Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ParserError
Message:      Error tokenizing data. C error: Expected 2 fields in line 17, saw 15

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4523, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2768, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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/csv/csv.py", line 198, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                                       ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                         ~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                         ~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                      ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      nrows
                      ^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 2 fields in line 17, saw 15

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.

bloomery reference sets

The oracle files of the fixture tier of bloomery: intermediate tensors that ik_llama.cpp dumped while it ran bloomery's fixture models (the image tower's taps: mainline llama.cpp's mtmd). A fixture is a GGUF with random weights and the shape of a real model. The sets are raw little-endian f32 tensors plus a MANIFEST.tsv each. They hold no model weights. bloomery's gates compare the engine against them.

Sets: 18. Files: 29978. Size: 7.60 GB.

family fixture dir sets files size
deepseek41 /models/fixtures/v41 4 5507 1.02 GB
glm5next /models/fixtures/glm5next 8 10458 4.91 GB
qwen4exp /models/fixtures/qwen38 6 14013 1.67 GB

Make the fixture files

The sets belong to fixtures, and the fixtures are not in this repo. fixture fetch makes one from the headers of its source model's files (a few MB per shard); its table of sources is in the bloomery repo (crates/model/src/bin/fixture.rs, SPECS):

fixture fetch deepseek41 /models/fixtures/v41
fixture fetch glm5next /models/fixtures/glm5next
fixture fetch qwen4exp /models/fixtures/qwen38

The DeepSeek V4.1 DSpark draft fixture cannot be fetched, so no set of it is here. The set ref-mtp/fx_qwen4exp_prose64_n64_k1 also names the fixture's MTP draft file, /models/fixtures/qwen38/mtp-Qwen3.8-Flash-Next-shared-Q8_0.gguf, which fixture fetch makes with the fixture.

The path is part of the identity

A set states the fixture it was dumped from by its full path, /models/fixtures/<dir>/<file>. Make the fixtures at those paths. On a machine without /models, make /models/fixtures a symlink to where you keep them.

Put the sets in place

The repo mirrors $BLOOMERY_DATA: a set is fx_.../<file> or ref-mtp/fx_.../<file>, the path the gates read. One download is the whole install:

hf download --repo-type dataset midagedev/bloomery-refsets --local-dir "$BLOOMERY_DATA"

To take one family, name its sets with --include. The sets of each family:

  • deepseek41: fx_ref_deepseek41_d1_every_node, fx_ref_deepseek41_d1n_every_node, fx_ref_deepseek41_d2_every_node, fx_ref_deepseek41_step4_every_node
  • glm5next: fx_ref_glm5next, fx_ref_glm5next_d16kdsa, fx_ref_glm5next_d1k, fx_ref_glm5next_d3kdsa, fx_ref_glm5next_step4, fx_ref_glm5next_step4_every_node, ref-mtp/fx_prose64_n64_k1
  • qwen4exp: fx_ref_qwen4exp, fx_ref_qwen4exp_d1k, fx_ref_qwen4exp_d3k, fx_ref_qwen4exp_step4, fx_ref_qwen4exp_step4_every_node, ref-mtp/fx_qwen4exp_prose64_n64_k1

Optional check, from $BLOOMERY_DATA: sha256sum --quiet -c SHA256SUMS. It lists every file of the repo, so on a partial download it reports the files you did not take as missing. The download also puts README.md and SHA256SUMS in $BLOOMERY_DATA.

Licences

Each fixture takes its shape from the header of one source model, and each set holds outputs of an engine that ran that fixture. The source models' licences are below, and each text is in LICENCES/. Read them before you reuse a set outside bloomery's gates.

fx_ref_glm5next_vis_taps holds the GLM-5.3-Flash image tower's taps (vit_out, after_fc_proj, after_ffn_proj and the final embeddings of nine images). Mainline llama.cpp's mtmd dumped it at build 36a73916e, on the fixture's text model respelled in mainline's names; its # respell line names the fixture file it was cut from.

The fixture files are not here and hold no weights of the source models.

Prompt corpora

Token ids, one per line, of the prose prompts bloomery's runs feed.

file ids sha256
glm5next/corpus-prose.ids 71727 8af07981c1749170b57d424cff5274b89be063c1eb44ffa3a443ddc16642bb64
engram/corpus-prose.ids 75268 9c93ed03cfb513ab36520492de19330cfe779f1505ce07647942a60a9dd12cb2

Put them at $BLOOMERY_DATA/glm5next/corpus-prose.ids and $BLOOMERY_DATA/engram/corpus-prose.ids.

Left out

Not published, because they cannot be remade off the maintainers' machine byte for byte, or their source is not verified:

  • fx_iq4xs_ref_glm5next: a set of the fixture variant 'iq4xs': the variant file is requantized on the box and cannot be made again byte for byte off it
  • fx_iq4xs_ref_glm5next_step4: a set of the fixture variant 'iq4xs': the variant file is requantized on the box and cannot be made again byte for byte off it
  • fx_iq4xs_ref_glm5next_step4_every_node: a set of the fixture variant 'iq4xs': the variant file is requantized on the box and cannot be made again byte for byte off it
  • ref-mtp/fx_iq4xs_prose64_n64_k1: a set of the fixture variant 'iq4xs': the variant file is requantized on the box and cannot be made again byte for byte off it
Downloads last month
129