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:
- 1a5d206c1375e284a4c967ee59ec544cbcc64778625ae163e0052f04de11ada4
- Size of remote file:
- 1.09 GB
- SHA256:
- e186732be14a71b953efed15181cbb94595fa836555a07b3b7560d6cf5deeb15
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.