Add int8 weights (group_size 64), config, quantize_config — repo was empty (#dogfood 2026-07-20)

config.json

@@ -0,0 +1,10 @@
+{
+  "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."
+  }
+}

quantize_config.json

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+{
+  "quantization": {
+    "bits": 8,
+    "group_size": 64
+  }
+}

void_pass1.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:760732a3ca55159ccdbaba1e0756af0d64954fdb0b799d7918562ad2a7882889
+size 6684031105

void_pass2.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:77f756785bc77ce779ca6edfb16f6ed525383b13616d9228cdddc497c5a258c0
+size 6684031105