0.33 tok/s, 16.4% hit,  97s decode,  9s prefill

Budget=4 nearly doubles decode speed (+83%) and 4x's prefill speed by
halving disk reads per layer. Default OFF (EXPERT_BUDGET=0).
2026-07-15 02:34:57 -04:00
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