Datasets:
Dataset Viewer
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
model_label: string
url: string
model: string
mode: string
max_tokens: int64
repeats: int64
context_sweep: list<item: struct<context_tier_tokens: int64, sample_prompt_tokens_qwen_flat: int64, concurrency: in (... 515 chars omitted)
child 0, item: struct<context_tier_tokens: int64, sample_prompt_tokens_qwen_flat: int64, concurrency: int64, ok: in (... 503 chars omitted)
child 0, context_tier_tokens: int64
child 1, sample_prompt_tokens_qwen_flat: int64
child 2, concurrency: int64
child 3, ok: int64
child 4, errors: int64
child 5, error_rate: double
child 6, total_wall_s: double
child 7, avg_ttft_s: double
child 8, sum_decode_tps_all_streams: double
child 9, aggregate_tokens_per_s: null
child 10, total_prompt_tokens: int64
child 11, total_completion_tokens: int64
child 12, per_request: list<item: struct<ok: bool, wall_s: double, error: string, prompt_tokens: int64, completion_tokens: (... 96 chars omitted)
child 0, item: struct<ok: bool, wall_s: double, error: string, prompt_tokens: int64, completion_tokens: int64, ttft (... 84 chars omitted)
child 0, ok: bool
child 1, wall_s: double
child 2, error: string
child 3, prompt_tokens: int64
child 4, completion_tokens: int64
child 5, ttft_s: double
child 6, decode_tps: double
child 7, tokens_per_s: null
child 8, milestone
...
currency_sweep: list<item: struct<concurrency: int64, ok: int64, errors: int64, error_rate: double, total_wall_s: do (... 446 chars omitted)
child 0, item: struct<concurrency: int64, ok: int64, errors: int64, error_rate: double, total_wall_s: double, avg_t (... 434 chars omitted)
child 0, concurrency: int64
child 1, ok: int64
child 2, errors: int64
child 3, error_rate: double
child 4, total_wall_s: double
child 5, avg_ttft_s: double
child 6, sum_decode_tps_all_streams: double
child 7, aggregate_tokens_per_s: null
child 8, total_prompt_tokens: int64
child 9, total_completion_tokens: int64
child 10, per_request: list<item: struct<ok: bool, wall_s: double, error: null, prompt_tokens: int64, completion_tokens: in (... 94 chars omitted)
child 0, item: struct<ok: bool, wall_s: double, error: null, prompt_tokens: int64, completion_tokens: int64, ttft_s (... 82 chars omitted)
child 0, ok: bool
child 1, wall_s: double
child 2, error: null
child 3, prompt_tokens: int64
child 4, completion_tokens: int64
child 5, ttft_s: double
child 6, decode_tps: double
child 7, tokens_per_s: null
child 8, milestone_s: struct<50: double>
child 0, 50: double
child 11, median_decode_tps: double
child 12, p50_time_to_50_tokens_s: double
child 13, mean_decode_tps: double
to
{'model_label': Value('string'), 'url': Value('string'), 'model': Value('string'), 'mode': Value('string'), 'max_tokens': Value('int64'), 'repeats': Value('int64'), 'concurrency_sweep': List({'concurrency': Value('int64'), 'ok': Value('int64'), 'errors': Value('int64'), 'error_rate': Value('float64'), 'total_wall_s': Value('float64'), 'avg_ttft_s': Value('float64'), 'sum_decode_tps_all_streams': Value('float64'), 'aggregate_tokens_per_s': Value('null'), 'total_prompt_tokens': Value('int64'), 'total_completion_tokens': Value('int64'), 'per_request': List({'ok': Value('bool'), 'wall_s': Value('float64'), 'error': Value('null'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'ttft_s': Value('float64'), 'decode_tps': Value('float64'), 'tokens_per_s': Value('null'), 'milestone_s': {'50': Value('float64')}}), 'median_decode_tps': Value('float64'), 'p50_time_to_50_tokens_s': Value('float64'), 'mean_decode_tps': Value('float64')})}
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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 343, 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 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
model_label: string
url: string
model: string
mode: string
max_tokens: int64
repeats: int64
context_sweep: list<item: struct<context_tier_tokens: int64, sample_prompt_tokens_qwen_flat: int64, concurrency: in (... 515 chars omitted)
child 0, item: struct<context_tier_tokens: int64, sample_prompt_tokens_qwen_flat: int64, concurrency: int64, ok: in (... 503 chars omitted)
child 0, context_tier_tokens: int64
child 1, sample_prompt_tokens_qwen_flat: int64
child 2, concurrency: int64
child 3, ok: int64
child 4, errors: int64
child 5, error_rate: double
child 6, total_wall_s: double
child 7, avg_ttft_s: double
child 8, sum_decode_tps_all_streams: double
child 9, aggregate_tokens_per_s: null
child 10, total_prompt_tokens: int64
child 11, total_completion_tokens: int64
child 12, per_request: list<item: struct<ok: bool, wall_s: double, error: string, prompt_tokens: int64, completion_tokens: (... 96 chars omitted)
child 0, item: struct<ok: bool, wall_s: double, error: string, prompt_tokens: int64, completion_tokens: int64, ttft (... 84 chars omitted)
child 0, ok: bool
child 1, wall_s: double
child 2, error: string
child 3, prompt_tokens: int64
child 4, completion_tokens: int64
child 5, ttft_s: double
child 6, decode_tps: double
child 7, tokens_per_s: null
child 8, milestone
...
currency_sweep: list<item: struct<concurrency: int64, ok: int64, errors: int64, error_rate: double, total_wall_s: do (... 446 chars omitted)
child 0, item: struct<concurrency: int64, ok: int64, errors: int64, error_rate: double, total_wall_s: double, avg_t (... 434 chars omitted)
child 0, concurrency: int64
child 1, ok: int64
child 2, errors: int64
child 3, error_rate: double
child 4, total_wall_s: double
child 5, avg_ttft_s: double
child 6, sum_decode_tps_all_streams: double
child 7, aggregate_tokens_per_s: null
child 8, total_prompt_tokens: int64
child 9, total_completion_tokens: int64
child 10, per_request: list<item: struct<ok: bool, wall_s: double, error: null, prompt_tokens: int64, completion_tokens: in (... 94 chars omitted)
child 0, item: struct<ok: bool, wall_s: double, error: null, prompt_tokens: int64, completion_tokens: int64, ttft_s (... 82 chars omitted)
child 0, ok: bool
child 1, wall_s: double
child 2, error: null
child 3, prompt_tokens: int64
child 4, completion_tokens: int64
child 5, ttft_s: double
child 6, decode_tps: double
child 7, tokens_per_s: null
child 8, milestone_s: struct<50: double>
child 0, 50: double
child 11, median_decode_tps: double
child 12, p50_time_to_50_tokens_s: double
child 13, mean_decode_tps: double
to
{'model_label': Value('string'), 'url': Value('string'), 'model': Value('string'), 'mode': Value('string'), 'max_tokens': Value('int64'), 'repeats': Value('int64'), 'concurrency_sweep': List({'concurrency': Value('int64'), 'ok': Value('int64'), 'errors': Value('int64'), 'error_rate': Value('float64'), 'total_wall_s': Value('float64'), 'avg_ttft_s': Value('float64'), 'sum_decode_tps_all_streams': Value('float64'), 'aggregate_tokens_per_s': Value('null'), 'total_prompt_tokens': Value('int64'), 'total_completion_tokens': Value('int64'), 'per_request': List({'ok': Value('bool'), 'wall_s': Value('float64'), 'error': Value('null'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'ttft_s': Value('float64'), 'decode_tps': Value('float64'), 'tokens_per_s': Value('null'), 'milestone_s': {'50': Value('float64')}}), 'median_decode_tps': Value('float64'), 'p50_time_to_50_tokens_s': Value('float64'), 'mean_decode_tps': 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.
Nanbeige4.2-3B AWQ — gentoo quality / speed / context / concurrency gauntlet
Separate dataset from LostGentoo/gentoo-small-model-throughput-vllm. Same harness (conc + ctx throughput + lighteval chat_core), single model: AWQ W4A16 of Nanbeige4.2-3B on the Nanbeige vLLM fork.
Setup
| Setting | Value |
|---|---|
| Host | gentoo (3× RTX 5060 Ti 16 GB) |
| GPU | CUDA device 2 |
| Engine | Nanbeige/vllm @nanbeige42 |
| Model | LostGentoo/Nanbeige4.2-3B-AWQ-W4A16-ASYM |
| max_model_len | 4096 |
| gpu_memory_utilization | 0.70 |
| Throughput gen length | 128 tokens |
| Warmup / repeats | 2 / 2 |
| Concurrency levels | 1, 2, 4, 6, 8, 10, 12, 16, 20 |
| Context tiers | 128, 512, 1024, 2048, 4096 |
| Quality suite | lighteval chat_core = ifeval, gpqa:diamond, mmlu_pro |
| Quality concurrent_requests | 16 |
| Quality note | chat_template thinking default OFF; no --reasoning-parser (answers in content) |
Key findings (throughput)
- Peak aggregate decode @ conc=20: ~1442 sum-of-stream tok/s (wall agg ~1347 tok/s). Scales smoothly with 0 errors.
- Single-stream decode:
87 tok/s @ conc=1 — slower than MiniCPM5-1B (200) / Qwen3.5-0.8B (238) on the same box; closer to Qwen3.5-2B (106). - Context @ conc=10: decode falls from ~78 tok/s/stream @ 128-tier to ~41 @ 2048-tier. 4096 tier n/a (prompt+128 exceeds
max_model_len), same pattern as Qwen in the small-model dataset. - Serve caveat: requires Nanbeige vLLM fork +
trust_remote_code; stock vLLM cannot loadNanbeigeForCausalLM.
Concurrency sweep
| conc | TTFT (ms) | mean decode (tok/s) | sum decode (tok/s) | wall agg (tok/s) | err |
|---|---|---|---|---|---|
| 1 | 17.8 | 87.1 | 87.1 | 86.1 | 0 |
| 2 | 25.0 | 86.6 | 173.2 | 169.3 | 0 |
| 4 | 34.4 | 85.2 | 340.8 | 330.6 | 0 |
| 6 | 46.4 | 84.9 | 509.1 | 490.9 | 0 |
| 8 | 63.1 | 84.4 | 675.0 | 645.5 | 0 |
| 10 | 67.4 | 80.4 | 804.0 | 767.5 | 0 |
| 12 | 80.0 | 80.1 | 961.2 | 910.0 | 0 |
| 16 | 87.8 | 78.5 | 1255.5 | 1179.9 | 0 |
| 20 | 109.0 | 72.1 | 1441.9 | 1346.6 | 0 |
Context sweep
| tier | conc | TTFT (ms) | mean decode (tok/s) | sum decode (tok/s) | wall agg (tok/s) | err |
|---|---|---|---|---|---|---|
| 128 | 1 | 18.4 | 86.9 | 86.9 | 85.9 | 0 |
| 128 | 10 | 49.4 | 78.2 | 781.8 | 702.3 | 0 |
| 512 | 1 | 19.8 | 85.0 | 85.0 | 80.0 | 0 |
| 512 | 10 | 70.3 | 66.3 | 663.4 | 476.9 | 0 |
| 1024 | 1 | 22.0 | 82.5 | 82.5 | 73.9 | 0 |
| 1024 | 10 | 76.1 | 54.7 | 547.2 | 330.6 | 0 |
| 2048 | 1 | 25.5 | 79.2 | 79.2 | 64.7 | 0 |
| 2048 | 10 | 108.7 | 40.8 | 408.5 | 200.6 | 0 |
| 4096 | 1 | n/a | n/a | n/a | n/a | 1 |
| 4096 | 10 | n/a | n/a | n/a | n/a | 10 |
Quality (chat_core)
- source:
quality/LostGentoo_Nanbeige4.2-3B-AWQ-W4A16-ASYM/results/openai/LostGentoo/Nanbeige4.2-3B-AWQ-W4A16-ASYM/results_2026-07-22T12-13-40.991373.json - wall seconds: 16886.941249988973
- max_samples: None
| task | metric | value |
|---|---|---|
| `ifeval | 0` | prompt_level_strict_acc |
| `ifeval | 0` | inst_level_strict_acc |
| `ifeval | 0` | prompt_level_loose_acc |
| `ifeval | 0` | inst_level_loose_acc |
| `gpqa:diamond | 0` | gpqa_pass@k:k=1 |
| `mmlu_pro | 0` | extractive_match |
Quality section updated 2026-07-22T12:14:58
Files
Files
| File | Description |
|---|---|
*_scale_conc.json |
Concurrency sweep |
*_scale_ctx.json |
Context-length sweep |
quality/ |
lighteval chat_core outputs |
SUMMARY.md |
Run log / pass-fail |
README.md |
This card |
Generated 2026-07-22T07:43:40
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