Wan2.2-Animate-14B-GGUF GGUF download | Hugging Bay

Q: What is this model?

QuantStack/Wan2.2-Animate-14B-GGUF is an open-weights language model for video to video published by QuantStack, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for video to video: QuantStack/Wan2.2-Animate-14B-GGUF · gguf

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

QuantStack/Wan2.2-Animate-14B-GGUF has 14B parameters. Hosted here: 5 files, 58.3 GB. Full repo upstream: 126.8 GB. The recommended download, Wan2.2-Animate-14B-Q4_K_M.gguf (Q4_K_M), is 11.5 GB.

Q: What can I download here?

Hosted here: 5 files, 58.3 GB. Full repo upstream: 126.8 GB. The original release is at https://huggingface.co/QuantStack/Wan2.2-Animate-14B-GGUF.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-quantstack-wan2-2-animate-14b-gguf/safety on Hugging Bay.

Q: Will QuantStack/Wan2.2-Animate-14B-GGUF run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

QuantStack

Wan2.2-Animate-14B-GGUF

QuantStack/Wan2.2-Animate-14B-GGUF

video to videoLicense: apache-2.0Hashes recordedGGUF

Content controls: not assessed.

Model from Hugging Face for video to video: QuantStack/Wan2.2-Animate-14B-GGUF · gguf

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Machine-readable artifact endpoints

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Wan2.2-Animate-14B-GGUF

Machine-readable artifact endpoints

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