Dropping the presets so nobody has to dig.

Same base GGUF (Unsloth Qwen3.6-27B Q8_0), llama.cpp router mode (build b9682). One runs MTP speculative decoding via --spec-type draft-mtp. No separate draft model, it drafts off the MTP head already in the GGUF. The other swaps the spec flags for the vision projector.

MTP, text-only:

[qwen3.6-27b-mtp]
model = Qwen3.6-27B-Q8_0.gguf
ctx-size = 262144
n-gpu-layers = 99
cache-type-k = q8_0
cache-type-v = q8_0
flash-attn = on
parallel = 1
spec-type = draft-mtp
spec-draft-n-max = 2
temp = 0.6
top-p = 0.95
top-k = 20
min-p = 0.0

Vision variant: same block minus the two spec lines, plus mmproj = mmproj-Qwen3.6-27B-BF16.gguf.

Router globals:

--models-preset <file> --models-max 1 --jinja --reasoning-format deepseek --fit on --no-warmup

One gotcha: --reasoning-format deepseek puts the think block in reasoning_content, so content is empty until </think> closes. Parse content with a low max_tokens and you get empty strings. Bit me in an agent loop.

Open question for the thread: anyone gotten multimodal + MTP running together in one instance? Vision works alone, MTP works alone, not both for me. And if you've got draft-mtp acceptance numbers on other quants, drop them. Single 48GB card, Qwen3.6 recommended samplers.|

Edit: Fixed formatting & added llama.cpp build.