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README.md
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value: 73.81
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name: normalized accuracy
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source:
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name: Open LLM Leaderboard
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type: text-generation
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value: 89.22
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name: normalized accuracy
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source:
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name: Open LLM Leaderboard
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type: text-generation
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value: 64.92
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name: accuracy
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name: Open LLM Leaderboard
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type: text-generation
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- type: mc2
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value: 78.57
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source:
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name: Open LLM Leaderboard
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type: text-generation
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value: 87.37
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name: accuracy
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source:
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name: Open LLM Leaderboard
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type: text-generation
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value: 71.11
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name: accuracy
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name: Open LLM Leaderboard
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---
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| --- | --- |
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|[](https://colab.research.google.com/drive/1y2XmAGrQvVfbgtimTsCBO3tem735q7HZ?usp=sharing) | MixTAO-7Bx2-MoE-v8.1 |
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|[mixtao-7bx2-moe-v8.1.Q4_K_M.gguf](https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1-GGUF/resolve/main/mixtao-7bx2-moe-v8.1.Q4_K_M.gguf) | GGUF of MixTAO-7Bx2-MoE-v8.1 <br> Only Q4_K_M in https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1-GGUF |
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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_zhengr__MixTAO-7Bx2-MoE-v8.1)
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|MMLU (5-Shot) |64.92|
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|TruthfulQA (0-shot) |78.57|
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|Winogrande (5-shot) |87.37|
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|GSM8k (5-shot) |71.11|
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value: 73.81
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name: normalized accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 89.22
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name: normalized accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 64.92
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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- type: mc2
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value: 78.57
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 87.37
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 71.11
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zhengr/MixTAO-7Bx2-MoE-v8.1
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name: Open LLM Leaderboard
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---
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| --- | --- |
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|[](https://colab.research.google.com/drive/1y2XmAGrQvVfbgtimTsCBO3tem735q7HZ?usp=sharing) | MixTAO-7Bx2-MoE-v8.1 |
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|[mixtao-7bx2-moe-v8.1.Q4_K_M.gguf](https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1-GGUF/resolve/main/mixtao-7bx2-moe-v8.1.Q4_K_M.gguf) | GGUF of MixTAO-7Bx2-MoE-v8.1 <br> Only Q4_K_M in https://huggingface.co/zhengr/MixTAO-7Bx2-MoE-v8.1-GGUF |
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| Demo Space | https://zhengr-mixtao-7bx2-moe-v8-1.hf.space/ |
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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_zhengr__MixTAO-7Bx2-MoE-v8.1)
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|MMLU (5-Shot) |64.92|
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|TruthfulQA (0-shot) |78.57|
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|Winogrande (5-shot) |87.37|
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|GSM8k (5-shot) |71.11|
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