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@@ -38,7 +38,7 @@ and beats Gemma-2 (256k vocab) with only a 65k vocabulary.
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  ## Benchmarks
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  All benchmarks use **1000 randomly sampled real-world texts**
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- (500 Russian + 500 English) with fixed seed (`42`).
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  Margin of error: **±1%**.
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  ### vs GPT-2 (50k)
 
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  ## Benchmarks
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  All benchmarks use **1000 randomly sampled real-world texts**
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+ (500 Russian + 500 English) with fixed seed (`42`)
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  Margin of error: **±1%**.
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  ### vs GPT-2 (50k)