video model · wan · macOS
Can I run Wan 2.1 T2V 14B on Apple M4 (16GB)?
Needs ~12 GB at Q4 GGUF, but only ~10.5 GB is usable on Apple M4 (16GB). With aggressive CPU offload it can run on as little as ~8 GB, much slower.
Needs ~12 GB at Q4 GGUF, but only ~10.5 GB is usable on Apple M4 (16GB). With aggressive CPU offload it can run on as little as ~8 GB, much slower.
The gap is about 1.5 GB: Wan 2.1 T2V 14B needs roughly 12 GB and Apple M4 (16GB) leaves only about 10.5 GB usable for a model. The lightest tracked hardware that runs Wan 2.1 T2V 14B is the Nvidia GeForce RTX 4060 Ti (16GB) at 16 GB. See Wan 2.1 T2V 14B on Nvidia GeForce RTX 4060 Ti (16GB).
- Peak VRAM
- ~12 GB
- Usable on device
- ~10.5 GB
- Device memory
- 16 GB
- Quant
- Q4 GGUF
- Type
- video (DIT)
- Parameters
- 14B
- Peak VRAM
- ~12 GB at Q4 GGUF
- Resolution
- 1280×720 (720p)
- License
- Apache-2.0
- Memory
- 16 GB unified
- Usable for weights
- ~10.5 GB
- Power draw
- ~65 W
- Best runtime
- Ollama (MLX backend, preview) / MLX direct
What you can run instead
Run Wan 2.1 T2V 14B on other hardware
FAQ
Can Apple M4 (16GB) run Wan 2.1 T2V 14B?
Needs ~12 GB at Q4 GGUF, but only ~10.5 GB is usable on Apple M4 (16GB). With aggressive CPU offload it can run on as little as ~8 GB, much slower.
How much VRAM does Wan 2.1 T2V 14B need?
Apple M4 (16GB) does not have enough memory. At Q4 GGUF the realistic peak is ~12 GB of VRAM, versus ~40 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 2.1 T2V 14B locally?
Wan 2.1 T2V 14B 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 2026-08-03. See methodology.