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Card: Polish leaderboard columns (two independent implementations)

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@@ -35,6 +35,14 @@ weights via `load_slayer.py`, and the trainer checkpoint directly); both gave th
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  | WikiText-2 (raw, test) | byte perplexity | 1 292 008 bytes | 2.5857 |
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  | eff (leaderboard score from BLiMP, ARC-Easy and WikiText-2 byte perplexity) | leaderboard formula | — | 69.50 |
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  ## Usage
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  The weights are a plain PyTorch state dict in safetensors; they are not a `transformers` AutoModel. The model class
 
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  | WikiText-2 (raw, test) | byte perplexity | 1 292 008 bytes | 2.5857 |
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  | eff (leaderboard score from BLiMP, ARC-Easy and WikiText-2 byte perplexity) | leaderboard formula | — | 69.50 |
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+ Polish columns of the same leaderboard (also computed twice with two independent implementations; identical item by
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+ item):
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+
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+ | task | metric | n | score |
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+ |---|---|---:|---:|
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+ | MultiBLiMP, Polish (`jumelet/multiblimp` pol) | accuracy, summed log-probability, leading-space prefix | 3 272 | 97.89 % (3 203 correct) |
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+ | ARC-Easy-PL (`Eurolingua/arcx` EU20, test) | accuracy, LL(q + choice) − LL(q) | 2 376 | 36.91 % (877 correct) |
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+
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  ## Usage
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  The weights are a plain PyTorch state dict in safetensors; they are not a `transformers` AutoModel. The model class