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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 string to null
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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2143, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2005, in array_cast
                  raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
              TypeError: Couldn't cast array of type string to null

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LFM serving artifacts and results

Uploaded: 2026-07-21T04:38:33.828663+00:00

Results

  • results/ from /workspace/lfm-serving/results, size 96.9MB

Checkpoint artifacts

  • lfm2-w4a16-gptq-g64-mlp10-15-bf16/ from /workspace/lfm-serving/artifacts/lfm2-w4a16-gptq-g64-mlp10-15-bf16, size 1.4GB
  • lfm2-w4a16-gptq-g64-attention-only/ from /dev/shm/artifacts-work/lfm2-w4a16-gptq-g64-attention-only, size 2.1GB
  • lfm2-w4a16-gptq-g64-mlp10-15-attn10-12-14-bf16/ from /dev/shm/artifacts-work/lfm2-w4a16-gptq-g64-mlp10-15-attn10-12-14-bf16, size 1.5GB
  • lfm2-w4a16-gptq-g128/ from /dev/shm/artifacts-stash/lfm2-w4a16-gptq-g128, size 770.2MB
  • lfm2-w4a16-gptq-g128-no-conv/ from /dev/shm/artifacts-stash/lfm2-w4a16-gptq-g128-no-conv, size 1007.7MB
  • lfm2-w4a16-gptq-g64-late-mlp-bf16/ from /dev/shm/artifacts-stash/lfm2-w4a16-gptq-g64-late-mlp-bf16, size 1.3GB
  • lfm2-w4a16-gptq-g64-mlp8-15-bf16/ from /dev/shm/artifacts-stash/lfm2-w4a16-gptq-g64-mlp8-15-bf16, size 1.5GB
  • lfm2-w4a16-gptq-g64-no-conv/ from /dev/shm/artifacts-stash/lfm2-w4a16-gptq-g64-no-conv, size 1020.7MB

Notes

  • Repos are private by default.
  • W4 artifacts are compressed-tensors/GPTQ experiments; see repository docs for pass/fail status.
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