Can the GeForce RTX 3090 run Wan 2.2 (A14B & TI2V-5B)?
Wan 2.2 A14B needs a 24 GB GPU to generate video locally at Q4_K_M, which requires about 21.8 GB of VRAM for the 27-billion-total-parameter Mixture-of-Experts diffusion model plus activation overhead. The smaller Wan 2.2 TI2V-5B (5B dense) runs on 12 GB GPUs at Q4 with about 7.4 GB of VRAM needed.
At Q4_K_M quantization with 4,096 context, the Wan 2.2 (A14B & TI2V-5B) requires approximately 21.82GB of VRAM. The GeForce RTX 3090 has 24GB available (2.18GB headroom).
VRAM Breakdown
| Component | Size (GB) | Source |
|---|---|---|
| Model weights (Q4_K_M) | 16.2 | calculated |
| Loading overhead (10%) | 1.62 | calculated |
| Activation overhead | 4.0 | vendor_spec |
| Total required | 21.82 | |
| GPU memory available | 24 | vendor_spec |
| Headroom / shortfall | +2.18 |
Quantization Options
| Quant | Weights (GB) | Total @ 4K (GB) | Total @ 32K (GB) | Fits GeForce RTX 3090? |
|---|---|---|---|---|
| Q4_K_M | 16.2 | 21.82 | 21.82 | Yes |
| Q5_K_M | 19.24 | 25.16 | 25.16 | No |
| Q6_K | 22.28 | 28.51 | 28.51 | No |
| Q8_0 | 28.69 | 35.56 | 35.56 | No |
| FP16 | 54 | 63.4 | 63.4 | No |
Get the GeForce RTX 3090
Affiliate link — we earn a commission on qualifying purchases at no cost to you.
If It Doesn't Fit: Alternatives
Same GPU, Other Models
Frequently Asked Questions
Can the Wan 2.2 (A14B & TI2V-5B) run on 24GB VRAM?
Yes. At Q4_K_M quantization with 4K context, the Wan 2.2 (A14B & TI2V-5B) needs approximately 21.82GB. Your 24GB of usable memory has 2.18GB headroom.
What is the maximum context length I can use on the GeForce RTX 3090?
The Wan 2.2 (A14B & TI2V-5B) supports up to 32,768 tokens of context. Larger context increases KV-cache memory requirements. At 4K context the model needs ~21.82GB; at 32K it needs more.
Which quantization should I use with the GeForce RTX 3090?
Q4_K_M is the recommended starting point — it offers the best speed-to-quality tradeoff. If you have VRAM headroom, Q6_K or Q8_0 improves quality at the cost of speed. FP16 is only for inference servers with ample memory.
Can an RTX 4090 run Wan 2.2 14B?
Yes, at GGUF Q4_K_M quantization the Wan 2.2 A14B weights need about 17.8 GB, which fits the RTX 4090’s 24 GB together with 4 GB of activation overhead at 480p. The official model card recommends --offload_model for single-GPU runs.
How much VRAM does Wan 2.2 need?
Wan 2.2 A14B needs about 21.8 GB of VRAM at Q4_K_M and about 63.4 GB at FP16 for 720p latents, because all 27B MoE parameters stay in memory even though only 14B are active per step, according to the Wan 2.2 model card.
Related Pages
Full Wan 2.2 (A14B & TI2V-5B) fit page · All AI models · GeForce RTX 3090 specs · VRAM calculator
VRAM figures are calculated from model architecture parameters using established formulas. Benchmark data is measured and cited per row. GPU memory is vendor_spec from manufacturer datasheets.