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SlayerLab/Slayer-149M-Decision-v1 · ARC-Challenge (full test, raw likelihood accuracy) · 26.1% accuracy

Full benchmark split · 1172 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

3f2816bfe776578a9ba35efc
17 Oct 2026, 15:17 UTC

Model revision

ccfd7d3d91f3894beb1cd096b5d067333ba3d4c7

Comparison scope

e7984b7ea3a9cae0996b0a453de457a6a7d717e9a2c3e9a95d80f697f8bd5afb

Evaluator SHA-256

8ba81403e69d93b8121bd05e0ea4f9c55e0dc5c721449f50adfda136d7d976f1

Observed resources

43s elapsed · 0.83 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: 1,172
Passed: 306
Failed: 866
Metric: accuracy

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