80 tok/sec and 128K context on 12GB VRAM with Qwen3.6 35B A3B and llama.cpp MTP

Reddit user janvitos ran Qwen3.6-35B-A3B-MTP-GGUF with a llama.cpp MTP PR on an RTX 4070 Super. The posted benchmark shows 69.2-81.9 tok/s, 0.694-0.947 draft acceptance, 131072 context, and a -fitt 1536 setting that reserves 1536 MB for the draft model and KV cache.

Why it matters: HKR-H/K/R all pass with concrete single-user benchmark data and reproducible settings. Source is one Reddit post, so verification is thin; this lands above featured threshold, not in must-write range.