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SlayerLab/Slayer149-ARC · BoolQ (full validation, raw likelihood accuracy) · 55.9% accuracy

Full benchmark split · 3270 scored examples. Full pinned split; primary raw summed conditional answer-token log likelihood accuracy; character-normalized accuracy is a separate diagnostic. Explicit pinned prompt schema, no chat/BOS. Left context truncated only if prompt plus answer exceeds 1024 tokens. Generic text diagnostic does not validate specialist declared tasks.

Run ID / completed

81dce281154d893d5a981222
17 Oct 2026, 15:24 UTC

Model revision

0e6793ecfb8501dccc1c97dcd944731748eb8d17

Comparison scope

7f2a4b46461d9e7fe0763f55ef1a046476cd093351d877ad5515e16812e1bdca

Evaluator SHA-256

8ba81403e69d93b8121bd05e0ea4f9c55e0dc5c721449f50adfda136d7d976f1

Observed resources

75s elapsed · 1.29 GiB peak torch allocation
Dollar cost: not measured

Download evidence

result.json samples.jsonl environment.json evaluate.py manifest.json

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Read the recorded prediction, reference and outcome for each example.

Scored examples: 3,270
Passed: 1,827
Failed: 1,443
Metric: accuracy

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