unsloth / text-to-image Open weights updated 1 week ago

Qwen-Image-2.1-Turbo-GGUF

Name: Qwen-Image-2.1-Turbo-GGUF
Author: unsloth

This is a GGUF quantized version of Qwen-Image-2.1-Turbo, the 8-step distilled checkpoint of Qwen-Image-2.1. unsloth/Qwen-Image-2.1-Turbo-GGUF uses Unsloth Dynamic 2.0 methodology for SOTA performance.

Params

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Context

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Downloads 30d

481 K

Likes

Licence: other Not gated GGUF 2 languages View on Hugging Face ↗

Download history

daily snapshots · 12 days

481 K50 K

Oct 12Oct 16Oct 20Oct 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-Q2_K.gguf	Q2_K	2.5 GB	3.2 GB	✅ Runs comfortably
qwen-image-2.1-turbo-Q3_K_S.gguf	Q3_K_S	2.7 GB	3.5 GB	✅ Runs comfortably
qwen-image-2.1-turbo-Q3_K_M.gguf	Q3_K_M	3.2 GB	4.0 GB	✅ Runs comfortably
qwen-image-2.1-turbo-Q3_K_XL.gguf	Q3_K_XL	3.6 GB	4.5 GB	✅ Runs comfortably
qwen-image-2.1-turbo-Q4_K_S.gguf	Q4_K_S	3.9 GB	4.8 GB	✅ Runs comfortably
qwen-image-2.1-turbo-Q4_K_M.gguf	Q4_K_M	4.2 GB	5.1 GB	✅ Runs comfortably
qwen-image-2.1-turbo-Q5_K_M.gguf	Q5_K_M	5.4 GB	6.4 GB	✅ Runs comfortably
qwen-image-2.1-turbo-F16.gguf	GGUF	14.2 GB	16.2 GB	✅ Runs comfortably

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

Specifications

Licence: other
First seen on the Hub: 2026-10-10
Training datasets: undisclosed
Added to our catalog: 2026-10-12

Compare with any text-to-image model

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