grug-27b-gguf
2026-07-23: all rocks re-squeezed from v2.1 weights (deep think on hard problems, stuck-loop escape, stop discipline - full changelog on grug-27b card). re-download if you grab rocks before. mmproj unchanged (vision tower untouched).
grug brain squeezed into small rock. run on your cave computer with llama.cpp.
this GGUF of grug-27b:
Qwen3.6-27B that think in dense grug-speak inside <think>, answer in normal
english. same reasoning depth, way fewer think token. full story on main
model card.
27b and 35b hunt same prey
both parent grug hunt HumanEval and sanitized MBPP. number below come from big parent brain, NOT squeezed GGUF rock. grug not claim rock test it never get. number show pass@1 percent. bold grug win that hunt.
rock sizes
| file | quant | size | grug opinion |
|---|---|---|---|
| grug-27b-Q8_0.gguf | Q8_0 | 28.6 GB | basically bf16. big rock. |
| grug-27b-Q6_K.gguf | Q6_K | 22.1 GB | very good rock |
| grug-27b-Q5_K_M.gguf | Q5_K_M | 19.2 GB | good rock |
| grug-27b-Q4_K_M.gguf | Q4_K_M | 16.5 GB | best size/smart trade. grug pick this. |
| grug-27b-Q3_K_M.gguf | Q3_K_M | 13.3 GB | small rock. smart mostly survive. |
| mmproj-grug-27b-f16.gguf | mmproj f16 | see repo | eye rock. give grug vision back. |
every rock load-tested with llama.cpp before upload. no missing-tensor sickness (grug check twice now, learn from 9b).
Q4 person? special rock exist
grug make QAT version of Q4_K_M: weights trained while feeling 4-bit rounding rock before final squish. better Q4 quality, same grug brain: grug-27b-qat-q4-gguf. rocks here best for Q8/Q6/Q5 people.
if rock act broken
single-token spam ("/" forever etc) = NOT the rock. hybrid DeltaNet brain CANNOT survive llama.cpp context-shift: old builds shift on context overflow and corrupt the recurrent state into token spam. fix:
- use RECENT llama.cpp (qwen3_5 support; new builds refuse instead of shift)
- agent frontends (OpenCode etc): set
-c 16384or bigger - still broken? re-download rock (verify size) + check backend grug re-test rock after every report: loads clean, zero spam at proper config.
how run
need recent llama.cpp (qwen3_5 arch support).
llama-server -m grug-27b-Q4_K_M.gguf -c 16384 --temp 0.6 --top-p 0.95 --top-k 20
- vision NOW work: pair any quant with
mmproj-grug-27b-f16.gguf(llama-server -m grug-27b-Q4_K_M.gguf --mmproj mmproj-grug-27b-f16.gguf). MTP still not included. - context: base support 262144, pick what your RAM allow
- thinking on by default, reasoning arrive inside
<think>...</think> - for agent frameworks (OpenCode etc): works with think-stripped history, grug trained for exactly that world
grug made by ProCreations. base brain by Qwen team.