Update README.md

README.md

@@ -51,7 +51,7 @@ Arcee Meraj Mini model consistently outperforms state-of-the-art models on most
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 #### Translated MMLU
-We focused on the multilingual MMLU dataset, as distributed through the LM Evaluation Harness repository, to compare the multilingual strength of different models for this benchmark. Arcee Meraj Mini along with the base model, Qwen2.5-7B-Instruct outperforms the other models, showcasing these models’ superior performance compared to the other state-of-the-art models.
+We focused on the multilingual MMLU dataset, as distributed through the LM Evaluation Harness repository, to compare the multilingual strength of different models for this benchmark. Arcee Meraj Mini outperforms the other models, showcasing these models’ superior performance compared to the other state-of-the-art models.
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   <img src="https://i.ibb.co/dfwW1W5/W-B-Chart-10-15-2024-2-07-12-PM.png" alt="Arcee Meraj Mini Trnalsated MMLU" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 80%; height: auto;">
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