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@@ -89,7 +89,7 @@ We use [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-eval
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  ## AGIEval Performance
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- We compare our results to our base Preview2 model (using LM Evaluation Harness).
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  We find **129%** of the base model's performance on AGI Eval, averaging **0.397**.
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  As well, we significantly improve upon the official `mistralai/Mistral-7B-Instruct-v0.1` finetuning, achieving **119%** of their performance.
 
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  ## AGIEval Performance
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+ We compare our results to the base Mistral-7B model (using LM Evaluation Harness).
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  We find **129%** of the base model's performance on AGI Eval, averaging **0.397**.
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  As well, we significantly improve upon the official `mistralai/Mistral-7B-Instruct-v0.1` finetuning, achieving **119%** of their performance.