Wan 2.2 Animate 14B on NVIDIA GeForce RTX 4070 SUPER

Can the NVIDIA GeForce RTX 4070 SUPER run Wan 2.2 Animate 14B?

9 pts

No, it doesn’t fit

No. Wan 2.2 Animate 14B needs about 21.3 GB even at Q4 GGUF; the NVIDIA GeForce RTX 4070 SUPER has 12.0 GB usable.

Download Wan 2.2 Animate 14B

Recommended: q4_gguf. Every other precision has its own download link in the table below.

Quantized files · GGUF for ComfyUI

Smaller GGUF versions for ComfyUI (with the ComfyUI-GGUF node). No sign-in needed; the model’s license still applies.

Download the q4_gguf (Q4_K_S) file (opens in a new tab)

huggingface.co/QuantStack/Wan2.2-Animate-14B-GGUF (opens in a new tab)

Original weights · Hugging Face

Full-precision files from Alibaba, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/Wan-AI/Wan2.2-Animate-14B (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Alibaba. The weights themselves download from Hugging Face.

github.com/Wan-Video/Wan2.2 (opens in a new tab)

git clone https://github.com/Wan-Video/Wan2.2

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the F grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	9.8 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	0.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	0.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	0.0 / 15
Total	9.8 / 100	9 ptsWon't run (F) · 9 of 100 points: Model quality 9.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15

It doesn’t fit, so only a reduced share of the quality points counts and fit, speed and memory use score zero.

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every precision on the NVIDIA GeForce RTX 4070 SUPER

Precision	Memory needed	Available	Time per output	Memory mode	Fit	Grade · points	Download
`FP16`	29.8 GB	12.0 GB	—	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)
`FP8`	23.7 GB	12.0 GB	—	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.3/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)
`Q8 GGUF`	24.1 GB	12.0 GB	—	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q4 GGUF`	21.3 GB	12.0 GB	—	—	Won't run	9 ptsWon't run (F) · 9 of 100 points: Model quality 9.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)

Hardware that can run it

80 ptsGreat (A) · 80 of 100 points: Model quality 35.1/45, Memory fit 25.0/25, Speed 5.4/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell FP16 · 23.2 min
78 ptsGreat (A) · 78 of 100 points: Model quality 35.1/45, Memory fit 25.0/25, Speed 3.3/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) FP16 · 60.8 min
77 ptsGreat (A) · 77 of 100 points: Model quality 35.1/45, Memory fit 25.0/25, Speed 1.9/15, Memory use 15.0/15 Apple M4 Max (128 GB) FP16 · 3.1 h
76 ptsGreat (A) · 76 of 100 points: Model quality 35.1/45, Memory fit 25.0/25, Speed 3.2/15, Memory use 13.1/15 NVIDIA GB10 (128 GB) FP16 · 66.0 min
74 ptsGreat (A) · 74 of 100 points: Model quality 34.7/45, Memory fit 23.0/25, Speed 1.8/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q8 GGUF · 3.6 h
74 ptsGreat (A) · 74 of 100 points: Model quality 34.7/45, Memory fit 23.0/25, Speed 1.4/15, Memory use 15.0/15 Apple M1 Max (64 GB) Q8 GGUF · 5.5 h

Models that do run on the NVIDIA GeForce RTX 4070 SUPER

75 ptsGreat (A) · 75 of 100 points: Model quality 22.1/45, Memory fit 23.0/25, Speed 15.0/15, Memory use 15.0/15 LTX-Video 2B FP8 · 42 s
72 ptsGreat (A) · 72 of 100 points: Model quality 19.8/45, Memory fit 23.0/25, Speed 15.0/15, Memory use 15.0/15 CogVideoX 2B FP8 · 1.7 min
70 ptsGood (B) · 70 of 100 points: Model quality 24.3/45, Memory fit 20.0/25, Speed 11.2/15, Memory use 15.0/15 CogVideoX 5B FP8 · 5.3 min
70 ptsGood (B) · 70 of 100 points: Model quality 24.3/45, Memory fit 20.0/25, Speed 11.2/15, Memory use 15.0/15 CogVideoX 5B I2V FP8 · 5.3 min
68 ptsGood (B) · 68 of 100 points: Model quality 24.8/45, Memory fit 20.0/25, Speed 8.9/15, Memory use 15.0/15 Wan 2.1 VACE 1.3B FP16 · 8.6 min

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.