{
  "schema_version": "5.1",
  "name": "gr00t-n1.5-3b-p150",
  "tt_metal_version": "0.65.2.dev10011",
  "arch": "blackhole",
  "device_count": 1,
  "producer": {
    "tt_kernel_version": "0.1.0",
    "created_at": "2026-09-14T15:30:00.783347+00:00",
    "hostname": "deepgadget"
  },
  "weights": {
    "repo_id": "nvidia/GR00T-N1.5-3B",
    "revision": "869830fc749c35f34771aa5209f923ac57e4564e",
    "allow_patterns": [
      "model-*.safetensors",
      "model.safetensors.index.json",
      "config.json",
      "experiment_cfg/metadata.json",
      "LICENSE"
    ],
    "ignore_patterns": null,
    "repo_type": "model"
  },
  "mesh": null,
  "entrypoint": null,
  "resources": null,
  "capabilities": null,
  "env": {},
  "bundled": null,
  "deps": null,
  "container": {
    "image": {
      "registry": "hf",
      "repository": "gr00t-n1.5-3b-p150",
      "tag": "tt-model/gr00t-n1.5-3b-p150:443501bd3b7a",
      "digest": "sha256:443501bd3b7afce579bf743eeedd64809886653c29a9d7125614e8451cd61a7b"
    },
    "kind": "tt-dit-server",
    "runtime": {
      "app": "gr00t_p150.server.app:app",
      "mesh_shape_env": "TT_MESH_SHAPE",
      "packages": [
        "numpy>=1.24.4,<2",
        "safetensors",
        "huggingface_hub",
        "transformers==5.12.1",
        "opencv-python-headless==4.8.1.78",
        "torchvision==0.26.0",
        "pytest"
      ],
      "lock": "requirements.lock"
    },
    "serve": {
      "hardware": "p150",
      "mesh_device": "P150",
      "port": 20000,
      "max_model_len": null,
      "max_num_seqs": null,
      "block_size": null,
      "server_timeout": null,
      "capabilities": null,
      "additional_config": {},
      "args": [],
      "env": {
        "TT_WEIGHTS_REVISION": "869830fc749c35f34771aa5209f923ac57e4564e",
        "TT_METAL_VISIBLE_DEVICES": "0",
        "TT_DEVICE_ID": "0",
        "GR00T_VERSION": "n15",
        "GR00T_EMBODIMENT": "gr1",
        "GR00T_LAYOUT": "gr1",
        "GR00T_POLICY": "mixed_dit",
        "GR00T_TRACE_LAYOUT": "per_stage",
        "GR00T_TOKENIZER_DIR_N15": "/opt/tt-metal/gr00t_p150/assets/tokenizer/n15",
        "GR00T_PROJECT_ROOT": "/nonexistent",
        "GR00T_GOLDEN_ROOT": "/nonexistent",
        "GR00T_TT_CACHE": "/weight-cache/gr00t-tt",
        "GR00T_WARMUP_RUNS": "3"
      }
    },
    "serve_profiles": [
      {
        "hardware": null,
        "mesh_device": null,
        "port": null,
        "max_model_len": null,
        "max_num_seqs": null,
        "block_size": null,
        "server_timeout": null,
        "capabilities": null,
        "additional_config": {},
        "args": [],
        "env": {},
        "name": "default",
        "description": null
      }
    ],
    "default_profile": null,
    "code_dir": "code",
    "verify": [
      "import gr00t_p150.server.app as a; assert a.app; import sys; assert 'ttnn' not in sys.modules, 'server import must be side-effect free'",
      "import models.experimental.gr00t.tt.model as m; assert m.Gr00tTT",
      "from models.experimental.gr00t.common import preprocessing, normalization, prompts, checkpoint, weights, configs; assert configs.HF_SNAPSHOT_SHAS['n15'] == '869830fc749c35f34771aa5209f923ac57e4564e'",
      "import pytest, models.common.utility_functions; import models.tt_dit.utils.matmul as mm; assert mm.get_matmul_config",
      "import models.demos.deepseek_v3_b1.unified_kernel_descriptor as u; assert u.UnifiedKernelDescriptor",
      "import models.tt_dit.encoders.qwen3vl.vision_qwen3vl",
      "import models.experimental.gr00t.tt.layers, models.experimental.gr00t.tt.qwen3vl_vision, models.experimental.gr00t.tt.megakernel.descriptors",
      "import safetensors, huggingface_hub, cv2, numpy, PIL; assert int(numpy.__version__.split('.')[0]) < 2, numpy.__version__",
      "import transformers; assert transformers.__version__ == '5.12.1', transformers.__version__",
      "import torchvision; assert torchvision.__version__.startswith('0.26.0'), torchvision.__version__",
      "from pathlib import Path; d = Path('/opt/tt-metal/gr00t_p150/assets/tokenizer/n15'); assert all((d / f).is_file() for f in ('vocab.json', 'merges.txt', 'tokenizer_config.json', 'special_tokens_map.json', 'added_tokens.json')), sorted(p.name for p in d.iterdir())",
      "import os; os.environ['GR00T_TOKENIZER_DIR_N15'] = '/opt/tt-metal/gr00t_p150/assets/tokenizer/n15'; from models.experimental.gr00t.common.prompts import get_tokenizer; t = get_tokenizer('n15'); assert t.convert_tokens_to_ids('<IMG_CONTEXT>') == 151669",
      "from pathlib import Path; assert Path('/opt/tt-metal/models/experimental/gr00t/common/golden_tap_map.json').is_file()",
      "from pathlib import Path; assert Path('/opt/tt-metal/gr00t_p150/server/smoke_test.py').is_file() and Path('/opt/tt-metal/scripts/bench_http.py').is_file()",
      "from pathlib import Path; d = Path('/opt/tt-metal/gr00t_p150/demo/n15'); assert all((d / f).is_file() for f in ('observation.json', 'noise.json', 'expected.json', 'frames/ego_view_t0.png')), sorted(str(p) for p in d.rglob('*'))",
      "import ttnn; assert all(hasattr(ttnn, a) for a in ('begin_trace_capture', 'end_trace_capture', 'execute_trace', 'release_trace', 'copy_host_to_device_tensor', 'MinimalMatmulConfig'))",
      "from gr00t_p150.server.app import parse_mesh_shape as p; assert p('1x1') == p('(1, 1)') == p('1,1') == (1, 1)"
    ],
    "built": {
      "image": "tt-model/gr00t-n1.5-3b-p150:443501bd3b7a",
      "repo": "changh95/GR00T-N1.5-3B-p150",
      "tt_model_version": "0.1.0",
      "created_at": "2026-09-14T15:17:00+00:00",
      "tt_metal": {
        "sha": "668c290757550588d0ce46b180c344a462a2aaf5",
        "describe": "v0.79.0-dev20260914-1-g668c290757",
        "dirty": false,
        "scm_version": "0.65.2.dev10011",
        "mode": "local",
        "remote": "https://github.com/tenstorrent/tt-metal.git",
        "branch": "HEAD",
        "pushed": true
      },
      "code_sha256": "a2771515bca98527e302292524e9c1d28db4941cec8eb276bc8c8344d14358e9",
      "image_digest": "sha256:443501bd3b7afce579bf743eeedd64809886653c29a9d7125614e8451cd61a7b"
    }
  }
}