unsloth/Wan2.2-TI2V-5B-GGUF

A mirror of QuantStack/Wan2.2-TI2V-5B-GGUF
(https://huggingface.co/QuantStack/Wan2.2-TI2V-5B-GGUF).
Unsloth has not modified the weights: every file here is byte for byte the file of the same name in the source repository (verified on the Hub's LFS sha256).

The weights derive from Wan2.2-TI2V-5B (https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B),
Copyright 2024-2025 The Alibaba Wan Team Authors, licensed under the Apache License,
Version 2.0. LICENSE is the text the Wan team ships at
https://github.com/Wan-Video/Wan2.2/blob/main/LICENSE.txt, verbatim, appendix placeholder
included. Upstream ships no NOTICE file, so there is nothing further to propagate under
Apache-2.0 section 4(d).

Changes relative to Wan-AI/Wan2.2-TI2V-5B (Apache-2.0 section 4(b)), all of them
QuantStack's work and none of them Unsloth's:

  * the diffusion transformer was quantised to GGUF at 13 precisions (Q2_K, Q3_K_S, Q3_K_M,
    Q4_0, Q4_1, Q4_K_S, Q4_K_M, Q5_0, Q5_1, Q5_K_S, Q5_K_M, Q6_K, Q8_0), which changes the
    numerics;
  * the VAE was converted from the original Wan2.2_VAE.pth to Wan2.2_VAE.safetensors.

Not an official Alibaba Wan Team or QuantStack product, and not endorsed by either.