Qwen-Image-2.1-Turbo-Quantized vs Krea2_FP8

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

abenzerps · A · Open weights
Params
—
Context
—
30d
90 K
AlperKTS · B · Open weights
Params
—
Context
—
30d
97 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen-Image-2.1-Turbo-Quantized Krea2_FP8
Parameters — —
Architecture — —
Context length — —
Licence other other
Commercial use Unknown Unknown
Languages — —
Downloads 30d 89,977 97,380
Downloads all time 2.1 M 378 K
Quantizations on the Hub GGUF, SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-09-20 2026-06-22

Download trend

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

2.5 M49 K
Qwen-Image-2.1-Turbo-Quantized Krea2_FP8

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
Krea2_FP8 · fp16 20.7 GB / 24 GB
⚠️ Tight — reduce context
Qwen-Image-2.1-Turbo-Quantized · fp16 70.3 GB / 24 GB
❌ Won’t fit

Adjacent comparisons