Instructions to use dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir CogVideoX-Fun-V1.5-5b-InP-mlx dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Upload CogVideoX-Fun-V1.5-5b-InP MLX (bf16)
Browse files
README.md
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---
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library_name: mlx
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license:
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base_model: alibaba-pai/CogVideoX-Fun-V1.5-5b-InP
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tags:
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- mlx
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Converted with [mlx-forge](https://github.com/dgrauet/mlx-forge).
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## Files
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- `config.json` (2.78 KB)
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library_name: mlx
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license: apache-2.0
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base_model: alibaba-pai/CogVideoX-Fun-V1.5-5b-InP
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tags:
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- mlx
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Converted with [mlx-forge](https://github.com/dgrauet/mlx-forge).
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## Usage
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These weights can be used with [VideoX-Fun-mlx](https://github.com/dgrauet/VideoX-Fun-mlx).
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## Related Projects
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- **VideoX-Fun-mlx (inference code):** https://github.com/dgrauet/VideoX-Fun-mlx
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- **mlx-forge (conversion tool):** https://github.com/dgrauet/mlx-forge
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- **mlx-ops (MLX utilities):** https://github.com/dgrauet/mlx-ops
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- **q8 variant:** https://huggingface.co/dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx-q8
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- **q4 variant:** https://huggingface.co/dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx-q4
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## Files
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- `config.json` (2.78 KB)
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