Qwen-Image-2.1-Turbo-Quantized vs dvine82-xl

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

abenzerps · A · Open weights
Params
—
Context
—
30d
90 K
martineux · B · Open weights
Params
2.6 B
Context
—
30d
77 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen-Image-2.1-Turbo-Quantized dvine82-xl
Parameters — 2.6 B
Architecture — —
Context length — —
Licence other —
Commercial use Unknown Unknown
Languages — —
Downloads 30d 89,977 77,439
Downloads all time 2.1 M 1.4 M
Quantizations on the Hub GGUF, SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2026-09-20 2026-02-04

Download trend

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

2.5 M43 K
Qwen-Image-2.1-Turbo-Quantized dvine82-xl A overtook B on 9 Nov

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
dvine82-xl · fp16 8.5 GB / 24 GB
✅ Runs comfortably
Qwen-Image-2.1-Turbo-Quantized · fp16 70.3 GB / 24 GB
❌ Won’t fit

Adjacent comparisons