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Eurux-8x22b-nca

Text Generation
Transformers
Safetensors
mixtral
reasoning
preference_learning
nca
conversational
text-generation-inference
Inference Endpoints
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@@ -43,7 +43,7 @@ It achieves superb reasoning performance as well as exellent chat & instruction-
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  ## Evaluation
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  We conducted overall coding, math, reasoning, knowledge, instruction-following and chat benchmarking. Results are shown below:
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- | Models / Tasks | Coding | | | Math | | | Reasoning | Knowledge | Ins-Following | Chat |
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  |-----------------|:---------:|:-----:|:--------:|:-------:|:-----:|:---------:|:---------:|:---------:|:-------------:|:--------:|
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  | Datasets | HumanEval | MBPP | LeetCode | GSMPLUS | MATH | TheoremQA | BBH (CoT) | MMLU | IFEval | MT-Bench |
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  | GPT-3.5-Turbo | 76.8 | 82.5 | 23.3 | 61.2 | 37.8 | 35.6 | 70.1 | 70.0 | 56.6 | 7.94 |
 
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  ## Evaluation
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  We conducted overall coding, math, reasoning, knowledge, instruction-following and chat benchmarking. Results are shown below:
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+ | Models&Tasks | Coding | | | Math | | | Reasoning | Knowledge | Ins-Following | Chat |
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  |-----------------|:---------:|:-----:|:--------:|:-------:|:-----:|:---------:|:---------:|:---------:|:-------------:|:--------:|
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  | Datasets | HumanEval | MBPP | LeetCode | GSMPLUS | MATH | TheoremQA | BBH (CoT) | MMLU | IFEval | MT-Bench |
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  | GPT-3.5-Turbo | 76.8 | 82.5 | 23.3 | 61.2 | 37.8 | 35.6 | 70.1 | 70.0 | 56.6 | 7.94 |