Wan 2.2 T2V A14B (wan family)
Parameters: 27 B (active: 14 B)
Mixture-of-experts: yes
Release: 2025-07
Modality: video
Model license: Apache-2.0 (commercial use: yes)
Architecture: dit (backbone 27 B)
Backbone size (GB by quant):
fp16: 57.2
fp8: 28.6
q8: 30.8
q4: 19.3
q2: 10.6
Additional components: name: umT5-XXL text encoder
fp16_gb: 11.4
fp8_gb: 6.74
q4_gb: 3.66
offloaded: yes
VAE size: 0.51 GB
Default output: 1280×720 (720p), 81 frames (~5 s)
Recommended setup: gb: 16
quant: Q4 GGUF
Memory without offload: 80 GB; offload floor: 8 GB
Device classes: nvidia, amd
Tools: ComfyUI, Diffusers
Notes: Wan 2.2's flagship: a Mixture-of-Experts video model with two 14B experts (high-noise + low-noise), 27B total / 14B active per step. Both experts must be available, so GGUF Q4_K_M is ~19GB across the pair; full bf16 needs ~80GB. With ComfyUI sequential expert loading + T5 on CPU, peak lands around 12-20GB on a 24GB card (10-15 min per clip). Apache-2.0, commercial OK. Anchor is the GGUF Q4 path (synthesis). Sources: Wan-AI card, QuantStack GGUF, Wan2.2 repo.