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Open-weight model · Text to video

Wan2.2-TI2V-5B-GGUF

by Unsloth AI unsloth/Wan2.2-TI2V-5B-GGUF

Every GGUF quantisation of Wan2.2-TI2V-5B that QuantStack/Wan2.2-TI2V-5B-GGUF publishes, plus the companion VAE, mirrored here.

Parameters
Context
Weights45.4 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads86.3k

Model Card

By Unsloth AI, published under apache-2.0, revision b5c2a3816e70.

Every GGUF quantisation of Wan2.2-TI2V-5B that QuantStack/Wan2.2-TI2V-5B-GGUF publishes, plus the companion VAE, mirrored here. Unsloth Studio offers this repo as the curated one-click GGUF pick for Wan2.2 TI2V 5B, so its availability is Studio's problem rather than the repacker's: a rename or a takedown turns the pick into a 404 no client can work around. All 13 quants are mirrored, not a chosen few, because the picker lets you choose the precision. The weights are unmodified: byte for byte the files of the same name in the source repo. TI2V-5B is a 720P-only checkpoint: the supported sizes are 1280x704 and 704x1280, and its VAE has temporal compression 4, so valid frame counts are 4k+1.…

Read Unsloth AI's full model card

Wan2.2 TI2V 5B, GGUF (mirror)

Every GGUF quantisation of Wan2.2-TI2V-5B that QuantStack/Wan2.2-TI2V-5B-GGUF publishes, plus the companion VAE, mirrored here.

Unsloth Studio offers this repo as the curated one-click GGUF pick for Wan2.2 TI2V 5B, so its availability is Studio's problem rather than the repacker's: a rename or a takedown turns the pick into a 404 no client can work around. All 13 quants are mirrored, not a chosen few, because the picker lets you choose the precision. The weights are unmodified: byte for byte the files of the same name in the source repo.

File Size
Wan2.2-TI2V-5B-Q2_K.gguf 1.73 GiB
Wan2.2-TI2V-5B-Q3_K_S.gguf 2.14 GiB
Wan2.2-TI2V-5B-Q3_K_M.gguf 2.37 GiB
Wan2.2-TI2V-5B-Q4_0.gguf 2.82 GiB
Wan2.2-TI2V-5B-Q4_K_S.gguf 2.90 GiB
Wan2.2-TI2V-5B-Q4_1.gguf 3.03 GiB
Wan2.2-TI2V-5B-Q4_K_M.gguf 3.20 GiB
Wan2.2-TI2V-5B-Q5_K_S.gguf 3.32 GiB
Wan2.2-TI2V-5B-Q5_0.gguf 3.39 GiB
Wan2.2-TI2V-5B-Q5_K_M.gguf 3.55 GiB
Wan2.2-TI2V-5B-Q5_1.gguf 3.60 GiB
Wan2.2-TI2V-5B-Q6_K.gguf 3.92 GiB
Wan2.2-TI2V-5B-Q8_0.gguf 5.03 GiB
VAE/Wan2.2_VAE.safetensors 1.31 GiB

TI2V-5B is a 720P-only checkpoint: the supported sizes are 1280x704 and 704x1280, and its VAE has temporal compression 4, so valid frame counts are 4k+1.

Licence

Apache-2.0, from Wan2.2-TI2V-5B. Full text in LICENSE.

These files are Derivative Works, not a plain copy: the transformer is quantised and the VAE was converted from the original .pth to .safetensors. Apache-2.0 section 4(b) wants that stated, so NOTICE lists every change along with the attribution. Both sets of changes are QuantStack's work. Not an official Alibaba Wan Team or QuantStack product, and not endorsed by either.

Identity and Version

Repository
unsloth/Wan2.2-TI2V-5B-GGUF
Publisher
Unsloth AI
Task
Text to video
Modality
Video
Library
gguf
Parameters
Not stated by the source
Languages
en, zh
Revision
b5c2a3816e7056e57e200f6be726fb36ce523b49
First published
2026-08-06
Last updated
2026-08-06

Files and Weights

18 files, 45.4 GB in total. The weights are 14 files totalling 45.4 GB in gguf, safetensors.

Weights14 files · 45.4 GB
Documentation3 files · 14.8 KB
Repository1 file · 2.3 KB
Every file
FileTypeSizeSHA-256
VAE/Wan2.2_VAE.safetensorsWeights1.4 GB e40321bd36b9
Wan2.2-TI2V-5B-Q2_K.ggufWeights1.9 GB bebb995b18ad
Wan2.2-TI2V-5B-Q3_K_M.ggufWeights2.5 GB 93cab80a36db
Wan2.2-TI2V-5B-Q3_K_S.ggufWeights2.3 GB 2cc11c77652b
Wan2.2-TI2V-5B-Q4_0.ggufWeights3.0 GB fcf40dd62cb5
Wan2.2-TI2V-5B-Q4_1.ggufWeights3.3 GB dac5c36bf2ae
Wan2.2-TI2V-5B-Q4_K_M.ggufWeights3.4 GB 95b19697b7f9
Wan2.2-TI2V-5B-Q4_K_S.ggufWeights3.1 GB ab4195ecd022
Wan2.2-TI2V-5B-Q5_0.ggufWeights3.6 GB ce3fe1bcc8e2
Wan2.2-TI2V-5B-Q5_1.ggufWeights3.9 GB 5c92f4f14c53
Wan2.2-TI2V-5B-Q5_K_M.ggufWeights3.8 GB 4424633a8765
Wan2.2-TI2V-5B-Q5_K_S.ggufWeights3.6 GB 47a4960ac7ed
Wan2.2-TI2V-5B-Q6_K.ggufWeights4.2 GB 355f6bee35c4
Wan2.2-TI2V-5B-Q8_0.ggufWeights5.4 GB 57bece983817
LICENSEDocumentation11.4 KB
NOTICEDocumentation1.2 KB
README.mdDocumentation2.2 KB
.gitattributesRepository2.3 KB

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
45.4 GB
Download from Unsloth AI

Released by Unsloth AI through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published45.4 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Wan2.2-TI2V-5B-GGUF

Can I use Wan2.2-TI2V-5B-GGUF commercially?

Yes. Wan2.2-TI2V-5B-GGUF is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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