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SlayerLab/Slayer-149M-Decision-v1 · HellaSwag (full validation, character-normalized accuracy) · 40.0% accuracy_char_normalized

Full benchmark split · 10042 scored examples. Full pinned split; primary character-normalized accuracy: argmax summed conditional answer-token log likelihood divided by Python len(choice), excluding the leading delimiter; raw 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

6c275d5661107c0a24f1fb7f
17 Oct 2026, 15:34 UTC

Model revision

ccfd7d3d91f3894beb1cd096b5d067333ba3d4c7

Comparison scope

9ba01dfd8954831947fc9d9e821f5c27a78509f522b87d05d07b1c4f172ae0e6

Evaluator SHA-256

8ba81403e69d93b8121bd05e0ea4f9c55e0dc5c721449f50adfda136d7d976f1

Observed resources

358s elapsed · 1.02 GiB peak torch allocation
Dollar cost: not measured

Download evidence

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

Inspect individual examples

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

Scored examples: 10,042
Passed: 4,014
Failed: 6,028
Metric: accuracy_char_normalized

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