Datasets:
License:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
repo_id: string
revision: string
source_revisions: struct<TRELLIS.2: struct<url: string, revision: string>, SAM3D_and_helpers: struct<sam3d: string, py (... 438 chars omitted)
child 0, TRELLIS.2: struct<url: string, revision: string>
child 0, url: string
child 1, revision: string
child 1, SAM3D_and_helpers: struct<sam3d: string, pytorch3d: string, moge: string, dinov2: string>
child 0, sam3d: string
child 1, pytorch3d: string
child 2, moge: string
child 3, dinov2: string
child 2, model_metadata: struct<facebook/sam3: struct<revision: string, license: string>, facebook/sam-3d-objects: struct<rev (... 95 chars omitted)
child 0, facebook/sam3: struct<revision: string, license: string>
child 0, revision: string
child 1, license: string
child 1, facebook/sam-3d-objects: struct<revision: string, license: string>
child 0, revision: string
child 1, license: string
child 2, Ruicheng/moge-vitl: struct<revision: string, license: string>
child 0, revision: string
child 1, license: string
child 3, TRELLIS_weights: struct<microsoft/TRELLIS.2-4B: struct<revision: string>, microsoft/TRELLIS-image-large: struct<revis (... 13 chars omitted)
child 0, microsoft/TRELLIS.2-4B: struct<revision: string>
child 0, revision: string
child 1, microsoft/TRELLIS-image-large: struct<revision: string>
child 0, revision: string
child 4, DINOv3: struct<format: string, file: string>
child 0, format: string
child 1, file: string
repo_type: string
upstream_weight_hashes_differing: list<item: null>
child 0, item: null
created_at: string
files: list<item: struct<path: string, size: int64, sha256: string, matches_upstream_sha256: bool>>
child 0, item: struct<path: string, size: int64, sha256: string, matches_upstream_sha256: bool>
child 0, path: string
child 1, size: int64
child 2, sha256: string
child 3, matches_upstream_sha256: bool
schema_version: int64
total_size: int64
upstream_weight_hashes_matched: int64
to
{'schema_version': Value('int64'), 'repo_id': Value('string'), 'repo_type': Value('string'), 'created_at': Value('string'), 'source_revisions': {'TRELLIS.2': {'url': Value('string'), 'revision': Value('string')}, 'SAM3D_and_helpers': {'sam3d': Value('string'), 'pytorch3d': Value('string'), 'moge': Value('string'), 'dinov2': Value('string')}, 'model_metadata': {'facebook/sam3': {'revision': Value('string'), 'license': Value('string')}, 'facebook/sam-3d-objects': {'revision': Value('string'), 'license': Value('string')}, 'Ruicheng/moge-vitl': {'revision': Value('string'), 'license': Value('string')}}, 'TRELLIS_weights': {'microsoft/TRELLIS.2-4B': {'revision': Value('string')}, 'microsoft/TRELLIS-image-large': {'revision': Value('string')}}, 'DINOv3': {'format': Value('string'), 'file': Value('string')}}, 'files': List({'path': Value('string'), 'size': Value('int64'), 'sha256': Value('string'), 'matches_upstream_sha256': Value('bool')}), 'total_size': Value('int64'), 'upstream_weight_hashes_matched': Value('int64'), 'upstream_weight_hashes_differing': List(Value('null'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
repo_id: string
revision: string
source_revisions: struct<TRELLIS.2: struct<url: string, revision: string>, SAM3D_and_helpers: struct<sam3d: string, py (... 438 chars omitted)
child 0, TRELLIS.2: struct<url: string, revision: string>
child 0, url: string
child 1, revision: string
child 1, SAM3D_and_helpers: struct<sam3d: string, pytorch3d: string, moge: string, dinov2: string>
child 0, sam3d: string
child 1, pytorch3d: string
child 2, moge: string
child 3, dinov2: string
child 2, model_metadata: struct<facebook/sam3: struct<revision: string, license: string>, facebook/sam-3d-objects: struct<rev (... 95 chars omitted)
child 0, facebook/sam3: struct<revision: string, license: string>
child 0, revision: string
child 1, license: string
child 1, facebook/sam-3d-objects: struct<revision: string, license: string>
child 0, revision: string
child 1, license: string
child 2, Ruicheng/moge-vitl: struct<revision: string, license: string>
child 0, revision: string
child 1, license: string
child 3, TRELLIS_weights: struct<microsoft/TRELLIS.2-4B: struct<revision: string>, microsoft/TRELLIS-image-large: struct<revis (... 13 chars omitted)
child 0, microsoft/TRELLIS.2-4B: struct<revision: string>
child 0, revision: string
child 1, microsoft/TRELLIS-image-large: struct<revision: string>
child 0, revision: string
child 4, DINOv3: struct<format: string, file: string>
child 0, format: string
child 1, file: string
repo_type: string
upstream_weight_hashes_differing: list<item: null>
child 0, item: null
created_at: string
files: list<item: struct<path: string, size: int64, sha256: string, matches_upstream_sha256: bool>>
child 0, item: struct<path: string, size: int64, sha256: string, matches_upstream_sha256: bool>
child 0, path: string
child 1, size: int64
child 2, sha256: string
child 3, matches_upstream_sha256: bool
schema_version: int64
total_size: int64
upstream_weight_hashes_matched: int64
to
{'schema_version': Value('int64'), 'repo_id': Value('string'), 'repo_type': Value('string'), 'created_at': Value('string'), 'source_revisions': {'TRELLIS.2': {'url': Value('string'), 'revision': Value('string')}, 'SAM3D_and_helpers': {'sam3d': Value('string'), 'pytorch3d': Value('string'), 'moge': Value('string'), 'dinov2': Value('string')}, 'model_metadata': {'facebook/sam3': {'revision': Value('string'), 'license': Value('string')}, 'facebook/sam-3d-objects': {'revision': Value('string'), 'license': Value('string')}, 'Ruicheng/moge-vitl': {'revision': Value('string'), 'license': Value('string')}}, 'TRELLIS_weights': {'microsoft/TRELLIS.2-4B': {'revision': Value('string')}, 'microsoft/TRELLIS-image-large': {'revision': Value('string')}}, 'DINOv3': {'format': Value('string'), 'file': Value('string')}}, 'files': List({'path': Value('string'), 'size': Value('int64'), 'sha256': Value('string'), 'matches_upstream_sha256': Value('bool')}), 'total_size': Value('int64'), 'upstream_weight_hashes_matched': Value('int64'), 'upstream_weight_hashes_differing': List(Value('null'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
InstRobo-House Checkpoints
InstRobo-House 当前本地推理使用的模型权重与配置合集（约 31 GiB）。目录与项目的 external/checkpoints/ 对应，下载后可使用默认 Hydra 路径。本仓库分发上游预训练模型的推理文件子集，不是 InstRobo-House 自行训练的新模型。
This is a deployment bundle of upstream pretrained checkpoints used by InstRobo-House. It contains inference weights and required configuration/tokenizer files, with a SHA256 manifest. It does not include Python environments, compiled CUDA extensions, third-party source repositories, API keys, or experiment outputs.
Download
在 InstRobo-House 项目根目录执行：
# 如尚未安装 hf 命令（无需修改项目的 Python 环境）
uv tool install huggingface-hub
uv tool update-shell
# 下载全部本地推理模型，目录与项目默认配置一致
hf download luhaotaotao/InstRobo-House \
--repo-type dataset --local-dir external/checkpoints
# 可选：验证下载内容
cd external/checkpoints
sha256sum -c SHA256SUMS
只下载 TRELLIS 所需权重：
hf download luhaotaotao/InstRobo-House \
--repo-type dataset --local-dir external/checkpoints \
--include "trellis2/*" --include "dinov3/*"
只下载 SAM3D 和 SAM3 掩码所需权重：
hf download luhaotaotao/InstRobo-House \
--repo-type dataset --local-dir external/checkpoints \
--include "sam3d/*" --include "moge-vitl/*" --include "sam3/*"
GPT 掩码不需要 sam3/。混元 3D、GPT-image、Codex 使用云端服务，无需此处的本地权重。RMBG-2.0 不在本合集内；项目默认的 TRELLIS 白底直入模式不需要它。
Contents
| Directory | Model / purpose | Original publisher |
|---|---|---|
trellis2/TRELLIS.2-4B/ |
Shape and texture generation; 512 / 1024 cascade checkpoints used for 512 / 1024 / 1536 pipelines | Microsoft TRELLIS.2-4B |
trellis2/TRELLIS-image-large/ |
Sparse structure decoder only | Microsoft TRELLIS-image-large |
dinov3/ |
Original Meta dinov3_vitl16_pretrain_lvd1689m-8aa4cbdd.pth; used by the local DINOv3 adapter |
Meta DINOv3 |
sam3/ |
SAM3 Transformers checkpoint, image/video config and tokenizer; the project loads the image detector | Meta SAM3 |
sam3d/ |
SAM 3D Objects pipeline configs, generators and decoders | Meta SAM 3D Objects |
moge-vitl/ |
Depth estimation used by SAM3D | Ruicheng / MoGe ViT-L |
manifest.json records file sizes, SHA256 hashes and source information. DINOv3 is the original .pth format, not the Hugging Face safetensors conversion. SAM3 is the Transformers checkpoint, not a second copy of the original sam3.pt. SAM3D's conditioner parameters are already stored in its generator checkpoints; DINOv2 needs its code repository, not another separately downloaded weight file.
Runtime dependencies
权重下载不等于完整安装。仍需按 InstRobo-House 的部署说明安装 CUDA/Python 环境和外部源码：external/repos/TRELLIS.2、SAM-3D-Objects、dinov2、MoGe。本合集使用的源码版本记录在 manifest.json 中。项目内 integrations/trellis2/run.sh --check 和 integrations/sam3d/run.sh --check 可检查部署。
Licenses
Each model remains under its upstream license; this repository does not relicense the models under a single permissive license. Read and comply with the license accompanying each directory. Acknowledge the upstream work when publishing research using these models.
| Model | License included in this repository |
|---|---|
| TRELLIS.2 | MIT |
| TRELLIS sparse decoder | MIT |
| MoGe | MIT |
| DINOv3 | DINOv3 License |
| SAM3 | SAM License |
| SAM 3D Objects | SAM License |
All credit for the original models belongs to their respective authors and publishers. Please refer to the linked upstream repositories for model documentation and citations.
- Downloads last month
- 815