Wan2.2-TI2V-5B-GGUF / README.md
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metadata
license: apache-2.0
license_link: https://github.com/Wan-Video/Wan2.2/blob/main/LICENSE.txt
base_model:
  - Wan-AI/Wan2.2-TI2V-5B
language:
  - en
  - zh
library_name: gguf
pipeline_tag: text-to-video
tags:
  - ti2v
  - gguf

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.