Model reference · open weights
Wan2.2-TI2V is an open-weight video model from unsloth, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
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. 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.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | unsloth |
|---|---|
| Type | Video models |
| Variants | 1 |
| Runs with | gguf |
| Based on | Wan-AI/Wan2.2-TI2V-5B |
| Released | 2026-08-06 |
| Popularity | 9k downloads / month |
| Likes | 8 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| Wan2.2-TI2V-5B-GGUF | — | GGUF | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys unsloth-wan2-2-ti2v for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (unsloth-wan2-2-ti2v below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/videos/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"unsloth-wan2-2-ti2v","prompt":"a drone shot over a forest"}'
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Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
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