Qwen-Image-2.1-Uncensored-Quantized vs Krea-2-Turbo-GGUF

Specs, VRAM requirements and download trends — updated 10 November 2026.

abenzerps · A · Open weights
Params
7.1 B
Context
—
30d
2.5 M
vantagewithai · B · Open weights
Params
—
Context
—
30d
114 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen-Image-2.1-Uncensored-Quantized Krea-2-Turbo-GGUF
Parameters 7.1 B —
Architecture — —
Context length — —
Licence other other
Commercial use Unknown Unknown
Languages — 1
Downloads 30d 2,516,622 114,011
Downloads all time 4.1 M 373 K
Quantizations on the Hub GGUF, SAFETENSORS GGUF
Gated No No
First seen on the Hub 2026-09-20 2026-06-23

Download trend

Daily snapshots, last 29 days (13 Oct – 10 Nov)

2.8 M37 K
Qwen-Image-2.1-Uncensored-Quantized Krea-2-Turbo-GGUF

VRAM side by side

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

Qwen-Image-2.1-Uncensored-Quantized · Q4_0 6.1 GB / 24 GB
✅ Runs comfortably
Krea-2-Turbo-GGUF · Q4_0 8.7 GB / 24 GB
✅ Runs comfortably
Qwen-Image-2.1-Uncensored-Quantized · fp16 71.4 GB / 24 GB
❌ Won’t fit

Adjacent comparisons