{
  "base_model": "Roblox/cubepart",
  "library": "torchao",
  "torchao_version": "0.11.0",
  "torch_version": "2.8.0+cu128",
  "method": "HQQ",
  "scheme": "W4A16",
  "config": "int4_weight_only(group_size=128, use_hqq=True)",
  "group_size": 128,
  "quantized_scope": "nn.Linear layers in transformer_blocks and multi_transformer_blocks of diffusion_model",
  "skipped_name_substrings": [
    "img_in",
    "txt_in",
    "proj_out",
    "pos_embed",
    "time_text_embed",
    "norm"
  ],
  "untouched_modules": [
    "shape_model",
    "base_model.text_encoder"
  ],
  "checkpoint_file": "multi_part_dit_int4_hqq_g128.pt",
  "checkpoint_file_safetensors": "multi_part_dit_int4_hqq_g128.safetensors",
  "checkpoint_contents": "diffusion_model.state_dict() after in place quantization",
  "load_recipe": "instantiate the pipeline, quantize_ diffusion_model with the same config and filter, then load_state_dict with defaults (no assign=True), weights_only=False",
  "load_recipe_safetensors": "instantiate the pipeline, quantize_ diffusion_model with the same config and filter, flatten each state_dict tensor via __tensor_flatten__ into '<key>::<inner>' leaves, then copy_ each leaf from the file (see README)",
  "required_env": {
    "TORCHDYNAMO_DISABLE": "1"
  }
}