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README.md
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@@ -22,6 +22,7 @@ tinyllama-3 | 0.3029 | 0.5935 | 0.7329 | 0.5959 | 0.5563 |
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tinyllama-2.5 | 0.3191 | 0.5896 | 0.7307 | 0.5872 | 0.5566 |
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palmer-002 | 0.3242 | 0.5956 | 0.7345 | 0.5888 | 0.5607 |
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babbage-002 | 0.3285 | 0.6380 | 0.7606 | 0.6085 | 0.5839 |
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```
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This model shows exceptional performance and as of now is the best tinyllama-size base model. Furthermore, this proves LIMA paper point and serves as a good open-source alternative to openai's `babbage-002`.
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tinyllama-2.5 | 0.3191 | 0.5896 | 0.7307 | 0.5872 | 0.5566 |
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palmer-002 | 0.3242 | 0.5956 | 0.7345 | 0.5888 | 0.5607 |
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babbage-002 | 0.3285 | 0.6380 | 0.7606 | 0.6085 | 0.5839 |
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# note that this is a zero-shot setting as opposite to open llm leaderboard's few-shot evals.
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```
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This model shows exceptional performance and as of now is the best tinyllama-size base model. Furthermore, this proves LIMA paper point and serves as a good open-source alternative to openai's `babbage-002`.
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