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@@ -9,7 +9,7 @@ while been comparable to it across different benchmarks. You can use it as a dro
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  mera-mix-4x7B achieves 76.37 on the openLLM eval v/s 72.7 by Mixtral-8x7B (as shown [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mistralai__Mixtral-8x7B-Instruct-v0.1)).
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- # OpenLLM Eval
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  | Model | ARC |HellaSwag|MMLU |TruthfulQA|Winogrande|GSM8K|Average|
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  |-------------------------------------------------------------|----:|--------:|----:|---------:|---------:|----:|------:|
 
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  mera-mix-4x7B achieves 76.37 on the openLLM eval v/s 72.7 by Mixtral-8x7B (as shown [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mistralai__Mixtral-8x7B-Instruct-v0.1)).
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+ ## OpenLLM Eval
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  | Model | ARC |HellaSwag|MMLU |TruthfulQA|Winogrande|GSM8K|Average|
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  |-------------------------------------------------------------|----:|--------:|----:|---------:|---------:|----:|------:|