The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 2 new columns ({'family', 'correct'}) and 5 missing columns ({'mean_latency_ms', 'preferred_match', 'route_correct', 'errored', 'mean_resp_chars'}).
This happened while the csv dataset builder was generating data using
hf://datasets/moebiusT7/gemma4-quant-regime-study/data/family_rates.csv (at revision 21bbd758241a027b9153f1b27f924738e0504322), ['hf://datasets/moebiusT7/gemma4-quant-regime-study@21bbd758241a027b9153f1b27f924738e0504322/data/cell_metrics.csv', 'hf://datasets/moebiusT7/gemma4-quant-regime-study@21bbd758241a027b9153f1b27f924738e0504322/data/family_rates.csv', 'hf://datasets/moebiusT7/gemma4-quant-regime-study@21bbd758241a027b9153f1b27f924738e0504322/data/paired_quant_effect.csv', 'hf://datasets/moebiusT7/gemma4-quant-regime-study@21bbd758241a027b9153f1b27f924738e0504322/data/regime_output_divergence.csv']
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
size: string
regime: string
suite: string
family: string
n: int64
correct: int64
rate: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1039
to
{'size': Value('string'), 'regime': Value('string'), 'suite': Value('string'), 'n': Value('int64'), 'errored': Value('int64'), 'route_correct': Value('int64'), 'rate': Value('float64'), 'preferred_match': Value('float64'), 'mean_latency_ms': Value('float64'), 'mean_resp_chars': Value('float64')}
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 2 new columns ({'family', 'correct'}) and 5 missing columns ({'mean_latency_ms', 'preferred_match', 'route_correct', 'errored', 'mean_resp_chars'}).
This happened while the csv dataset builder was generating data using
hf://datasets/moebiusT7/gemma4-quant-regime-study/data/family_rates.csv (at revision 21bbd758241a027b9153f1b27f924738e0504322), ['hf://datasets/moebiusT7/gemma4-quant-regime-study@21bbd758241a027b9153f1b27f924738e0504322/data/cell_metrics.csv', 'hf://datasets/moebiusT7/gemma4-quant-regime-study@21bbd758241a027b9153f1b27f924738e0504322/data/family_rates.csv', 'hf://datasets/moebiusT7/gemma4-quant-regime-study@21bbd758241a027b9153f1b27f924738e0504322/data/paired_quant_effect.csv', 'hf://datasets/moebiusT7/gemma4-quant-regime-study@21bbd758241a027b9153f1b27f924738e0504322/data/regime_output_divergence.csv']
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.
size string | regime string | suite string | n int64 | errored int64 | route_correct int64 | rate float64 | preferred_match float64 | mean_latency_ms float64 | mean_resp_chars float64 |
|---|---|---|---|---|---|---|---|---|---|
12B | PTQ | smoke | 100 | 0 | 88 | 0.88 | 0.57 | 2,954.5 | 790.9 |
12B | PTQ | core500 | 500 | 0 | 380 | 0.76 | 0.544 | 2,481.5 | 750.6 |
12B | QAT | smoke | 100 | 0 | 86 | 0.86 | 0.58 | 2,888 | 857.8 |
12B | QAT | core500 | 500 | 0 | 374 | 0.748 | 0.542 | 2,626.3 | 834.3 |
26B | PTQ | smoke | 100 | 0 | 83 | 0.83 | 0.58 | 3,739.4 | 922.4 |
26B | PTQ | core500 | 500 | 0 | 369 | 0.738 | 0.54 | 3,251.8 | 874.8 |
26B | QAT | smoke | 100 | 0 | 86 | 0.86 | 0.56 | 1,862.5 | 926.1 |
26B | QAT | core500 | 500 | 0 | 378 | 0.756 | 0.54 | 1,613.4 | 898.6 |
12B | PTQ | smoke | 5 | null | null | 0.8 | null | null | null |
12B | PTQ | smoke | 10 | null | null | 0.9 | null | null | null |
12B | PTQ | smoke | 10 | null | null | 1 | null | null | null |
12B | PTQ | smoke | 25 | null | null | 1 | null | null | null |
12B | PTQ | smoke | 15 | null | null | 0.9333 | null | null | null |
12B | PTQ | smoke | 35 | null | null | 0.7429 | null | null | null |
12B | PTQ | core500 | 25 | null | null | 0.56 | null | null | null |
12B | PTQ | core500 | 50 | null | null | 0.66 | null | null | null |
12B | PTQ | core500 | 50 | null | null | 0.92 | null | null | null |
12B | PTQ | core500 | 125 | null | null | 0.984 | null | null | null |
12B | PTQ | core500 | 75 | null | null | 0.9467 | null | null | null |
12B | PTQ | core500 | 175 | null | null | 0.5314 | null | null | null |
12B | QAT | smoke | 5 | null | null | 0.8 | null | null | null |
12B | QAT | smoke | 10 | null | null | 0.9 | null | null | null |
12B | QAT | smoke | 10 | null | null | 1 | null | null | null |
12B | QAT | smoke | 25 | null | null | 1 | null | null | null |
12B | QAT | smoke | 15 | null | null | 0.9333 | null | null | null |
12B | QAT | smoke | 35 | null | null | 0.6857 | null | null | null |
12B | QAT | core500 | 25 | null | null | 0.6 | null | null | null |
12B | QAT | core500 | 50 | null | null | 0.64 | null | null | null |
12B | QAT | core500 | 50 | null | null | 0.92 | null | null | null |
12B | QAT | core500 | 125 | null | null | 0.984 | null | null | null |
12B | QAT | core500 | 75 | null | null | 0.9467 | null | null | null |
12B | QAT | core500 | 175 | null | null | 0.4971 | null | null | null |
26B | PTQ | smoke | 5 | null | null | 0.6 | null | null | null |
26B | PTQ | smoke | 10 | null | null | 0.9 | null | null | null |
26B | PTQ | smoke | 10 | null | null | 1 | null | null | null |
26B | PTQ | smoke | 25 | null | null | 1 | null | null | null |
26B | PTQ | smoke | 15 | null | null | 0.9333 | null | null | null |
26B | PTQ | smoke | 35 | null | null | 0.6286 | null | null | null |
26B | PTQ | core500 | 25 | null | null | 0.48 | null | null | null |
26B | PTQ | core500 | 50 | null | null | 0.6 | null | null | null |
26B | PTQ | core500 | 50 | null | null | 0.92 | null | null | null |
26B | PTQ | core500 | 125 | null | null | 0.976 | null | null | null |
26B | PTQ | core500 | 75 | null | null | 0.96 | null | null | null |
26B | PTQ | core500 | 175 | null | null | 0.4971 | null | null | null |
26B | QAT | smoke | 5 | null | null | 0.8 | null | null | null |
26B | QAT | smoke | 10 | null | null | 0.8 | null | null | null |
26B | QAT | smoke | 10 | null | null | 1 | null | null | null |
26B | QAT | smoke | 25 | null | null | 1 | null | null | null |
26B | QAT | smoke | 15 | null | null | 0.9333 | null | null | null |
26B | QAT | smoke | 35 | null | null | 0.7143 | null | null | null |
26B | QAT | core500 | 25 | null | null | 0.6 | null | null | null |
26B | QAT | core500 | 50 | null | null | 0.58 | null | null | null |
26B | QAT | core500 | 50 | null | null | 0.92 | null | null | null |
26B | QAT | core500 | 125 | null | null | 0.984 | null | null | null |
26B | QAT | core500 | 75 | null | null | 0.96 | null | null | null |
26B | QAT | core500 | 175 | null | null | 0.5314 | null | null | null |
12B | null | core500 | null | null | null | null | null | null | null |
26B | null | core500 | null | null | null | null | null | null | null |
12B | null | smoke | null | null | null | null | null | null | null |
26B | null | smoke | null | null | null | null | null | null | null |
12B | null | core500 | 500 | null | null | 0.296 | null | null | null |
26B | null | core500 | 500 | null | null | 0.232 | null | null | null |
12B | null | smoke | 100 | null | null | 0.32 | null | null | null |
26B | null | smoke | 100 | null | null | 0.27 | null | null | null |
Gemma 4 Quantization-Regime Study (QAT Q4_0 vs PTQ Q4_K_M)
A same-day 2×2 study (quantization regime × released model pair) of governed routing quality for Gemma 4 12B IT (dense; a clean same-base pair) and a 26B-class MoE released pair on one RTX 5070 Ti, run under a fixed, bit-identical governance stack via Ollama. Companion/sequel to the Gemma 4 MTP Quality–Throughput Study (2026-08-09, DOI 10.5281/zenodo.21860461).
Author: Taiko Toeda, Independent Researcher ORCID: https://orcid.org/0009-0001-7267-0201 Version: 1.0.1 DOI: 10.5281/zenodo.21875513 (published 2026-08-11)
Result boundary
Aggregate route correctness spanned 0.738–0.760 on Core-500 (N=500 rows =
100 paraphrase stems × 5); no equivalence test was run, and one
cross-model contrast (12B-PTQ vs 26B-PTQ) is nominally significant
(p=0.035). The within-pair regime effects were individually marginal and
oppositely signed — QAT −0.012 on the dense 12B (McNemar p=0.070) and
+0.018 on the 26B released pair (p=0.078) — and the regime × pair
interaction, an exploratory single-run endpoint, was +0.030 with a
stem-clustered bootstrap 95% CI of [+0.010, +0.052] (task-iid CI
[+0.008, +0.052]), concentrated in the volatile-current task family
(crossed pattern). Cross-regime byte-identity of temperature-0 outputs
was only 23–32 %, against same-configuration Smoke-100 repeats of
100/100 in all four cells (including the CPU-offloaded 26B-PTQ cell,
across run windows) and a 100/100 num_ctx byte-identity control.
Safety-critical failure rates were 0.000 in seven of eight runs, with a
single over-verification event (0.008) in 26B-PTQ Core-500.
These results apply only to the measured GPU, runtime (Ollama 0.30.6),
the released model artifacts named in ENVIRONMENT.md, one governance
stack, and routing/abstention-style tasks. The 26B released pair
confounds regime with a possible base revision (25.8B vs 25.2B), an
expert configuration unverifiable from runtime metadata, and a
CPU-offload compute path; only the 12B pair is a clean same-base,
all-GPU contrast. All inferential results are exploratory (no
preregistration, single run per cell, no multiplicity correction). See
CLAIMS_MATRIX.md before reusing any claim.
Public artifact boundary
This public package excludes verbatim task prompts, generated output text,
raw row-level request records, local paths, and the private internal
archive. It retains the paper, processed measurements, per-family and
paired statistics, environment and model digests, the deterministic
analysis script, and SHA-256 hashes that identify every excluded raw
artifact (data/RAW_ARTIFACT_HASHES.sha256). The evaluation harness is
public at github.com/mobius-style/mmv (operate-fr-bench/); the
OPERATE-FR suite items themselves are project-local and identified by hash
in ENVIRONMENT.md.
Layout
PAPER.md — full study. EXECUTIVE_SUMMARY.md — condensed findings.
CLAIMS_MATRIX.md — claim-by-claim evidence boundaries.
REPRODUCE.md — commands and artifact map. ENVIRONMENT.md — pinned
environment, model digests, suite hashes. data/ — processed tables and
statistics. analysis/ — deterministic analysis script (Apache-2.0).
Licensing: see LICENSE.md (split license).
- Downloads last month
- 14