Wan2.2-VACE-Fun-A14B · QuantStack

Wan2.2-VACE-Fun-A14B Q8_0

This file is exactly 18,663,274,400 bytes — 17.38 GiB / 18.66 GB at an effective 8.612 bits per weight. The nominal rate for Q8_0 is lower; mixed-precision tensors make the real figure higher, always.

From the file· 1 file(s), summedFrom the file· 1331 tensors parsed

Get it

17.38 GiB · 1 file
llama.cpp
llama-cli -hf QuantStack/Wan2.2-VACE-Fun-A14B-GGUF:Q8_0

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

Hugging Face CLI
hf download QuantStack/Wan2.2-VACE-Fun-A14B-GGUF HighNoise/Wan2.2-VACE-Fun-A14B-high-noise-Q8_0.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
17.38 GiB
18.66 GB
Effective bpw
8.612
from real bytes ÷ params
Tensors
1331
Header
0.08 MB
GGUF metadata

What this quantization actually contains

per-tensor types, parsed from the GGUF header
F32
836
Q8_0
489
BF16
6

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.