Hugging Face's logo

Datasets:
AtomicChat
/
FLUX-3-Image-Klein-pup-Uncensored-GGUF-metrics

Tags:
atomic-chat
gguf
abliteration
metrics
License:
Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
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
config: string
writers_max: double
worst_writer: string
writers: struct<attn_output: double, ffn_out: double, linear_attn_out: double, model.input_embed: double>
  child 0, attn_output: double
  child 1, ffn_out: double
  child 2, linear_attn_out: double
  child 3, model.input_embed: double
ple_conv: struct<>
residual_max: double
file_type: int64
label: string
flags: list<item: null>
  child 0, item: null
rules_sha256: string
from: string
ftype: string
predicted_bytes: int64
to
{'label': Value('string'), 'ftype': Value('string'), 'flags': List(Value('null')), 'predicted_bytes': Value('int64'), 'file_type': Value('int64'), 'rules_sha256': Value('string'), 'from': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              config: string
              writers_max: double
              worst_writer: string
              writers: struct<attn_output: double, ffn_out: double, linear_attn_out: double, model.input_embed: double>
                child 0, attn_output: double
                child 1, ffn_out: double
                child 2, linear_attn_out: double
                child 3, model.input_embed: double
              ple_conv: struct<>
              residual_max: double
              file_type: int64
              label: string
              flags: list<item: null>
                child 0, item: null
              rules_sha256: string
              from: string
              ftype: string
              predicted_bytes: int64
              to
              {'label': Value('string'), 'ftype': Value('string'), 'flags': List(Value('null')), 'predicted_bytes': Value('int64'), 'file_type': Value('int64'), 'rules_sha256': Value('string'), 'from': Value('string')}
              because column names don't match

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.

FLUX-3-Image-Klein-pup-Uncensored-GGUF metrics

Everything behind the numbers in AtomicChat/FLUX-3-Image-Klein-pup-Uncensored-GGUF (the abliterated prompt upsampler):

path what
ablit/dirs/, ablit/wstar/ the refusal directions, the chosen edit (W*), its LoRA and gate results
ablit/screen/ the screening of the edit variants on validation prompts (summaries)
ablit/comp/ the other uncensored builds measured on the same stand (summaries)
ablit/baked/<file>/ each published file: KLD to the original BF16, refusal counts, the direction left in the weights
kld/ the original BF16's logits on the neutral text, the KLD reference
logs/ conversion, quantization, KLD and leak logs

The raw answers to harmful prompts and the prompt sets themselves are not published.
Downloads last month
85
Total file size:
30.7 MB

Collection including AtomicChat/FLUX-3-Image-Klein-pup-Uncensored-GGUF-metrics