Qwopus3.6-27B-v2-MTP-GGUF · infosave
Qwopus3.6-27B-v2-MTP-GGUF Q4_K_M
This file is exactly 9,374,507,456 bytes — 8.73 GiB / 9.37 GB at an effective 2.745 bits per weight. The nominal rate for Q4_K_M is lower; mixed-precision tensors make the real figure higher, always.
From the file· 1 file(s), summedFrom the file· 866 tensors parsed
Get it
8.73 GiB · 1 file
llama.cpp
llama-cli -hf infosave/cortiq_qwopus_dev:Q4_K_M
Downloads and runs in one step, resolving the quantization by name.
Hugging Face CLI
hf download infosave/cortiq_qwopus_dev qwopus-nvg-12b-Q4_K_M.gguf
Direct download
Straight from the Hugging Face CDN — we host nothing and earn nothing from this. Verify what you received against the exact byte count above; a size mismatch is the usual cause of a file that will not load.
Size
8.73 GiB
9.37 GB
Effective bpw
2.745
from real bytes ÷ params
Tensors
866
Header
10.99 MB
GGUF metadata
What this quantization actually contains
per-tensor types, parsed from the GGUF header
Q4_K
439
F32
360
Q6_K
67
A quantization label names a mixture, not a uniform precision. Attention and output tensors are routinely kept at higher precision than the label implies, which is exactly why the effective bits-per-weight above exceeds the nominal rate.