Alibaba · 7B · Dense
Compact unified Qwen image model — generation, 10-reference editing and native transparent images Check if your GPU or Mac can run Qwen Image 2.1 locally — 24.9 GB min, 29.9 GB recommended.
2026-094K context
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 24.9 GB | low | — |
| Q3_K_M | 3 | 25.8 GB | moderate | — |
| Q4_K_M | 4 | 26.2 GB | good | — |
| Q5_K_M | 5 | 27.1 GB | good | — |
| Q6_K | 6 | 28.1 GB | excellent | — |
| Q8_0 | 8 | 29.9 GB | excellent | — |
| F16 | 16 | 37.1 GB | lossless | — |
Can I run Qwen Image 2.1 locally?
- Can I run Qwen Image 2.1 locally?
- Qwen Image 2.1 needs about 24.9 GB of memory at a minimum and 29.9 GB recommended. Open this page to grade it against your GPU or Mac, then run it with runai, Ollama or LM Studio.
- How much VRAM does Qwen Image 2.1 need?
- At Q4_K_M, Qwen Image 2.1 uses about 26.2 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.