Upload VOID model MLX (bf16)

README.md

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+---
+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)

config.json

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+{
+  "model_type": "void-transformer",
+  "source": "netflix-void",
+  "architecture": "CogVideoXTransformer3DModel",
+  "passes": [
+    "void_pass1",
+    "void_pass2"
+  ],
+  "notes": {
+    "patch_embed": "Linear with in_dim=384 (in_channels=48 [16 latent + 16 VAE-mask + 16 VAE-video] * patch_volume=8).",
+    "base_model": "Uses VAE and T5 from CogVideoX-Fun-V1.5-5b-InP."
+  }
+}

void_pass1.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9e026422ebb71db91b3c79e59a974a1f9d5f0979eab9fe2506777920f98e272a
+size 11143042428

void_pass2.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:eeb344cf77f8fb0b141087c9556acecc0284dc4717a7663a25776424039ae91a
+size 11143042428