Instructions to use NORTHWEST-WOLF/Wan2.2-TI2V-5B-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NORTHWEST-WOLF/Wan2.2-TI2V-5B-FP8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NORTHWEST-WOLF/Wan2.2-TI2V-5B-FP8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Wan2.2-TI2V-5B-FP8
FP8 safetensors artifact of Wan2.2-TI2V-5B.
MECHA Forge
MECHA — Model Engineering & Contextual Hearth Assembly
This package was created in the MECHA Forge.
Quantization Details
- Base model:
Wan2.2-TI2V-5B - Format: FP8
- Quant backend: TorchAO
- TorchAO method:
float8_weight_only
Load with:
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained(
"yourname/Wan2.2-TI2V-5B-FP8",
device_map="auto",
)
Requires a compatible torchao installation.
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