video model · wan · Windows
WA Can I run Wan 2.2 T2V A14B on Nvidia GeForce RTX 4080 (16GB)?
Needs ~16 GB at Q4 GGUF, but only ~15 GB is usable on Nvidia GeForce RTX 4080 (16GB). With aggressive CPU offload it can run on as little as ~8 GB, much slower.
Needs ~16 GB at Q4 GGUF, but only ~15 GB is usable on Nvidia GeForce RTX 4080 (16GB). With aggressive CPU offload it can run on as little as ~8 GB, much slower.
- Peak VRAM
- ~16 GB
- Usable on device
- ~15 GB
- Device memory
- 16 GB
- Quant
- Q4 GGUF
- Type
- video (DIT)
- Parameters
- 27B (MoE, 14B active)
- Peak VRAM
- ~16 GB at Q4 GGUF
- Resolution
- 1280×720 (720p)
- License
- Apache-2.0
- Memory
- 16 GB vram
- Usable for weights
- ~15 GB
- Best runtime
- vLLM (Linux) / Ollama (CUDA)
What you can run instead
Run Wan 2.2 T2V A14B on other hardware
FAQ
Can Nvidia GeForce RTX 4080 (16GB) run Wan 2.2 T2V A14B?
Needs ~16 GB at Q4 GGUF, but only ~15 GB is usable on Nvidia GeForce RTX 4080 (16GB). With aggressive CPU offload it can run on as little as ~8 GB, much slower.
How much VRAM does Wan 2.2 T2V A14B need?
Nvidia GeForce RTX 4080 (16GB) does not have enough memory. At Q4 GGUF the realistic peak is ~16 GB of VRAM, versus ~80 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~8 GB, much slower.
What do I use to run Wan 2.2 T2V A14B locally?
Wan 2.2 T2V A14B runs in ComfyUI or Diffusers. It loads as a video diffusion checkpoint plus its text encoder and VAE, not a single chat command.
Sources
VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-06-15. See methodology.