Alibaba · 6B · Dense
8-step distilled image model — photorealism and bilingual text on 16GB cards
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2025-11 4K context
Use Cases
image
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 2.4 GB | low | — |
| Q3_K_M | 3 | 3.2 GB | moderate | — |
| Q4_K_M | 4 | 3.6 GB | good | — |
| Q5_K_M | 5 | 4.3 GB | good | — |
| Q6_K | 6 | 5.1 GB | excellent | — |
| Q8_0 | 8 | 6.6 GB | excellent | — |
| F16 | 16 | 12.8 GB | lossless | — |
GPUs that run Z-Image Turbo
Z-Image Turbo needs about 3.6 GB of VRAM at Q4_K_M, so it runs comfortably on a GPU with 5 GB of VRAM or more (158 of the GPUs we track). Common cards, smallest first:
| VRAM | GPUs |
|---|---|
| 6 GB | RTX 2060 , Arc A380 , RX 5600 XT |
| 8 GB | RTX 5060 Ti , RX 7600 , Arc A750 |
| 10 GB | RTX 3080 , RX 6700M |
| 11 GB | RTX 2080 Ti , GTX 1080 Ti |
About this model
8-step distilled image model — photorealism and bilingual text on 16GB cards