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README.md
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value: 69.54
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name: normalized accuracy
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source:
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url:
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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: 84.9
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name: normalized accuracy
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source:
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url:
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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: 68.39
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name: accuracy
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source:
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url:
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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: 60.82
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source:
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url:
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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: 79.4
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name: accuracy
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source:
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url:
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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: 72.93
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name: accuracy
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source:
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url:
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name: Open LLM Leaderboard
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---
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@@ -156,5 +164,4 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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|MMLU (5-Shot) |68.39|
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|TruthfulQA (0-shot) |60.82|
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|Winogrande (5-shot) |79.40|
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|GSM8k (5-shot) |72.93|
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value: 69.54
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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=Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3
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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: 84.9
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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=Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3
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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: 68.39
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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=Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3
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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: 60.82
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3
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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: 79.4
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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=Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3
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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: 72.93
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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=Kukedlc/NeuralLLaMa-3-8b-ORPO-v0.3
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name: Open LLM Leaderboard
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base_model:
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- meta-llama/Meta-Llama-3.1-8B-Instruct
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---
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|MMLU (5-Shot) |68.39|
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|TruthfulQA (0-shot) |60.82|
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|Winogrande (5-shot) |79.40|
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167 |
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|GSM8k (5-shot) |72.93|
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