Qwen-Image-2.1-Turbo-Quantized vs Z-Image-GGUF

Specs, VRAM requirements and download trends — updated 4 November 2026.

abenzerps · A · Open weights
Params
—
Context
—
30d
90 K
unsloth · B · Open weights
Params
6.2 B
Context
—
30d
224 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen-Image-2.1-Turbo-Quantized Z-Image-GGUF
Parameters — 6.2 B
Architecture — —
Context length — —
Licence other apache-2.0
Commercial use Unknown Allowed
Languages — 1
Downloads 30d 89,977 223,824
Downloads all time 2.1 M 513 K
Quantizations on the Hub GGUF, SAFETENSORS GGUF, SAFETENSORS
Gated No No
First seen on the Hub 2026-09-20 2026-01-27

Download trend

Daily snapshots, last 7 days (4 Nov – 10 Nov)

2.5 M18 K
Qwen-Image-2.1-Turbo-Quantized Z-Image-GGUF

VRAM side by side

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

Qwen-Image-2.1-Turbo-Quantized · Q4_0 5.0 GB / 24 GB
✅ Runs comfortably
Z-Image-GGUF · Q4_0 6.5 GB / 24 GB
✅ Runs comfortably
Z-Image-GGUF · fp16 24.0 GB / 24 GB
⚠️ Tight — reduce context
Qwen-Image-2.1-Turbo-Quantized · fp16 70.3 GB / 24 GB
❌ Won’t fit

Adjacent comparisons