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 Settings
- LM Studio
- Atomic Chat
Restore bf16 weights (revert accidental test upload)
Browse filesCommit 4ab52707 replaced void_pass1/2.safetensors with 65 KB synthetic tensors from a local test run. This restores the 11.1 GB weights and the README from 1bfe381b by server-side copy, and removes the split_model.json that commit introduced.
- README.md +15 -4
- split_model.json +0 -8
- void_pass1.safetensors +2 -2
- void_pass2.safetensors +2 -2
README.md
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---
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library_name: mlx
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license:
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base_model: netflix/void-model
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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` (376.00 B)
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- `void_pass2.safetensors` (64.13 KB)
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---
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library_name: mlx
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license: apache-2.0
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base_model: netflix/void-model
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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 [void-model-mlx](https://github.com/dgrauet/void-model-mlx).
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## Related Projects
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- **void-model-mlx (inference):** https://github.com/dgrauet/void-model-mlx
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- **VideoX-Fun-mlx (engine):** https://github.com/dgrauet/VideoX-Fun-mlx
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- **Base model weights:** https://huggingface.co/dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx
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- **q8 variant:** https://huggingface.co/dgrauet/void-model-mlx-q8
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- **q4 variant:** https://huggingface.co/dgrauet/void-model-mlx-q4
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## Files
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- `config.json` (376.00 B)
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- `void_pass1.safetensors` (10.38 GB)
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- `void_pass2.safetensors` (10.38 GB)
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split_model.json
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{
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"format": "split",
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"components": [
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"void_pass1",
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"void_pass2"
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],
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"source": "netflix/void-model"
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}
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void_pass1.safetensors
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oid sha256:9e026422ebb71db91b3c79e59a974a1f9d5f0979eab9fe2506777920f98e272a
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size 11143042428
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void_pass2.safetensors
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size 11143042428
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