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Adding Evaluation Results (#2)

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- Adding Evaluation Results (8b3c6ead3286575b2cd03068071e06112df7a01f)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +139 -34
README.md CHANGED
@@ -1,12 +1,43 @@
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  ---
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  language:
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  - en
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- pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  base_model:
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  - meta-llama/Llama-3.1-8B-Instruct
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  - ValiantLabs/Llama3.1-8B-ShiningValiant2
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  - ValiantLabs/Llama3.1-8B-Cobalt
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- library_name: transformers
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  model_type: llama
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  model-index:
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  - name: sequelbox/Llama3.1-8B-PlumMath
@@ -35,38 +66,98 @@ model-index:
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  - type: acc
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  value: 40.27
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  name: acc
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- tags:
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- - mergekit
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- - merge
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- - shining-valiant
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- - shining-valiant-2
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- - cobalt
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- - plum
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- - valiant
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- - valiant-labs
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- - llama
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- - llama-3.1
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- - llama-3.1-instruct
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- - llama-3.1-instruct-8b
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- - llama-3
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- - llama-3-instruct
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- - llama-3-instruct-8b
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- - 8b
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- - math
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- - math-instruct
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- - science
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- - physics
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- - biology
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- - chemistry
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- - compsci
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- - computer-science
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- - engineering
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- - technical
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- - conversational
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- - chat
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- - instruct
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- license: llama3.1
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # PlumMath
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@@ -103,3 +194,17 @@ models:
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  weight: 0.2
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  base_model: meta-llama/Llama-3.1-8B-Instruct
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  language:
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  - en
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+ license: llama3.1
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+ - shining-valiant
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+ - shining-valiant-2
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+ - cobalt
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+ - plum
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+ - valiant
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+ - valiant-labs
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+ - llama
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+ - llama-3.1
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+ - llama-3.1-instruct
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+ - llama-3.1-instruct-8b
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+ - llama-3
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+ - llama-3-instruct
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+ - llama-3-instruct-8b
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+ - 8b
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+ - math
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+ - math-instruct
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+ - science
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+ - physics
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+ - biology
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+ - chemistry
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+ - compsci
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+ - computer-science
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+ - engineering
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+ - technical
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+ - conversational
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+ - chat
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+ - instruct
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  base_model:
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  - meta-llama/Llama-3.1-8B-Instruct
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  - ValiantLabs/Llama3.1-8B-ShiningValiant2
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  - ValiantLabs/Llama3.1-8B-Cobalt
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+ pipeline_tag: text-generation
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  model_type: llama
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  model-index:
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  - name: sequelbox/Llama3.1-8B-PlumMath
 
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  - type: acc
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  value: 40.27
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  name: acc
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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: 22.42
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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=sequelbox/Llama3.1-8B-PlumMath
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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: 16.45
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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=sequelbox/Llama3.1-8B-PlumMath
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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: 3.93
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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=sequelbox/Llama3.1-8B-PlumMath
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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: 9.06
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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=sequelbox/Llama3.1-8B-PlumMath
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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: 8.98
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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=sequelbox/Llama3.1-8B-PlumMath
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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: 21.95
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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=sequelbox/Llama3.1-8B-PlumMath
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+ name: Open LLM Leaderboard
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  ---
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  # PlumMath
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  weight: 0.2
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  base_model: meta-llama/Llama-3.1-8B-Instruct
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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_sequelbox__Llama3.1-8B-PlumMath)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |13.80|
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+ |IFEval (0-Shot) |22.42|
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+ |BBH (3-Shot) |16.45|
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+ |MATH Lvl 5 (4-Shot)| 3.93|
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+ |GPQA (0-shot) | 9.06|
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+ |MuSR (0-shot) | 8.98|
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+ |MMLU-PRO (5-shot) |21.95|
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+