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@@ -18,7 +18,13 @@ llama3-8b-spaetzle-v20 is a merge of the following models:
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  * [cstr/llama3-8b-spaetzle-v13](https://huggingface.co/cstr/llama3-8b-spaetzle-v13)
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  * [nbeerbower/llama-3-wissenschaft-8B-v2](https://huggingface.co/nbeerbower/llama-3-wissenschaft-8B-v2)
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- On EQ-Bench v2_de it achieves 65.7 (171/171 parseable).
 
 
 
 
 
 
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  ## 🧩 Configuration
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  * [cstr/llama3-8b-spaetzle-v13](https://huggingface.co/cstr/llama3-8b-spaetzle-v13)
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  * [nbeerbower/llama-3-wissenschaft-8B-v2](https://huggingface.co/nbeerbower/llama-3-wissenschaft-8B-v2)
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+ # Benchmarks
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+ On EQ-Bench v2_de it achieves 65.7 (171/171 parseable). From Open LLM Leaderboard ([details](https://huggingface.co/datasets/open-llm-leaderboard/details_cstr__llama3-8b-spaetzle-v20/blob/main/results_2024-05-25T12-52-23.640126.json)):
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+
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+ | Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
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+ |----------------------------------|------------|-------|-----------|-------|------------|------------|-------|
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+ | cstr/llama3-8b-spaetzle-v20 | 71.83 | 70.39 | 85.69 | 68.52 | 60.98 | 78.37 | 67.02 |
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+
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  ## 🧩 Configuration
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