Add int4 weights (group_size 64), config, quantize_config — repo was empty (#dogfood 2026-07-20)

88574d3 verified about 1 month ago

365 Bytes

	{
	"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."
	}
	}