Abiray / text-to-image Open weights updated 4 weeks ago

Qwen-Image-2.1-viggle-4-steps-turbo-GGUF

Name: Qwen-Image-2.1-viggle-4-steps-turbo-GGUF
Author: Abiray

This repository contains optimized community GGUF quantizations of Viggle/Qwen-Image-2.1-viggle-turbo, an official 4-step distilled student model of Qwen-Image-2.1 trained by Viggle using Distribution Matching Distillation (DMD).

Params

7.1 B

Context

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Downloads 30d

83 K

Likes

Licence: other Not gated GGUF View on Hugging Face ↗

Download history

daily snapshots · 23 days

83 K32 K

Oct 1Oct 8Oct 16Oct 23

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
qwen_image_2.1_turbo_Q3_K_M.gguf	Q3_K_M	3.2 GB	5.1 GB	✅ Runs comfortably
qwen_image_2.1_turbo_Q4_K_S.gguf	Q4_K_S	4.1 GB	6.0 GB	✅ Runs comfortably
qwen_image_2.1_turbo_Q4_K_M.gguf	Q4_K_M	4.2 GB	6.2 GB	✅ Runs comfortably
qwen_image_2.1_turbo_Q5_K_M.gguf	Q5_K_M	5.0 GB	7.1 GB	✅ Runs comfortably
qwen_image_2.1_turbo_Q6_K.gguf	Q6_K	5.9 GB	8.0 GB	✅ Runs comfortably
qwen_image_2.1_turbo_Q8_0.gguf	Q8_0	7.6 GB	9.9 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Parameters: 7.1 B
Licence: other
First seen on the Hub: 2026-09-23
Base model: Qwen-Image-2.1-viggle-turbo
Training datasets: undisclosed
Added to our catalog: 2026-10-01

Family

Base model and the most-downloaded derivatives in the catalog.

Base Qwen-Image-2.1-viggle-turbo Viggle 528 K

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