Qwen-Image-2.1-Turbo-Quantized
The base model, Qwen-Image-2.1-Turbo, natively supports uncensored image generation. No built-in safety checker or content filter is applied, and no special settings are needed.
Params
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Context
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daily snapshots · 7 days2.5 M65 K
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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-Q4_0.gguf | Q4_0 | 4.1 GB | 5.0 GB | ✅ Runs comfortably |
| qwen-image-2.1-turbo-Q4_K_M.gguf | Q4_K_M | 4.1 GB | 5.0 GB | ✅ Runs comfortably |
| qwen-image-2.1-turbo-Q5_K_M.gguf | Q5_K_M | 4.9 GB | 5.9 GB | ✅ Runs comfortably |
| qwen-image-2.1-turbo-Q6_K.gguf | Q6_K | 5.9 GB | 7.0 GB | ✅ Runs comfortably |
| qwen-image-2.1-turbo-Q8_0.gguf | Q8_0 | 7.6 GB | 8.9 GB | ✅ Runs comfortably |
| model.safetensors | fp16 | 63.5 GB | 70.3 GB | ❌ Won’t fit |
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
- 2026-09-20
- Training datasets
- undisclosed
- Added to our catalog
- 2026-11-04
Compare with any text-to-image model