{ "schema_version": "5.1", "name": "gr00t-n1.7-3b-p150", "tt_metal_version": "0.65.2.dev10011", "arch": "blackhole", "device_count": 1, "producer": { "tt_kernel_version": "0.1.0", "created_at": "2026-09-17T20:47:58.559611+00:00", "hostname": "deepgadget" }, "weights": { "repo_id": "nvidia/GR00T-N1.7-3B", "revision": "2fc962b973bccdd5d8ce4f67cc63b264d6886495", "allow_patterns": [ "model-*.safetensors", "model.safetensors.index.json", "config.json", "processor_config.json", "statistics.json", "embodiment_id.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-n1.7-3b-p150", "tag": "tt-model/gr00t-n1.7-3b-p150:4cfc5e1ffe29", "digest": "sha256:4cfc5e1ffe299b02f05d09f2ac79a840690a135ec81ffa9da79cf99be87f6636" }, "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", "loguru" ], "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": "2fc962b973bccdd5d8ce4f67cc63b264d6886495", "TT_METAL_VISIBLE_DEVICES": "0", "TT_DEVICE_ID": "0", "GR00T_VERSION": "n17", "GR00T_EMBODIMENT": "oxe_droid_relative_eef_relative_joint", "GR00T_LAYOUT": "droid", "GR00T_POLICY": "mixed_dit", "GR00T_TRACE_LAYOUT": "per_stage", "GR00T_DIT_BACKEND": "megakernel", "GR00T_MK_ARENA_DTYPE": "auto", "GR00T_NUM_CQS": "2", "GR00T_VIT_FORK": "1", "GR00T_TOKENIZER_DIR": "/opt/tt-metal/gr00t_p150/assets/tokenizer/n17", "GR00T_PROJECT_ROOT": "/nonexistent", "GR00T_GOLDEN_ROOT": "/nonexistent", "GR00T_TT_CACHE": "/weight-cache/gr00t-tt", "GR00T_WARMUP_RUNS": "5", "GR00T_WARMUP_PCC_MIN": "0.999" } }, "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, gr00t_p150.server.app; assert 'ttnn' not in sys.modules and not any(m.startswith('models.experimental.gr00t') for m in sys.modules), 'the server module must import without side effects'", "import models.experimental.gr00t.tt.model as m; assert m.Gr00tTT", "from models.experimental.gr00t.common import configs, preprocessing, normalization, prompts, checkpoint, weights; assert configs.HF_SNAPSHOT_SHAS['n17'] == '2fc962b973bccdd5d8ce4f67cc63b264d6886495' and configs.HF_REPOS['n17'] == 'nvidia/GR00T-N1.7-3B'", "from models.experimental.gr00t.common.configs import get_config; c = get_config('n17'); l = c.canonical_layout; assert (l.name, c.canonical_embodiment, l.embodiment_id, l.n_cameras, l.n_images, l.grid_thw, l.tokens_per_image, l.l_max, l.s_pad_llm, l.noise_shape, l.valid_slice) == ('droid', 'oxe_droid_relative_eef_relative_joint', 24, 2, 4, (1, 16, 28), 112, 51, 512, (1, 40, 132), (40, 17)), l", "from models.experimental.gr00t.tt.qwen3vl_vision import build_vision_tower, resolve_vit_fork, TunedVisionConfig; from models.experimental.gr00t.tt.policy import TTPolicy; assert TTPolicy().vit_fork is True and resolve_vit_fork(TTPolicy(), None, 'qwen3vl') is True", "from models.experimental.gr00t.tt.policy import TTPolicy, DEFAULT_DIT_BACKEND, MK_ARENA_DTYPE_DEFAULT; p = TTPolicy(); assert DEFAULT_DIT_BACKEND == 'megakernel' and p.dit_backend == 'megakernel' and p.mk_arena_dtype == 'auto' and p.mk_arena_dtype_for('n17') == 'bfp8_b' == MK_ARENA_DTYPE_DEFAULT['n17'], p.to_dict()", "from models.experimental.gr00t.tt.policy import TTPolicy; assert TTPolicy().with_env_overrides({'GR00T_DIT_BACKEND': 'ttnn'}).dit_backend == 'ttnn' and TTPolicy().with_env_overrides({'GR00T_MK_ARENA_DTYPE': 'bf16'}).mk_arena_dtype == 'bf16'", "import models.experimental.gr00t.tt.megakernel.dit_program as dp; from models.experimental.gr00t.tt.megakernel import arena, core_map, descriptors; assert dp.DiTMegakernel and descriptors.L1_USABLE_BYTES == 1461248 and core_map.N_COMPUTE_DEFAULT == 96", "from models.experimental.gr00t.tt.model import open_model_device, worker_l1_size_for, MK_L1_CUT_BYTES_DEFAULT, ADAPTER_MEM_BY_BACKEND; from models.experimental.gr00t.tt.policy import TTPolicy; assert MK_L1_CUT_BYTES_DEFAULT == 65536 and worker_l1_size_for(TTPolicy()) == 1395712 and worker_l1_size_for(TTPolicy(dit_backend='ttnn')) is None and ADAPTER_MEM_BY_BACKEND == {'ttnn': 'L1', 'megakernel': 'DRAM'}", "import hashlib; from pathlib import Path; d = Path('/opt/tt-metal/models/experimental/gr00t'); rows = [l.split() for l in (d / 'tests/tt/results/mk_tree_20260918-041439.sha256').read_text().splitlines() if l.strip()]; assert len(rows) == 16 and all(hashlib.sha256((d / p).read_bytes()).hexdigest() == h for h, p in rows), 'tt/megakernel tree != the K4b checkpoint 7df61c35e9dc7857'", "import os, re; from pathlib import Path; k = Path('/opt/tt-metal/models/experimental/gr00t/tt/megakernel/kernels/dit_kernel.cpp'); incs = re.findall(r'#include \"(\\.\\./[^\"]+)\"', k.read_text()); assert len(incs) == 4 and all(Path(os.path.normpath(k.parent / i)).is_file() for i in incs), incs", "import inspect, gr00t_p150.server.app as a; src = inspect.getsource(a); assert a.STAGE_SERVED == {'megakernel': 'stage2-megakernel', 'ttnn': 'stage1-ttnn-traces'} and a.DEFAULT_NUM_CQS == 2 and 'device = open_model_device(' in src and 'GR00T_DIT_BACKEND' in src and 'GR00T_NUM_CQS' in src", "import os; os.environ.update({'GR00T_VERSION': 'n17', 'TT_WEIGHTS_REVISION': '2fc962b973bccdd5d8ce4f67cc63b264d6886495', 'GR00T_DIT_BACKEND': 'megakernel', 'GR00T_MK_ARENA_DTYPE': 'auto', 'GR00T_NUM_CQS': '2', 'GR00T_VIT_FORK': '1'}); from gr00t_p150.server.app import load_config; c = load_config(); assert (c.version, c.dit_backend, c.mk_arena_dtype, c.num_cqs, c.vit_fork) == ('n17', 'megakernel', 'auto', 2, True), c", "import models.tt_dit.utils.matmul as mm; assert mm.get_matmul_config", "from models.tt_dit.encoders.qwen3vl.vision_qwen3vl import Qwen3VlVisionModel; assert Qwen3VlVisionModel", "import models.demos.deepseek_v3_b1.unified_kernel_descriptor as u; assert u.UnifiedKernelDescriptor", "import safetensors, huggingface_hub, cv2, numpy, PIL, loguru; assert int(numpy.__version__.split('.')[0]) < 2, numpy.__version__; assert cv2.__version__ == '4.8.1', cv2.__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/n17'); assert all((d / f).is_file() for f in ('vocab.json', 'merges.txt', 'tokenizer_config.json', 'preprocessor_config.json', 'PROVENANCE.md')), sorted(p.name for p in d.iterdir())", "import os; os.environ['GR00T_TOKENIZER_DIR_N17'] = '/opt/tt-metal/gr00t_p150/assets/tokenizer/n17'; from models.experimental.gr00t.common.prompts import get_tokenizer; t = get_tokenizer('n17'); assert t.convert_tokens_to_ids('<|image_pad|>') == 151655 and t.convert_tokens_to_ids('<|vision_start|>') == 151652 and t.convert_tokens_to_ids('<|vision_end|>') == 151653", "import os; os.environ['GR00T_TOKENIZER_DIR_N17'] = '/opt/tt-metal/gr00t_p150/assets/tokenizer/n17'; from models.experimental.gr00t.common.preprocessing import get_qwen2vl_image_processor, qwen2vl_smart_resize; ip = get_qwen2vl_image_processor(); assert ip.patch_size == 16 and ip.merge_size == 2 and ip.temporal_patch_size == 2; assert qwen2vl_smart_resize(256, 455, 32, 65536, 16777216) == (256, 448)", "from pathlib import Path; d = Path('/opt/tt-metal/gr00t_p150/demo/n17'); assert all((d / f).is_file() for f in ('observation.json', 'noise.json', 'expected.json', 'frames/exterior_image_1_left_tm15.png', 'frames/exterior_image_1_left_t0.png', 'frames/wrist_image_left_tm15.png', 'frames/wrist_image_left_t0.png')), sorted(str(p) for p in d.rglob('*'))", "from gr00t_p150.server.app import load_demo_request; import numpy as np; r = load_demo_request('n17'); assert set(r['images']) == {'exterior_image_1_left', 'wrist_image_left'} and all(len(v) == 2 for v in r['images'].values()) and np.asarray(r['noise']).squeeze().shape == (40, 132)", "from pathlib import Path; assert Path('/opt/tt-metal/models/experimental/gr00t/common/golden_tap_map.json').is_file() and Path('/opt/tt-metal/models/experimental/gr00t/tests/tt/gates/gates_multi.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() and Path('/opt/tt-metal/scripts/download_weights.sh').is_file()", "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', 'embedding', 'generic_op', 'allocate_tensor_on_device'))", "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-n1.7-3b-p150:4cfc5e1ffe29", "repo": "changh95/GR00T-N1.7-3B-p150", "tt_model_version": "0.1.0", "created_at": "2026-09-17T20:42:14+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": "9efa5512d0634561c9d0469c7fada22f3da23a6ef08cdbeb08f8c0b6769673df", "image_digest": "sha256:4cfc5e1ffe299b02f05d09f2ac79a840690a135ec81ffa9da79cf99be87f6636" } } }