WAN2.2-14B-Rapid-AllInOne · DoorZekor

WAN2.2-14B-Rapid-AllInOne Q6_K

This file is exactly 13,741,647,616 bytes — 12.80 GiB / 13.74 GB at an effective 6.341 bits per weight. The nominal rate for Q6_K is lower; mixed-precision tensors make the real figure higher, always.

From the file· 1 file(s), summedFrom the file· 1303 tensors parsed

Get it

12.80 GiB · 1 file
llama.cpp
llama-cli -hf DoorZekor/WAN2.2-14B-Rapid-AllInOne-GGUF-NSFW-v10:Q6_K

Downloads and runs in one step, resolving the quantization by name.

Hugging Face CLI
hf download DoorZekor/WAN2.2-14B-Rapid-AllInOne-GGUF-NSFW-v10 wan2.2-i2v-rapid-aio-v10-nsfw-Q6_K.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.

Repository →
Size
12.80 GiB
13.74 GB
Effective bpw
6.341
from real bytes ÷ params
Tensors
1303
Header
0.08 MB
GGUF metadata

What this quantization actually contains

per-tensor types, parsed from the GGUF header
F16
821
Q6_K
480
F32
2

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.