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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:    TypeError
Message:      Couldn't cast array of type
struct<qwen2.5-3b-instruct-q4_k_m: struct<source: struct<repo: string, revision: string, file: string>, curated: struct<name: string, size: string, description: string, draft: string, moe: null, extra_files: list<item: null>, mmproj: null>, packages: list<item: null>>>
to
{'qwen2.5-0.5b-instruct-q4_k_m': {'source': {'repo': Value('string'), 'revision': Value('string'), 'file': Value('string')}, 'curated': {'name': Value('string'), 'size': Value('string'), 'description': Value('string'), 'draft': Value('null'), 'moe': Value('null'), 'extra_files': List(Value('null')), 'mmproj': Value('null')}, 'packages': List(Value('null'))}}
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 2233, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<qwen2.5-3b-instruct-q4_k_m: struct<source: struct<repo: string, revision: string, file: string>, curated: struct<name: string, size: string, description: string, draft: string, moe: null, extra_files: list<item: null>, mmproj: null>, packages: list<item: null>>>
              to
              {'qwen2.5-0.5b-instruct-q4_k_m': {'source': {'repo': Value('string'), 'revision': Value('string'), 'file': Value('string')}, 'curated': {'name': Value('string'), 'size': Value('string'), 'description': Value('string'), 'draft': Value('null'), 'moe': Value('null'), 'extra_files': List(Value('null')), 'mmproj': Value('null')}, 'packages': List(Value('null'))}}

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Mesh-LLM Catalog

This dataset is the Hugging Face-backed catalog for Mesh-LLM.

It currently contains:

  • catalog_v1.json: curated Hugging Face-native model entries used by Mesh-LLM model resolution
  • package resolution entries for published Mesh MoE packages may be added alongside the curated model data

The catalog deliberately excludes raw blob URLs. Entries should resolve to Hugging Face repositories and canonical Mesh refs.

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