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Language / BoolQ (full validation, raw likelihood accuracy)

BoolQ / full sub-1B common core (native)

Provided context/question + candidate answers → selected answer

Model size vs score

Static, watermarked figures. SlayerLab models are red. The close-up expands the crowded small-model cluster without changing any coordinates.

BoolQ (full validation, raw likelihood accuracy): all measured models, with a dotted Pareto frontier and peach favourable region
Overview · Download PNG · Download SVG
BoolQ (full validation, raw likelihood accuracy): small-model close-up, with a dotted Pareto frontier and peach favourable region
Small-model close-up · Download PNG · Download SVG

Measured results

Full pinned test split · 3,270 examples · accuracy higher is better. No global SOTA claim.

SystemScoreSamplesElapsed¹Evidence
Qwen/Qwen2.5-0.5B-Instruct
7ae557604adf
68.0%327084sInspect run →
17 Oct 2026, 15:40 UTC
SlayerLab/Slayer139-1.01b
283ffb6d620b
60.2%327060sInspect run →
17 Oct 2026, 15:46 UTC
SlayerLab/Slayer149
7857dd28ec05
60.0%327074sInspect run →
17 Oct 2026, 15:42 UTC
SlayerLab/Slayer-149M-Decision-v1
ccfd7d3d91f3
59.9%327075sInspect run →
17 Oct 2026, 15:43 UTC
SlayerLab/Slayer149-Balanced-ARC-E-ft-45500
e7d4b8dea441
59.4%327075sInspect run →
17 Oct 2026, 15:38 UTC
SlayerLab/Slayer149-Balanced-ARC-E-ft-v2
7d11e8fd6376
57.6%327071sInspect run →
17 Oct 2026, 16:02 UTC
SlayerLab/Slayer149-ARC
0e6793ecfb85
55.9%327075sInspect run →
17 Oct 2026, 15:24 UTC
SlayerLab/Slayer139-1.02
c4298d757ba3
54.4%327064sInspect run →
17 Oct 2026, 15:45 UTC
SlayerLab/Slayer139-1.01
2e72c696d7c5
53.6%327060sInspect run →
17 Oct 2026, 15:44 UTC
HuggingFaceTB/SmolLM2-135M-Instruct
12fd25f77366
43.4%327029sInspect run →
17 Oct 2026, 15:41 UTC
HuggingFaceTB/SmolLM2-360M-Instruct
a10cc1512eab
42.2%327069sInspect run →
17 Oct 2026, 15:43 UTC

¹ Evaluation elapsed time includes model loading after dataset selection. It is not serving latency or a fair speed comparison.

What this measures

Dataset / split
aps/super_glue / validation
Immutable dataset revision
3de24cf8022e94f4ee4b9d55a6f539891524d646
Upstream license metadata
other · consult upstream terms
Protocol
codesota-common-core-native-boolq-lm-eval-v2 / choice
Selection
All 3270 examples in the pinned test split. SNLI rows without a valid label are excluded.
Configuration
Seed 42. Greedy generation for math and code. Summed conditional answer-token log likelihood; raw accuracy. Character-normalized accuracy is recorded separately. No model judge.
Read scoring and comparison rules →

Planned runs

0 qualified visits in 30 days · priority 1000.0. Interest changes execution order, within the approved baseline list.

SystemStatus
SlayerLab/Slayer149-ARCcompleted
SlayerLab/Slayer149-Balanced-ARC-E-ft-45500completed
Qwen/Qwen2.5-0.5B-Instructcompleted
SlayerLab/Slayer149completed
HuggingFaceTB/SmolLM2-135M-Instructcompleted
HuggingFaceTB/SmolLM2-360M-Instructcompleted
SlayerLab/Slayer-149M-Decision-v1completed
SlayerLab/Slayer139-1.01completed
SlayerLab/Slayer139-1.02completed
SlayerLab/Slayer139-1.01bcompleted
SlayerLab/Slayer149-Balanced-ARC-E-ft-v2completed
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