Instructions to use dgrauet/void-model-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dgrauet/void-model-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir void-model-mlx dgrauet/void-model-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| library_name: mlx | |
| license: apache-2.0 | |
| base_model: netflix/void-model | |
| tags: | |
| - mlx | |
| - mlx-forge | |
| - apple-silicon | |
| - safetensors | |
| # dgrauet/void-model-mlx | |
| MLX format conversion of [netflix/void-model](https://huggingface.co/netflix/void-model). | |
| Converted with [mlx-forge](https://github.com/dgrauet/mlx-forge). | |
| ## Usage | |
| These weights can be used with [void-model-mlx](https://github.com/dgrauet/void-model-mlx). | |
| ## Related Projects | |
| - **void-model-mlx (inference):** https://github.com/dgrauet/void-model-mlx | |
| - **VideoX-Fun-mlx (engine):** https://github.com/dgrauet/VideoX-Fun-mlx | |
| - **Base model weights:** https://huggingface.co/dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx | |
| - **q8 variant:** https://huggingface.co/dgrauet/void-model-mlx-q8 | |
| - **q4 variant:** https://huggingface.co/dgrauet/void-model-mlx-q4 | |
| ## Files | |
| - `config.json` (376.00 B) | |
| - `void_pass1.safetensors` (10.38 GB) | |
| - `void_pass2.safetensors` (10.38 GB) | |