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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'q3_k_m'})

This happened while the json dataset builder was generating data using

hf://datasets/mozilla-ai/gguf-jlens-artifacts/out/ranks5/bf16__multihop.json (at revision c5d630beee8cd20e8977f55dd5db7e9ad493add5), ['hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__poetry.json'], ['hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__poetry.json']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              idx: int64
              name: string
              pos: int64
              q8_0: struct<intermediates: list<item: struct<best: int64, per_layer: list<item: int64>>>, top10: list<ite (... 22 chars omitted)
                child 0, intermediates: list<item: struct<best: int64, per_layer: list<item: int64>>>
                    child 0, item: struct<best: int64, per_layer: list<item: int64>>
                        child 0, best: int64
                        child 1, per_layer: list<item: int64>
                            child 0, item: int64
                child 1, top10: list<item: list<item: int64>>
                    child 0, item: list<item: int64>
                        child 0, item: int64
              q4_k_m: struct<intermediates: list<item: struct<best: int64, per_layer: list<item: int64>>>, top10: list<ite (... 22 chars omitted)
                child 0, intermediates: list<item: struct<best: int64, per_layer: list<item: int64>>>
                    child 0, item: struct<best: int64, per_layer: list<item: int64>>
                        child 0, best: int64
                        child 1, per_layer: list<item: int64>
                            child 0, item: int64
                child 1, top10: list<item: list<item: int64>>
                    child 0, item: list<item: int64>
                        child 0, item: int64
              q3_k_m: struct<intermediates: list<item: struct<best: int64, per_layer: list<item: int64>>>, top10: list<ite (... 22 chars omitted)
                child 0, intermediates: list<item: struct<best: int64, per_layer: list<item: int64>>>
                    child 0, item: struct<best: int64, per_layer: list<item: int64>>
                        child 0, best: int64
                        child 1, per_layer: list<item: int64>
                            child 0, item: int64
                child 1, top10: list<item: list<item: int64>>
                    child 0, item: list<item: int64>
                        child 0, item: int64
              bf16-control: struct<intermediates: list<item: struct<best: int64, per_layer: list<item: int64>>>, top10: list<ite (... 22 chars omitted)
                child 0, intermediates: list<item: struct<best: int64, per_layer: list<item: int64>>>
                    child 0, item: struct<best: int64, per_layer: list<item: int64>>
                        child 0, best: int64
                        child 1, per_layer: list<item: int64>
                            child 0, item: int64
                child 1, top10: list<item: list<item: int64>>
                    child 0, item: list<item: int64>
                        child 0, item: int64
              np1000: struct<intermediates: list<item: struct<best: int64, per_layer: list<item: int64>>>, top10: list<ite (... 22 chars omitted)
                child 0, intermediates: list<item: struct<best: int64, per_layer: list<item: int64>>>
                    child 0, item: struct<best: int64, per_layer: list<item: int64>>
                        child 0, best: int64
                        child 1, per_layer: list<item: int64>
                            child 0, item: int64
                child 1, top10: list<item: list<item: int64>>
                    child 0, item: list<item: int64>
                        child 0, item: int64
              to
              {'idx': Value('int64'), 'name': Value('string'), 'pos': Value('int64'), 'q8_0': {'intermediates': List({'best': Value('int64'), 'per_layer': List(Value('int64'))}), 'top10': List(List(Value('int64')))}, 'q4_k_m': {'intermediates': List({'best': Value('int64'), 'per_layer': List(Value('int64'))}), 'top10': List(List(Value('int64')))}, 'bf16-control': {'intermediates': List({'best': Value('int64'), 'per_layer': List(Value('int64'))}), 'top10': List(List(Value('int64')))}, 'np1000': {'intermediates': List({'best': Value('int64'), 'per_layer': List(Value('int64'))}), 'top10': List(List(Value('int64')))}}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'q3_k_m'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/mozilla-ai/gguf-jlens-artifacts/out/ranks5/bf16__multihop.json (at revision c5d630beee8cd20e8977f55dd5db7e9ad493add5), ['hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__poetry.json'], ['hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks5/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks6/q8_0__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/bf16__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q4_k_m__poetry.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__multihop.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__multilingual.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__order-ops.json', 'hf://datasets/mozilla-ai/gguf-jlens-artifacts@c5d630beee8cd20e8977f55dd5db7e9ad493add5/out/ranks_s2/q8_0__poetry.json']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

idx
int64
name
string
pos
int64
q8_0
dict
q4_k_m
dict
bf16-control
dict
np1000
dict
0
carnival-ocean
18
{ "intermediates": [ { "best": 945, "per_layer": [ 23437, 17570, 9141, 14218, 17024, 14914, 7235, 7050, 6368, 4734, 6034, 2114, 1853, 3115, 2173, 1449, 945 ] ...
{ "intermediates": [ { "best": 861, "per_layer": [ 17294, 14208, 8052, 13686, 15239, 11982, 4919, 5059, 4280, 3456, 4624, 1601, 1629, 2626, 1889, 1292, 861 ] ...
{ "intermediates": [ { "best": 1033, "per_layer": [ 24079, 20280, 11127, 19270, 21088, 17591, 8179, 7630, 6861, 4931, 5952, 2085, 2078, 3346, 2313, 1595, 1033 ]...
{ "intermediates": [ { "best": 984, "per_layer": [ 23641, 19361, 10490, 17922, 17591, 12424, 5559, 5524, 5159, 4292, 5566, 2365, 2331, 4023, 3141, 1717, 984 ] ...
1
amazon-language
14
{ "intermediates": [ { "best": 119, "per_layer": [ 4510, 2776, 2907, 2864, 2217, 2339, 1949, 1886, 1105, 900, 867, 519, 161, 219, 304, 119, 128 ] } ], "...
{ "intermediates": [ { "best": 113, "per_layer": [ 2473, 2263, 2197, 2335, 1778, 1889, 1572, 1433, 872, 643, 645, 362, 127, 186, 272, 113, 126 ] } ], "t...
{ "intermediates": [ { "best": 121, "per_layer": [ 4014, 3004, 2796, 3066, 2305, 2463, 2096, 1877, 1226, 892, 813, 510, 173, 233, 327, 121, 133 ] } ], "...
{ "intermediates": [ { "best": 98, "per_layer": [ 3428, 2601, 2383, 3037, 2274, 1952, 1745, 1708, 910, 786, 749, 488, 182, 228, 317, 98, 120 ] } ], "top...
2
mars-color
12
{ "intermediates": [ { "best": 24, "per_layer": [ 3110, 2012, 2344, 3039, 2911, 2312, 1697, 1187, 1805, 2389, 979, 375, 125, 211, 86, 31, 24 ] } ], "top...
{ "intermediates": [ { "best": 24, "per_layer": [ 3539, 1951, 2174, 2934, 2907, 2368, 1789, 1094, 1639, 2121, 880, 349, 109, 198, 89, 30, 24 ] } ], "top...
{ "intermediates": [ { "best": 24, "per_layer": [ 2961, 1975, 2360, 3185, 3031, 2354, 1739, 1228, 1795, 2397, 1004, 381, 125, 212, 87, 33, 24 ] } ], "to...
{ "intermediates": [ { "best": 24, "per_layer": [ 2445, 1439, 1746, 2285, 2369, 1859, 1489, 1097, 1541, 2010, 676, 307, 102, 150, 68, 32, 24 ] } ], "top...
3
spider-legs
13
{ "intermediates": [ { "best": 1, "per_layer": [ 71062, 24679, 18681, 14291, 15332, 14067, 19041, 22569, 14505, 18805, 9911, 1110, 152, 237, 63, 1, 1 ] } ...
{ "intermediates": [ { "best": 1, "per_layer": [ 68139, 24738, 19947, 14832, 16296, 15258, 18851, 18730, 13123, 16643, 7912, 880, 131, 212, 59, 1, 1 ] } ]...
{ "intermediates": [ { "best": 1, "per_layer": [ 65509, 25686, 20603, 14865, 15807, 15059, 21467, 21890, 14507, 17489, 9032, 1053, 153, 235, 63, 1, 1 ] } ...
{ "intermediates": [ { "best": 1, "per_layer": [ 59522, 23886, 17601, 14708, 16346, 15626, 21658, 21699, 14071, 17807, 8221, 756, 117, 176, 38, 1, 1 ] } ]...
4
basketball-players
17
{ "intermediates": [ { "best": 5, "per_layer": [ 192, 244, 195, 331, 478, 785, 529, 462, 129, 206, 47, 49, 26, 88, 19, 25, 5 ] } ], "top10": [ [ ...
{ "intermediates": [ { "best": 6, "per_layer": [ 218, 312, 216, 396, 596, 1167, 753, 531, 140, 221, 46, 42, 20, 71, 19, 25, 6 ] } ], "top10": [ [ ...
{ "intermediates": [ { "best": 5, "per_layer": [ 189, 252, 180, 333, 481, 781, 561, 453, 128, 207, 46, 50, 26, 89, 19, 25, 5 ] } ], "top10": [ [ ...
{ "intermediates": [ { "best": 6, "per_layer": [ 128, 137, 108, 194, 432, 570, 520, 366, 97, 158, 31, 27, 13, 29, 18, 25, 6 ] } ], "top10": [ [ ...
5
paper-continent
13
{ "intermediates": [ { "best": 129, "per_layer": [ 1845, 460, 401, 607, 537, 580, 557, 787, 403, 392, 277, 194, 175, 129, 239, 192, 220 ] } ], "top10": ...
{ "intermediates": [ { "best": 118, "per_layer": [ 1304, 465, 416, 615, 503, 497, 517, 531, 317, 294, 210, 152, 145, 118, 210, 179, 213 ] } ], "top10": ...
{ "intermediates": [ { "best": 128, "per_layer": [ 1862, 534, 490, 731, 603, 606, 608, 755, 426, 375, 248, 169, 174, 128, 242, 196, 234 ] } ], "top10": ...
{ "intermediates": [ { "best": 148, "per_layer": [ 1494, 541, 382, 614, 512, 458, 628, 642, 325, 254, 208, 157, 178, 148, 311, 238, 296 ] } ], "top10": ...
6
christmas-season
13
{ "intermediates": [ { "best": 0, "per_layer": [ 989, 1070, 736, 725, 1757, 1651, 1480, 1455, 695, 559, 126, 36, 5, 3, 3, 13, 0 ] } ], "top10": [ [ ...
{ "intermediates": [ { "best": 0, "per_layer": [ 933, 1016, 759, 708, 1472, 1418, 1418, 1261, 652, 545, 122, 34, 6, 3, 3, 14, 0 ] } ], "top10": [ [ ...
{ "intermediates": [ { "best": 0, "per_layer": [ 1053, 1036, 731, 707, 1673, 1539, 1437, 1495, 701, 584, 128, 34, 5, 3, 3, 14, 0 ] } ], "top10": [ [...
{ "intermediates": [ { "best": 0, "per_layer": [ 1157, 1577, 904, 1080, 1806, 1413, 1678, 1531, 707, 573, 113, 21, 4, 3, 3, 8, 0 ] } ], "top10": [ [...
7
osu-rival-mascot
14
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topeka-west
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atomic-79-symbol
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atomic-26-symbol
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atomic-29-symbol
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atomic-80-state
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atomic-29-flame
17
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planet-3-moons
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month-3-godof
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spaceneedle-border
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rhyme-rain-neighbor
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rhyme-door-doubled
20
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rhyme-chair-flag
20
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rhyme-spoon-orbit
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21
etym-wargod-month
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22
etym-frigg-position
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23
etym-saturn-position
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24
chem-photosynthesis-Z
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25
chem-atmosphere-Z
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chem-organic-Z
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27
chem-bones-Z
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func-pumps-chambers
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func-filters-count
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30
birthstone-emerald-month
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31
violin-strings
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32
nhop-primary-planet
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33
nhop-rings-planet
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34
nhop-guitar-planet
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35
nhop-compass-planet
35
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{ "intermediates": [ { "best": 13, "per_layer": [ 20, 16, 18, 19, 50, 49, 40, 25, 24, 19, 13, 19, 51, 107, 163, 285, 798 ] }, { "best": 544, ...
{ "intermediates": [ { "best": 10, "per_layer": [ 16, 13, 15, 12, 38, 35, 37, 26, 16, 14, 10, 18, 38, 75, 106, 221, 562 ] }, { "best": 595, ...
{ "intermediates": [ { "best": 11, "per_layer": [ 17, 21, 18, 14, 39, 50, 42, 43, 27, 19, 11, 30, 54, 106, 167, 301, 761 ] }, { "best": 619, ...
36
nhop-volleyball-planet
37
{ "intermediates": [ { "best": 1, "per_layer": [ 27, 26, 16, 19, 55, 72, 44, 26, 16, 10, 1, 16, 35, 63, 118, 429, 1738 ] }, { "best": 234, "...
{ "intermediates": [ { "best": 1, "per_layer": [ 28, 24, 22, 27, 67, 74, 53, 27, 18, 10, 1, 11, 36, 66, 138, 487, 2110 ] }, { "best": 162, "...
{ "intermediates": [ { "best": 1, "per_layer": [ 23, 26, 16, 17, 57, 69, 45, 26, 15, 9, 1, 16, 34, 63, 118, 427, 1805 ] }, { "best": 218, "p...
{ "intermediates": [ { "best": 6, "per_layer": [ 19, 28, 26, 23, 75, 102, 59, 43, 31, 17, 6, 23, 57, 95, 178, 635, 2594 ] }, { "best": 341, ...
37
nhop-alphabet-element
37
{ "intermediates": [ { "best": 18, "per_layer": [ 29, 37, 40, 37, 26, 18, 19, 23, 27, 168, 263, 468, 627, 1541, 3131, 3325, 859 ] } ], "top10": [ [ ...
{ "intermediates": [ { "best": 17, "per_layer": [ 22, 33, 36, 29, 28, 17, 17, 22, 25, 151, 238, 407, 579, 1403, 2791, 3263, 885 ] } ], "top10": [ [ ...
{ "intermediates": [ { "best": 18, "per_layer": [ 28, 39, 45, 40, 28, 19, 18, 26, 31, 180, 261, 480, 697, 1615, 3379, 3825, 940 ] } ], "top10": [ [ ...
{ "intermediates": [ { "best": 17, "per_layer": [ 19, 28, 36, 29, 22, 17, 23, 30, 48, 237, 302, 472, 646, 1388, 2650, 2586, 657 ] } ], "top10": [ [ ...
38
nhop-fortnight-element
37
{ "intermediates": [ { "best": 15, "per_layer": [ 27, 38, 36, 38, 16, 15, 15, 18, 45, 215, 236, 431, 657, 1237, 2531, 2643, 724 ] } ], "top10": [ [ ...
{ "intermediates": [ { "best": 15, "per_layer": [ 23, 35, 34, 31, 17, 15, 15, 16, 40, 185, 212, 367, 602, 1117, 2294, 2476, 732 ] } ], "top10": [ [ ...
{ "intermediates": [ { "best": 15, "per_layer": [ 28, 40, 40, 41, 18, 15, 15, 19, 51, 221, 245, 437, 724, 1318, 2711, 2930, 785 ] } ], "top10": [ [ ...
{ "intermediates": [ { "best": 13, "per_layer": [ 19, 29, 32, 30, 18, 13, 16, 20, 78, 293, 283, 439, 673, 1158, 2315, 2170, 562 ] } ], "top10": [ [ ...
39
nhop-cube-element
36
{ "intermediates": [ { "best": 5, "per_layer": [ 7, 7, 5, 6, 7, 6, 6, 9, 9, 11, 14, 21, 84, 110, 149, 190, 146 ] }, { "best": 790, "per_laye...
{ "intermediates": [ { "best": 5, "per_layer": [ 7, 7, 5, 5, 7, 7, 7, 9, 11, 13, 18, 26, 116, 145, 184, 238, 198 ] }, { "best": 747, "per_la...
{ "intermediates": [ { "best": 6, "per_layer": [ 7, 7, 6, 6, 8, 6, 7, 9, 9, 12, 14, 20, 82, 112, 146, 183, 145 ] }, { "best": 802, "per_laye...
{ "intermediates": [ { "best": 7, "per_layer": [ 7, 10, 8, 7, 7, 7, 8, 10, 12, 21, 20, 29, 107, 130, 164, 201, 143 ] }, { "best": 849, "per_...
40
nhop-rainbow-element
36
{ "intermediates": [ { "best": 7, "per_layer": [ 9, 9, 8, 7, 9, 9, 11, 12, 13, 18, 22, 39, 102, 104, 108, 175, 200 ] } ], "top10": [ [ 16, ...
{ "intermediates": [ { "best": 8, "per_layer": [ 9, 12, 9, 8, 9, 9, 11, 15, 14, 25, 31, 45, 144, 148, 158, 240, 261 ] } ], "top10": [ [ 13, ...
{ "intermediates": [ { "best": 8, "per_layer": [ 9, 11, 9, 8, 9, 9, 11, 13, 13, 18, 22, 37, 105, 103, 107, 172, 196 ] } ], "top10": [ [ 16, ...
{ "intermediates": [ { "best": 8, "per_layer": [ 9, 16, 11, 9, 8, 10, 13, 19, 24, 31, 33, 48, 134, 127, 139, 221, 209 ] } ], "top10": [ [ 16, ...
41
nhop-spider-element
36
{ "intermediates": [ { "best": 8, "per_layer": [ 10, 9, 9, 8, 10, 10, 9, 10, 13, 12, 15, 15, 40, 66, 59, 82, 120 ] } ], "top10": [ [ 16, ...
{ "intermediates": [ { "best": 8, "per_layer": [ 8, 9, 9, 8, 9, 10, 9, 10, 13, 14, 15, 14, 52, 91, 76, 102, 151 ] } ], "top10": [ [ 13, ...
{ "intermediates": [ { "best": 8, "per_layer": [ 8, 9, 9, 8, 9, 10, 9, 10, 13, 12, 15, 15, 42, 64, 58, 77, 118 ] } ], "top10": [ [ 16, 1...
{ "intermediates": [ { "best": 8, "per_layer": [ 9, 10, 11, 8, 9, 9, 12, 12, 16, 20, 17, 18, 54, 84, 71, 99, 121 ] } ], "top10": [ [ 16, ...
42
nhop-insect-element
36
{ "intermediates": [ { "best": 5, "per_layer": [ 7, 7, 5, 5, 5, 6, 6, 9, 9, 12, 15, 24, 90, 120, 139, 193, 173 ] }, { "best": 841, "per_laye...
{ "intermediates": [ { "best": 4, "per_layer": [ 7, 8, 6, 4, 5, 7, 7, 9, 11, 14, 20, 27, 124, 162, 167, 251, 209 ] }, { "best": 787, "per_la...
{ "intermediates": [ { "best": 5, "per_layer": [ 7, 7, 5, 5, 5, 7, 6, 9, 11, 12, 14, 21, 85, 118, 135, 190, 167 ] }, { "best": 872, "per_lay...
{ "intermediates": [ { "best": 5, "per_layer": [ 7, 9, 7, 5, 6, 7, 7, 9, 11, 22, 23, 33, 120, 151, 162, 212, 169 ] }, { "best": 878, "per_la...
43
nhop-week-element
36
{ "intermediates": [ { "best": 7, "per_layer": [ 8, 8, 7, 7, 9, 8, 7, 10, 11, 14, 15, 25, 105, 105, 76, 54, 43 ] } ], "top10": [ [ 13, 1...
{ "intermediates": [ { "best": 8, "per_layer": [ 8, 9, 8, 8, 9, 8, 8, 10, 11, 16, 21, 34, 141, 143, 105, 80, 71 ] } ], "top10": [ [ 13, ...
{ "intermediates": [ { "best": 7, "per_layer": [ 8, 8, 7, 8, 9, 8, 8, 10, 11, 14, 15, 24, 102, 100, 78, 51, 42 ] } ], "top10": [ [ 16, 1...
{ "intermediates": [ { "best": 8, "per_layer": [ 8, 12, 9, 9, 8, 8, 9, 10, 12, 24, 28, 38, 130, 122, 93, 62, 47 ] } ], "top10": [ [ 16, ...
44
super-largest-country-capital
12
{ "intermediates": [ { "best": 3, "per_layer": [ 898, 886, 799, 771, 1763, 1447, 1721, 1261, 2224, 551, 460, 134, 19, 16, 30, 10, 3 ] } ], "top10": [ ...
{ "intermediates": [ { "best": 2, "per_layer": [ 710, 782, 832, 736, 1720, 1276, 1416, 1067, 1726, 467, 402, 95, 12, 13, 28, 10, 2 ] } ], "top10": [ ...
{ "intermediates": [ { "best": 3, "per_layer": [ 912, 935, 848, 884, 2067, 1588, 1902, 1370, 2370, 552, 446, 126, 19, 16, 31, 11, 3 ] } ], "top10": [ ...
{ "intermediates": [ { "best": 2, "per_layer": [ 1182, 1360, 1178, 1324, 2423, 1783, 2369, 1715, 2728, 652, 507, 133, 20, 17, 34, 9, 2 ] } ], "top10": [...
45
super-smallest-continent
14
{ "intermediates": [ { "best": 1687, "per_layer": [ 41947, 36730, 22911, 23326, 26470, 26990, 13724, 17119, 11127, 8740, 10699, 4670, 2516, 4301, 1687, 1855, 2315 ...
{ "intermediates": [ { "best": 1805, "per_layer": [ 37689, 30279, 19182, 17685, 21492, 21955, 11963, 15994, 11547, 10131, 13069, 5319, 2686, 4506, 1805, 1968, 2377 ...
{ "intermediates": [ { "best": 1663, "per_layer": [ 41963, 34696, 20734, 20162, 22977, 24597, 12817, 16370, 10733, 8415, 10874, 4706, 2480, 4188, 1663, 1785, 2248 ...
{ "intermediates": [ { "best": 1961, "per_layer": [ 39597, 31897, 24344, 24856, 24312, 23886, 12835, 14707, 11816, 9616, 13068, 5446, 3158, 5007, 1961, 2104, 2505 ...
46
super-populous-capital
14
{ "intermediates": [ { "best": 130, "per_layer": [ 3060, 1831, 1931, 3128, 2929, 3234, 2182, 2177, 1742, 745, 673, 332, 130, 208, 282, 989, 393 ] } ], "...
{ "intermediates": [ { "best": 95, "per_layer": [ 1685, 1527, 1824, 2991, 2742, 2496, 1564, 1431, 1207, 505, 452, 255, 95, 181, 244, 948, 386 ] } ], "to...
{ "intermediates": [ { "best": 128, "per_layer": [ 2962, 2141, 2578, 4067, 3813, 3635, 2373, 2305, 1848, 733, 615, 317, 128, 213, 297, 1042, 414 ] } ], ...
{ "intermediates": [ { "best": 125, "per_layer": [ 2028, 1992, 2509, 4202, 3269, 2572, 1939, 1723, 1477, 549, 592, 284, 125, 213, 311, 1006, 460 ] } ], ...
47
super-largest-island-nation
16
{ "intermediates": [ { "best": 676, "per_layer": [ 16958, 8343, 5035, 6635, 6642, 6456, 3448, 4244, 6405, 4243, 2746, 2597, 726, 2014, 1786, 1060, 676 ] } ...
{ "intermediates": [ { "best": 597, "per_layer": [ 13669, 7732, 4354, 5615, 5839, 5480, 2837, 3393, 5004, 3016, 2091, 2021, 667, 1707, 1464, 921, 597 ] } ...
{ "intermediates": [ { "best": 706, "per_layer": [ 17232, 10385, 5371, 7891, 7593, 7095, 3884, 4644, 6816, 4320, 2719, 2514, 754, 2107, 1811, 1111, 706 ] } ...
{ "intermediates": [ { "best": 802, "per_layer": [ 14865, 8812, 5409, 8022, 8851, 7189, 4645, 4525, 7602, 4642, 3257, 2997, 969, 2638, 2364, 1387, 802 ] } ...
48
colosseum-currency
16
{ "intermediates": [ { "best": 196, "per_layer": [ 5511, 6091, 5435, 2715, 2416, 1613, 1153, 1011, 2709, 5765, 4328, 2085, 2086, 4311, 2964, 333, 196 ] } ...
{ "intermediates": [ { "best": 204, "per_layer": [ 5364, 5527, 4546, 2423, 2286, 1476, 880, 884, 2376, 5237, 4354, 2127, 2207, 4393, 3042, 346, 204 ] } ],...
{ "intermediates": [ { "best": 201, "per_layer": [ 4839, 6585, 5363, 2532, 2443, 1597, 1113, 1046, 2905, 5843, 4387, 2105, 2289, 4638, 3243, 342, 201 ] } ...
{ "intermediates": [ { "best": 197, "per_layer": [ 3706, 4631, 4091, 2312, 3083, 1607, 1257, 1051, 3071, 6677, 5743, 3153, 3602, 6673, 3961, 344, 197 ] } ...
End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

gguf-jlens artifacts

Heavy artifacts for the gguf-jlens project (Jacobian lens on GGUF-quantized Qwen3.5-4B) — kept out of git and mirrored here.

  • lenses/ — fitted Jacobian lenses (*.pt) and resume checkpoints (*.ckpt.pt): q8_0, q4_k_m, q3_k_m, q2_k, bf16-control (+ -s2 disjoint-sample replicas).
  • models/ — GGUFs quantized locally from the unsloth BF16 file (Q3_K_M, Q2_K).
  • out/ — per-item rank dumps (ranks/, ranks5/, ranks6/), slice pages, fit logs.

Restore into a clone with python scripts/artifacts.py pull. Derived from Apache-2.0 Qwen3.5-4B + WikiText; see the code repo's docs/writeup.md.

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