Instructions to use lekh-ai/ltx-2.3-mlx-q4 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-q4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.3-mlx-q4 lekh-ai/ltx-2.3-mlx-q4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- fca5735c41013042a3a32d0d2829e403a5c8b094dbe01312d9d21da0db47dac9
- Size of remote file:
- 7.61 GB
- SHA256:
- f5d4953f3386197a4b4f5abdb17616ff256171e8075c111d6e7d2dfa6e823b3a
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