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
generated: timestamp[s]
source_models_dir: string
bundled_base_model_dir: string
v48_included: bool
models: list<item: struct<name: string, size_bytes: int64, source_stage: string>>
child 0, item: struct<name: string, size_bytes: int64, source_stage: string>
child 0, name: string
child 1, size_bytes: int64
child 2, source_stage: string
bundled_model_count: int64
remote_model_store_repo: string
generated_at: string
bundled_model_keys: list<item: string>
child 0, item: string
models_dir: string
bundled_models: list<item: struct<key: string, label: string, name: string, size_bytes: int64>>
child 0, item: struct<key: string, label: string, name: string, size_bytes: int64>
child 0, key: string
child 1, label: string
child 2, name: string
child 3, size_bytes: int64
bundle_strategy: string
to
{'generated_at': Value('string'), 'models_dir': Value('string'), 'bundle_strategy': Value('string'), 'bundled_model_count': Value('int64'), 'bundled_model_keys': List(Value('string')), 'bundled_models': List({'key': Value('string'), 'label': Value('string'), 'name': Value('string'), 'size_bytes': Value('int64')}), 'remote_model_store_repo': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
generated: timestamp[s]
source_models_dir: string
bundled_base_model_dir: string
v48_included: bool
models: list<item: struct<name: string, size_bytes: int64, source_stage: string>>
child 0, item: struct<name: string, size_bytes: int64, source_stage: string>
child 0, name: string
child 1, size_bytes: int64
child 2, source_stage: string
bundled_model_count: int64
remote_model_store_repo: string
generated_at: string
bundled_model_keys: list<item: string>
child 0, item: string
models_dir: string
bundled_models: list<item: struct<key: string, label: string, name: string, size_bytes: int64>>
child 0, item: struct<key: string, label: string, name: string, size_bytes: int64>
child 0, key: string
child 1, label: string
child 2, name: string
child 3, size_bytes: int64
bundle_strategy: string
to
{'generated_at': Value('string'), 'models_dir': Value('string'), 'bundle_strategy': Value('string'), 'bundled_model_count': Value('int64'), 'bundled_model_keys': List(Value('string')), 'bundled_models': List({'key': Value('string'), 'label': Value('string'), 'name': Value('string'), 'size_bytes': Value('int64')}), 'remote_model_store_repo': Value('string')}
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.
Supermix Studio X — V48 Frontier Edition
Release Date: 2026-04-17
Downloads
Full Installer (Windows x64)
| File | Size | Description |
|---|---|---|
| SupermixStudioX_V48_Setup.exe | ~1.84 GB | Full installer with all bundled models |
Model Weights
| Model | File | Size |
|---|---|---|
| V48 Frontier | omni_collective_v48_frontier.pth | ~20 MB |
| V47 Frontier | omni_collective_v47_frontier.pth | ~501 MB |
| V46 Frontier | omni_collective_v46_frontier.pth | ~501 MB |
Benchmarks
| File | Description |
|---|---|
| v48_benchmark_comparison.png | V48 benchmark comparison graph |
| v48_benchmark_results.json | Raw benchmark data |
What's New in V48 Frontier
- Omni Collective V48 Frontier with H-MoE routing and Adaptive GoT
- Refreshed Studio X shell with the V48 benchmark tab
- Latest bundled frontier set (V46, V47, V48)
- Updated benchmark graph comparing V40, V41, V42, V47, and V48
Source Code
GitHub: https://github.com/kai9987kai/Supermix_29
Tag: v48-frontier-code-only
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