MoE expert scaling debate resurfaces on LocalLLaMA

MoE expert count tuning is one of those knobs that sounds powerful but lacks systematic community benchmarking — this thread reflects the gap between configurability and documented results.

• –Qwen3-30B-A3B activates 3 of 30 experts per token; bumping to 6 doubles compute but may improve coherence on complex tasks
• –The lack of ongoing experimentation likely reflects that gains are marginal or inconsistent across tasks
• –llama.cpp exposes this as a simple flag, but without reproducible benchmarks, most users leave it at default
• –This is a niche but genuine research gap — structured ablations comparing A3B vs A6B on standard evals would be genuinely useful