Alibaba · 27B (14B active) · Mixture of Experts
Flagship open Wan 2.2 — 14B-active MoE for photoreal text-to-video Check if your GPU or Mac can run Wan 2.2 T2V A14B locally — 15.1 GB min, 25.1 GB recommended.
2025-074K context
Mixture of Experts
Total experts: 2
Active experts: 1
Active params: 14.0B
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 9.1 GB | low | — |
| Q3_K_M | 3 | 12.6 GB | moderate | — |
| Q4_K_M | 4 | 14.3 GB | good | — |
| Q5_K_M | 5 | 17.8 GB | good | — |
| Q6_K | 6 | 21.2 GB | excellent | — |
| Q8_0 | 8 | 28.2 GB | excellent | — |
| F16 | 16 | 55.8 GB | lossless | — |
Can I run Wan 2.2 T2V A14B locally?
- Can I run Wan 2.2 T2V A14B locally?
- Wan 2.2 T2V A14B needs about 15.1 GB of memory at a minimum and 25.1 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 Wan 2.2 T2V A14B need?
- At Q4_K_M, Wan 2.2 T2V A14B uses about 14.3 GB of VRAM. Higher quants need more memory; lower quants fit tighter cards with a quality tradeoff.