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Update README.md

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@@ -150,6 +150,18 @@ Currently, we are working on more suitable benchmarks for Spanish, French, Germa
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  | mistralai/Mistral-7B-v0.1 | 0.528205 | 0.747778 | 0.672712 | 0.544023 | 0.281369 | 0.554817 |
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  | mistralai/Mistral-7B-Instruct-v0.2 | 0.54188 | 0.73 | 0.685406 | 0.511699 | 0.373891 | 0.568575 |
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  </details>
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  ## Acknowledgements
 
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  | mistralai/Mistral-7B-v0.1 | 0.528205 | 0.747778 | 0.672712 | 0.544023 | 0.281369 | 0.554817 |
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  | mistralai/Mistral-7B-Instruct-v0.2 | 0.54188 | 0.73 | 0.685406 | 0.511699 | 0.373891 | 0.568575 |
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+ ### French
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+ | | arc_challenge_fr | belebele_fr | hellaswag_fr | mmlu_fr | truthfulqa_fr | avg |
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+ |:-------------------------------------|-------------------:|--------------:|---------------:|----------:|----------------:|---------:|
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+ | occiglot/occiglot-7b-eu5 | 0.506416 | 0.675556 | 0.712358 | 0.495684 | 0.23507 | 0.525017 |
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+ | occiglot/occiglot-7b-eu5-instruct | 0.541488 | 0.7 | 0.724245 | 0.499122 | 0.306226 | 0.554216 |
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+ | occiglot/occiglot-7b-fr-en | 0.532934 | 0.706667 | 0.718891 | 0.51333 | 0.242694 | 0.542903 |
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+ | occiglot/occiglot-7b-fr-en-instruct | 0.542344 | 0.752222 | 0.72553 | 0.52051 | 0.29479 | 0.567079 |
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+ | OpenLLM-France/Claire-Mistral-7B-0.1 | 0.486741 | 0.694444 | 0.642964 | 0.479566 | 0.271919 | 0.515127 |
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+ | mistralai/Mistral-7B-v0.1 | 0.525235 | 0.776667 | 0.66481 | 0.543121 | 0.280813 | 0.558129 |
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+ | mistralai/Mistral-7B-Instruct-v0.2 | 0.551754 | 0.758889 | 0.67916 | 0.506837 | 0.382465 | 0.575821 |
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  </details>
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  ## Acknowledgements