Qwen-Image-Edit-Rapid-AIO · Phil2Sat

Qwen-Image-Edit-Rapid-AIO Q3_K_M

This file is exactly 10,049,944,992 bytes — 9.36 GiB / 10.05 GB at an effective 3.935 bits per weight. The nominal rate for Q3_K_M is lower; mixed-precision tensors make the real figure higher, always.

From the file· 1 file(s), summedFrom the file· 1933 tensors parsed

Get it

9.36 GiB · 1 file
llama.cpp
llama-cli -hf Phil2Sat/Qwen-Image-Edit-Rapid-AIO-GGUF:Q3_K_M

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

Hugging Face CLI
hf download Phil2Sat/Qwen-Image-Edit-Rapid-AIO-GGUF v90/qwen-rapid-nsfw-v9.0-Q3_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.

Repository →
Size
9.36 GiB
10.05 GB
Effective bpw
3.935
from real bytes ÷ params
Tensors
1933
Header
0.15 MB
GGUF metadata

What this quantization actually contains

per-tensor types, parsed from the GGUF header
F16
1093
Q3_K
578
Q4_K
232
Q8_0
30

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.