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@@ -114,6 +114,7 @@ mera-mix-4x7B achieves 76.37 on the openLLM eval v/s 72.7 by Mixtral-8x7B (as sh
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  You can try the model with the [Mera Mixture Chat](https://huggingface.co/spaces/meraGPT/mera-mixture-chat).
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  ## OpenLLM Eval
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  | Model | ARC |HellaSwag|MMLU |TruthfulQA|Winogrande|GSM8K|Average|
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  |[mera-mix-4x7B](https://huggingface.co/meraGPT/mera-mix-4x7B)|72.01| 88.82|63.67| 77.45| 84.61|71.65| 76.37|
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  Raw eval results are available at this [gist](https://gist.github.com/codelion/78f88333230801c9bbaa6fc22078d820)
 
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  # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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  Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_meraGPT__mera-mix-4x7B)
 
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  You can try the model with the [Mera Mixture Chat](https://huggingface.co/spaces/meraGPT/mera-mixture-chat).
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  ## OpenLLM Eval
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  | Model | ARC |HellaSwag|MMLU |TruthfulQA|Winogrande|GSM8K|Average|
 
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  |[mera-mix-4x7B](https://huggingface.co/meraGPT/mera-mix-4x7B)|72.01| 88.82|63.67| 77.45| 84.61|71.65| 76.37|
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  Raw eval results are available at this [gist](https://gist.github.com/codelion/78f88333230801c9bbaa6fc22078d820)
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  # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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  Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_meraGPT__mera-mix-4x7B)