Datasets:

---

enfinity7B

/

llm-compression-analysis

like 0

Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<mlp_gate: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, mlp_up: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, mlp_down: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, attn_q: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: dou
...
fman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, attn_o: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, embedding: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, lm_head: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>>
to
{'mlp_gate': {'n_tensors': Value('int64'), 'total_elements': Value('int64'), 'total_bytes': Value('int64'), 'total_bytes_human': Value('string'), 'avg_exponent_entropy_bits': Value('float64'), 'avg_sign_entropy_bits': Value('float64'), 'avg_mantissa_entropy_bits': Value('float64'), 'avg_top_16_coverage': Value('float64'), 'avg_huffman_bits_per_exponent': Value('float64'), 'avg_huffman_full_ratio': Value('float64'), 'avg_huffman_size_reduction_pct': Value('float64'), 'avg_palette_full_ratio': Value('float64'), 'avg_palette_size_reduction_pct': Value('float64'), 'avg_verbatim_row_fraction': Value('float64')}, 'mlp_up': {'n_tensors': Value('int64'), 'total_elements': Value('int64'), 'total_bytes': Value('int64'), 'total_bytes_human': Value('string'), 'avg_exponent_entropy_bits': Value('float64'), 'avg_sign_entropy_bits': Value('float64'), 'avg_mantissa_entropy_bits': Value('float64'), 'avg_top_16_coverage': Value('float64'), 'avg_huffman_bits_per_exponent': Value('float64'), 'avg_huffman_full_ratio': Value('float64'), 'avg_huffman_size_reduction_pct': Value('float64'), 'avg_palette_full_ratio': Value('float64'), 'avg_palette_size_reduction_pct': Value('float64'), 'avg_verbatim_row_fraction': Value('float64')}, 'mlp_down': {'n_tensors': Value('int64'), 'total_elements': Value('int64'), 'total_bytes': Value('int64'), 'total_bytes_human': Value('string'), 'avg_exponent_entropy_bits': Value('float64'), 'avg_sign_entropy_bits': Value('float64'), 'avg_mantissa_entropy_bits': Value('fl
...
_per_exponent': Value('float64'), 'avg_huffman_full_ratio': Value('float64'), 'avg_huffman_size_reduction_pct': Value('float64'), 'avg_palette_full_ratio': Value('float64'), 'avg_palette_size_reduction_pct': Value('float64'), 'avg_verbatim_row_fraction': Value('float64')}, 'attn_o': {'n_tensors': Value('int64'), 'total_elements': Value('int64'), 'total_bytes': Value('int64'), 'total_bytes_human': Value('string'), 'avg_exponent_entropy_bits': Value('float64'), 'avg_sign_entropy_bits': Value('float64'), 'avg_mantissa_entropy_bits': Value('float64'), 'avg_top_16_coverage': Value('float64'), 'avg_huffman_bits_per_exponent': Value('float64'), 'avg_huffman_full_ratio': Value('float64'), 'avg_huffman_size_reduction_pct': Value('float64'), 'avg_palette_full_ratio': Value('float64'), 'avg_palette_size_reduction_pct': Value('float64'), 'avg_verbatim_row_fraction': Value('float64')}, 'embedding': {'n_tensors': Value('int64'), 'total_elements': Value('int64'), 'total_bytes': Value('int64'), 'total_bytes_human': Value('string'), 'avg_exponent_entropy_bits': Value('float64'), 'avg_sign_entropy_bits': Value('float64'), 'avg_mantissa_entropy_bits': Value('float64'), 'avg_top_16_coverage': Value('float64'), 'avg_huffman_bits_per_exponent': Value('float64'), 'avg_huffman_full_ratio': Value('float64'), 'avg_huffman_size_reduction_pct': Value('float64'), 'avg_palette_full_ratio': Value('float64'), 'avg_palette_size_reduction_pct': Value('float64'), 'avg_verbatim_row_fraction': Value('float64')}}
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<mlp_gate: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, mlp_up: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, mlp_down: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, attn_q: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: dou
              ...
              fman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, attn_o: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, embedding: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>, lm_head: struct<n_tensors: int64, total_elements: int64, total_bytes: int64, total_bytes_human: string, avg_exponent_entropy_bits: double, avg_sign_entropy_bits: double, avg_mantissa_entropy_bits: double, avg_top_16_coverage: double, avg_huffman_bits_per_exponent: double, avg_huffman_full_ratio: double, avg_huffman_size_reduction_pct: double, avg_palette_full_ratio: double, avg_palette_size_reduction_pct: double, avg_verbatim_row_fraction: double>>
              to
              {'mlp_gate': {'n_tensors': Value('int64'), 'total_elements': Value('int64'), 'total_bytes': Value('int64'), 'total_bytes_human': Value('string'), 'avg_exponent_entropy_bits': Value('float64'), 'avg_sign_entropy_bits': Value('float64'), 'avg_mantissa_entropy_bits': Value('float64'), 'avg_top_16_coverage': Value('float64'), 'avg_huffman_bits_per_exponent': Value('float64'), 'avg_huffman_full_ratio': Value('float64'), 'avg_huffman_size_reduction_pct': Value('float64'), 'avg_palette_full_ratio': Value('float64'), 'avg_palette_size_reduction_pct': Value('float64'), 'avg_verbatim_row_fraction': Value('float64')}, 'mlp_up': {'n_tensors': Value('int64'), 'total_elements': Value('int64'), 'total_bytes': Value('int64'), 'total_bytes_human': Value('string'), 'avg_exponent_entropy_bits': Value('float64'), 'avg_sign_entropy_bits': Value('float64'), 'avg_mantissa_entropy_bits': Value('float64'), 'avg_top_16_coverage': Value('float64'), 'avg_huffman_bits_per_exponent': Value('float64'), 'avg_huffman_full_ratio': Value('float64'), 'avg_huffman_size_reduction_pct': Value('float64'), 'avg_palette_full_ratio': Value('float64'), 'avg_palette_size_reduction_pct': Value('float64'), 'avg_verbatim_row_fraction': Value('float64')}, 'mlp_down': {'n_tensors': Value('int64'), 'total_elements': Value('int64'), 'total_bytes': Value('int64'), 'total_bytes_human': Value('string'), 'avg_exponent_entropy_bits': Value('float64'), 'avg_sign_entropy_bits': Value('float64'), 'avg_mantissa_entropy_bits': Value('fl
              ...
              _per_exponent': Value('float64'), 'avg_huffman_full_ratio': Value('float64'), 'avg_huffman_size_reduction_pct': Value('float64'), 'avg_palette_full_ratio': Value('float64'), 'avg_palette_size_reduction_pct': Value('float64'), 'avg_verbatim_row_fraction': Value('float64')}, 'attn_o': {'n_tensors': Value('int64'), 'total_elements': Value('int64'), 'total_bytes': Value('int64'), 'total_bytes_human': Value('string'), 'avg_exponent_entropy_bits': Value('float64'), 'avg_sign_entropy_bits': Value('float64'), 'avg_mantissa_entropy_bits': Value('float64'), 'avg_top_16_coverage': Value('float64'), 'avg_huffman_bits_per_exponent': Value('float64'), 'avg_huffman_full_ratio': Value('float64'), 'avg_huffman_size_reduction_pct': Value('float64'), 'avg_palette_full_ratio': Value('float64'), 'avg_palette_size_reduction_pct': Value('float64'), 'avg_verbatim_row_fraction': Value('float64')}, 'embedding': {'n_tensors': Value('int64'), 'total_elements': Value('int64'), 'total_bytes': Value('int64'), 'total_bytes_human': Value('string'), 'avg_exponent_entropy_bits': Value('float64'), 'avg_sign_entropy_bits': Value('float64'), 'avg_mantissa_entropy_bits': Value('float64'), 'avg_top_16_coverage': Value('float64'), 'avg_huffman_bits_per_exponent': Value('float64'), 'avg_huffman_full_ratio': Value('float64'), 'avg_huffman_size_reduction_pct': Value('float64'), 'avg_palette_full_ratio': Value('float64'), 'avg_palette_size_reduction_pct': Value('float64'), 'avg_verbatim_row_fraction': Value('float64')}}