config.json

{
  "model_type": "internw0",
  "model_name": "InternW0-Libero",
  "task": "LIBERO Goal+Long posttraining and four-suite evaluation",
  "base_model": "InternRobotics/InternW0-Base",
  "architecture": {
    "name": "ahawam_one_way_ovcr",
    "public_runtime": "w0",
    "video_expert": "Wan2.2-TI2V-5B VideoDiT",
    "action_expert": "ActionDiT",
    "context_routing": "observation-conditioned chunk K/V editor",
    "objective": "video/action continuous flow matching"
  },
  "weight_file": "InternW0-Libero.pt",
  "weight_alias_file": "pytorch_model.bin",
  "weight_format": "native PyTorch checkpoint with embedded InternW0 behavior contract",
  "weight_size_bytes": 14705454471,
  "weight_sha256": "5f967259b1a8dfce90c871212630d3bc1945ce6ceb03dc96aae6c148891935c7",
  "step": 600,
  "torch_dtype": "bfloat16",
  "runtime": {
    "code": "https://github.com/InternRobotics/InternW0",
    "loader": "native w0 checkpoint loader",
    "transformers_compatible": false
  },
  "target_domain": "libero/franka",
  "source_pretraining_step": 30000,
  "normalization_file": "normalization.json",
  "metadata_file": "checkpoint_metadata.json",
  "posttrain_config_file": "posttrain_config.yaml",
  "source_training_config_file": "source_training_config.yaml",
  "source_evaluation_config_file": "source_evaluation_config.yaml",
  "evaluation_summary_file": "evaluation_summary.json",
  "download_counting": {
    "library": "pytorch",
    "query_file": "pytorch_model.bin",
    "query_file_alias_of": "InternW0-Libero.pt",
    "policy": "Hugging Face PyTorch model download statistics",
    "note": "HTTP GET and HEAD requests to pytorch_model.bin are counted server-side. The alias points to the same LFS object as the canonical checkpoint."
  }
}