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README.md
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@@ -86,6 +86,17 @@ Currently, we are working on more suitable benchmarks for Spanish, French, Germa
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<details>
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<summary>Evaluation results</summary>
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</details>
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<details>
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<summary>Evaluation results</summary>
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### German
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| | arc_challenge_de | belebele_de | hellaswag_de | mmlu_de | truthfulqa_de | avg |
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|:-------------------------------------|-------------------:|--------------:|---------------:|----------:|----------------:|---------:|
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| occiglot/occiglot-7b-eu5 | 0.493584 | 0.646667 | 0.666631 | 0.483406 | 0.251269 | 0.508311 |
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| occiglot/occiglot-7b-eu5-instruct | 0.529512 | 0.667778 | 0.685205 | 0.488234 | 0.286802 | 0.531506 |
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| occiglot/occiglot-7b-de-en | 0.50556 | 0.743333 | 0.67421 | 0.514633 | 0.26269 | 0.540085 |
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| occiglot/occiglot-7b-de-en-instruct | 0.54491 | 0.772222 | 0.688407 | 0.515915 | 0.310914 | 0.566474 |
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| LeoLM/leo-mistral-hessianai-7b | 0.474765 | 0.691111 | 0.682109 | 0.488309 | 0.252538 | 0.517766 |
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| mistralai/Mistral-7B-v0.1 | 0.476476 | 0.738889 | 0.610589 | 0.529567 | 0.284264 | 0.527957 |
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| mistralai/Mistral-7B-Instruct-v0.2 | 0.485885 | 0.688889 | 0.622438 | 0.501961 | 0.376904 | 0.535215 |
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</details>
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