Instructions to use ddalcu/LTX-2.5-MLX-Serve-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ddalcu/LTX-2.5-MLX-Serve-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir LTX-2.5-MLX-Serve-4bit ddalcu/LTX-2.5-MLX-Serve-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 9b86cabe3d37875fd9287db751daa73a03b5008de878dede181563d31839057d
- Size of remote file:
- 110 kB
- SHA256:
- 054b9e6e9d4b8632dd13abe64faded682c344cf9e514813b8d262d0ea94329f1
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