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Adding Evaluation Results (#3)

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- Adding Evaluation Results (268c899f0d44bd7060d6f796c2c264da53e4c822)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

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  1. README.md +112 -13
README.md CHANGED
@@ -21,8 +21,7 @@ model-index:
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  value: 72.53
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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=vicgalle/ConfigurableBeagle-11B
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -38,8 +37,7 @@ model-index:
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  value: 88.85
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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=vicgalle/ConfigurableBeagle-11B
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -56,8 +54,7 @@ model-index:
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  value: 66.71
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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=vicgalle/ConfigurableBeagle-11B
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -73,8 +70,7 @@ model-index:
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  - type: mc2
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  value: 77.13
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  source:
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- url: >-
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- https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -91,8 +87,7 @@ model-index:
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  value: 83.27
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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=vicgalle/ConfigurableBeagle-11B
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  name: Open LLM Leaderboard
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  - task:
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  type: text-generation
@@ -109,8 +104,99 @@ model-index:
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  value: 63.91
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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=vicgalle/ConfigurableBeagle-11B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  name: Open LLM Leaderboard
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  ---
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@@ -155,4 +241,17 @@ If you find this work, data and/or models useful for your research, please consi
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  archivePrefix={arXiv},
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  primaryClass={cs.CL}
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  }
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  value: 72.53
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  name: normalized accuracy
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  source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
 
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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: 88.85
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  name: normalized accuracy
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  source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
 
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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: 66.71
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  name: accuracy
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  source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
 
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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: 77.13
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  source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
 
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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: 83.27
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  name: accuracy
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  source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
 
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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: 63.91
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  name: accuracy
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  source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: IFEval (0-Shot)
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+ type: HuggingFaceH4/ifeval
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: inst_level_strict_acc and prompt_level_strict_acc
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+ value: 58.34
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+ name: strict accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: BBH (3-Shot)
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+ type: BBH
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc_norm
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+ value: 32.39
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MATH Lvl 5 (4-Shot)
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+ type: hendrycks/competition_math
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+ args:
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+ num_few_shot: 4
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+ metrics:
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+ - type: exact_match
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+ value: 3.7
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+ name: exact match
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: GPQA (0-shot)
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+ type: Idavidrein/gpqa
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 6.94
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MuSR (0-shot)
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+ type: TAUR-Lab/MuSR
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 7.38
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU-PRO (5-shot)
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+ type: TIGER-Lab/MMLU-Pro
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+ config: main
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 26.38
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vicgalle/ConfigurableBeagle-11B
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  name: Open LLM Leaderboard
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  ---
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  archivePrefix={arXiv},
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  primaryClass={cs.CL}
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  }
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+ ```
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_vicgalle__ConfigurableBeagle-11B)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |22.52|
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+ |IFEval (0-Shot) |58.34|
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+ |BBH (3-Shot) |32.39|
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+ |MATH Lvl 5 (4-Shot)| 3.70|
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+ |GPQA (0-shot) | 6.94|
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+ |MuSR (0-shot) | 7.38|
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+ |MMLU-PRO (5-shot) |26.38|
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+