Lugha-Llama
/

Lugha-Llama-8B-wura_math

Text Generation

text-generation-inference

Inference Endpoints

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Happyb commited on 28 days ago

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@@ -36,8 +36,11 @@ Contact `{happy.buzaaba@, awettig@cs}princeton.edu`
 Our main result
-![main_result.png](https://cdn-uploads.huggingface.co/production/uploads/62a8501e1c396da5716cfca2/uCwycVoV5dNj-DbjJv9vL.png)
-*Performance of Lugha-Llama models and baselines on IrokoBench [Adelani et al., 2024](https://arxiv.org/abs/2406.03368). Languages in italic
 are not present in the continual pre-training data. †: We exclude the high-resource languages English (eng) and French (fra) from the average,
-as they would otherwise skew the results due to strong English base models.*

 Our main result
+![main_result.png](https://cdn-uploads.huggingface.co/production/uploads/62a8501e1c396da5716cfca2/MZw0c4TAnRPYNVdhru7Uo.png)
+<p align="center">
+<em>Performance of Lugha-Llama models and baselines on <a href="https://arxiv.org/abs/2406.03368"> [IrokoBench]</a>. Languages in italic
 are not present in the continual pre-training data. †: We exclude the high-resource languages English (eng) and French (fra) from the average,
+as they would otherwise skew the results due to strong English base models.</em>
+</p>