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README.md
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library_name: transformers
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# Lugha-Llama/Lugha-Llama-8B-wura_edu
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<em>Performance of Lugha-Llama models and baselines on <a href="https://arxiv.org/abs/2406.03368"> [IrokoBench]</a>. Languages in italic
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are not present in the continual pre-training data. †: We exclude the high-resource languages English (eng) and French (fra) from the average,
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as they would otherwise skew the results due to strong English base models.</em>
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library_name: transformers
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license: llama3.1
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# Lugha-Llama/Lugha-Llama-8B-wura_edu
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<em>Performance of Lugha-Llama models and baselines on <a href="https://arxiv.org/abs/2406.03368"> [IrokoBench]</a>. Languages in italic
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are not present in the continual pre-training data. †: We exclude the high-resource languages English (eng) and French (fra) from the average,
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as they would otherwise skew the results due to strong English base models.</em>
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</p>
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