---

license: apache-2.0

base_model: ProCreations/grug-27b-v1.1-mtp

tags:

• grug
• gguf
• mtp
• speculative-decoding
• llama.cpp

language:

• en

pipeline_tag: text-generation

---

grug-27b-v1.1-mtp — GGUF

grug in box, with draft head still inside. same weight as

ProCreations/grug-27b-v1.1-mtp.

normal grug GGUF throw the MTP head away (--no-mtp) because it just make file

bigger for nothing. this build keep it, as blk.64.nextn.* tensor, so engine

that do speculative decoding can guess ahead.

| file | size | vs no-mtp build |

|---|---|---|

| grug-27b-v1.1-mtp-Q8_0.gguf | 29.0 GB | +0.4 GB |

| grug-27b-v1.1-mtp-Q6_K.gguf | 22.4 GB | +0.3 GB |

| grug-27b-v1.1-mtp-Q4_K_M.gguf | 16.8 GB | +0.3 GB |

| mmproj-grug-27b-v1.1-mtp-f16.gguf | 0.9 GB | eyes, same |

the small extra size IS the draft head.

which repo you want

• just run grug -> grug-27b-v1.1-gguf.

smaller, 5 quant, no dead weight.

• speculative decoding -> this one.

draft head only help when your engine actually use it. if your runtime ignore

nextn, you carry 0.3 GB for nothing — take the other repo.

why draft head retuned

Qwen3.8 native head agree with grug verifier 90.04% of time at t+2. grug

retune it on grug own output and get 95.37% — disagree 1-in-21 instead of

1-in-10. higher agree = more draft token accepted = faster.

number is top-1 agreement with verifier, not measured wall-clock speedup.

receipt and method on the

MTP model card.

run

llama-cli -m grug-27b-v1.1-mtp-Q4_K_M.gguf -p "write a function that flattens a nested list"

verified output identical to non-MTP grug. draft head change speed, never answer.

quant load-tested with llama-bench before upload. **use medium reasoning

effort** — full table on the

main card.

apache-2.0.