Instructions to use lekh-ai/ltx-2.3-mlx-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use lekh-ai/ltx-2.3-mlx-q8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.3-mlx-q8 lekh-ai/ltx-2.3-mlx-q8
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- aec1918d71536467cf71f5546c42d6bbe894f0a06115134f2a127d821301c6a4
- Size of remote file:
- 7.61 GB
- SHA256:
- 2943ab994f3c9d88052e5a2a34cca14e4a2dfc36b1d8c407931d52d5c25dd72b
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