Z-Image-Turbo-GGUF vs Qwen-Image-2.1-viggle-4-steps-turbo-GGUF

Specs, VRAM requirements and download trends — updated 23 October 2026.

unsloth · A · Open weights
Params
—
Context
—
30d
1.1 M
apache-2.0 · commercial OK
Abiray · B · Open weights
Params
7.1 B
Context
—
30d
83 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Z-Image-Turbo-GGUF Qwen-Image-2.1-viggle-4-steps-turbo-GGUF
Parameters — 7.1 B
Architecture — —
Context length — —
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages 1 —
Downloads 30d 1,061,074 83,279
Downloads all time 1.8 M 83 K
Quantizations on the Hub GGUF GGUF
Gated No No
First seen on the Hub 2025-12-21 2026-09-23

Download trend

Daily snapshots, last 88 days (28 Jul – 23 Oct)

1.1 M32 K
Z-Image-Turbo-GGUF Qwen-Image-2.1-viggle-4-steps-turbo-GGUF

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Z-Image-Turbo-GGUF · Q4_0 5.5 GB / 24 GB
✅ Runs comfortably
Qwen-Image-2.1-viggle-4-steps-turbo-GGUF · Q4_K_M 6.2 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons