The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
schema_version: int64
timestamp_utc: string
model: string
sglang_commit: string
tp_size: int64
prompt: string
max_tokens: int64
temperature: int64
diff_threshold: double
dumper_filter: string
num_tensor_files: int64
pass_label: string
source: string
num_layers_passed: int64
num_layers_compared: int64
max_rel_diff: double
run_path: string
num_layers_failed: int64
date: timestamp[s]
hardware: string
ci_run_id: string
push_index: int64
to
{'date': Value('timestamp[s]'), 'model': Value('string'), 'run_path': Value('string'), 'sglang_commit': Value('string'), 'push_index': Value('int64'), 'hardware': Value('string'), 'tp_size': Value('int64'), 'pass_label': Value('string'), 'ci_run_id': Value('string'), 'num_layers_compared': Value('int64'), 'num_layers_passed': Value('int64'), 'num_layers_failed': Value('int64'), 'max_rel_diff': Value('float64')}
because column names don't match
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 299, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
schema_version: int64
timestamp_utc: string
model: string
sglang_commit: string
tp_size: int64
prompt: string
max_tokens: int64
temperature: int64
diff_threshold: double
dumper_filter: string
num_tensor_files: int64
pass_label: string
source: string
num_layers_passed: int64
num_layers_compared: int64
max_rel_diff: double
run_path: string
num_layers_failed: int64
date: timestamp[s]
hardware: string
ci_run_id: string
push_index: int64
to
{'date': Value('timestamp[s]'), 'model': Value('string'), 'run_path': Value('string'), 'sglang_commit': Value('string'), 'push_index': Value('int64'), 'hardware': Value('string'), 'tp_size': Value('int64'), 'pass_label': Value('string'), 'ci_run_id': Value('string'), 'num_layers_compared': Value('int64'), 'num_layers_passed': Value('int64'), 'num_layers_failed': Value('int64'), 'max_rel_diff': Value('float64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
sglang nightly precision baselines
Day-over-day per-layer hidden_states dumps captured by sglang's
debug_utils/dumper, used as rolling baselines for the nightly
precision-regression CI job.
Layout
<model_id_sanitized>/<YYYY>/<MM>/<DD>/run-<sglang_sha7>/
meta.json # schema_version=1 run config + result summary
comparator_report.jsonl # one ComparisonTensorRecord per line + summary
tensors/ # raw .pt files (torch.load-able dict)
step=*___rank=*___dump_index=*___name=...pt
model_id_sanitized replaces / with __ (HF-friendly).
manifest.jsonl at the repo root: one JSONL row per run, append-only.
Dump format
Each .pt file is torch.save({"value": tensor, "meta": dict}). meta carries
step / rank / dump_index / name / sglang_parallel_info / layer_id etc; the
filename also encodes the discriminative subset for fast read_meta() parsing.
Diff strategy
Hidden states are captured at each DecoderLayer entry (inputs.1), which is a
per-tp-rank partial sum (sglang's LayerCommunicator defers the cross-layer
allreduce to the next layer's prepare_*). The comparator's --override-dims
bs h[tp:partial] sums the 8 rank tensors on the h axis before diffing the
target run against the previous-day baseline; this is deterministic for fixed
TP/seed/prompt.
- Downloads last month
- 8