Z-Image-Turbo · unsloth

Z-Image-Turbo Q3_K_M

This file is exactly 4,186,161,216 bytes — 3.90 GiB / 4.19 GB at an effective 5.441 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· 453 tensors parsed

Get it

3.90 GiB · 1 file
llama.cpp
llama-cli -hf unsloth/Z-Image-Turbo-GGUF:Q3_K_M

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

Hugging Face CLI
hf download unsloth/Z-Image-Turbo-GGUF z-image-turbo-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
3.90 GiB
4.19 GB
Effective bpw
5.441
from real bytes ÷ params
Tensors
453
Header
0.03 MB
GGUF metadata

What this quantization actually contains

per-tensor types, parsed from the GGUF header
F32
245
Q3_K
110
Q4_K
66
BF16
28
Q5_K
3
Q6_K
1

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.