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Model: Lugha-Llama/Lugha-Llama-8B-wura_edu Source: Original Platform
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README.md
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library_name: transformers
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license: llama3.1
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### Lugha-Llama: Adapting Large Language Models for African Languages
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Authors: [Happy Buzaaba](https://buzaabah.github.io/), [Alexander Wettig](https://www.cs.princeton.edu/~awettig/), [David Ifeoluwa Adelani](https://dadelani.github.io/), [Christiane Fellbaum](https://www.cs.princeton.edu/people/profile/fellbaum)
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Low-resource african languages remain underrepresented in the large training datasets of large language models (LLMs) and, as a result, LLMs struggle to understand these languages.
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We are releasing three African-centric **Lugha-Llama** models based on [Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B), which achieve the *best performance* among open-source models on
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[IrokoBench](https://arxiv.org/abs/2406.03368), a challenging African languages benchmark and [AfriQA](https://arxiv.org/abs/2305.06897), a cross-lingual open-retrieval question answering dataset for African languages (Lugha is the Kiswahili word for "language").
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<!-- Provide a quick summary of what the model is/does. -->
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All Lugha-Llama models are available on 🤗 [**huggingface hub**](https://huggingface.co/Lugha-Llama).
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Read about the findings in this [Lugha-Llama blog post](https://blog.ai.princeton.edu/2025/04/22/lugha-llama-adapting-large-language-models-for-african-languages/).
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For the details and findings check the [Lugha-Llama paper](https://arxiv.org/pdf/2504.06536).
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