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Llama-3-1-big-thoughtful-passthrough-merge-2

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Adding Evaluation Results (#1)

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- Adding Evaluation Results (78f77e05967da86fd4a603a4ef166e5b22d89776)


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

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  1. README.md +113 -5
README.md CHANGED
@@ -1,13 +1,107 @@
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  ---
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- base_model:
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- - Solshine/reflection-llama-3.1-8B
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- - Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder
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- - mlabonne/Hermes-3-Llama-3.1-8B-lorablated
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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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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # State of the art for size on Open LLM Leaderboard
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@@ -61,3 +155,17 @@ slices:
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  merge_method: passthrough
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  dtype: float16
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
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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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+ base_model:
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+ - Solshine/reflection-llama-3.1-8B
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+ - Solshine/Meta-Llama-3.1-8B-Instruct-Python-Coder
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+ - mlabonne/Hermes-3-Llama-3.1-8B-lorablated
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+ model-index:
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+ - name: Llama-3-1-big-thoughtful-passthrough-merge-2
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+ results:
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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: 25.47
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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=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
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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: 5.01
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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=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
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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: 0.15
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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=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
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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: 1.23
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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=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
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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: 6.75
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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=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
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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: 2.06
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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=Solshine/Llama-3-1-big-thoughtful-passthrough-merge-2
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+ name: Open LLM Leaderboard
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  ---
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  # State of the art for size on Open LLM Leaderboard
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  merge_method: passthrough
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  dtype: float16
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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_Solshine__Llama-3-1-big-thoughtful-passthrough-merge-2)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. | 6.78|
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+ |IFEval (0-Shot) |25.47|
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+ |BBH (3-Shot) | 5.01|
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+ |MATH Lvl 5 (4-Shot)| 0.15|
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+ |GPQA (0-shot) | 1.23|
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+ |MuSR (0-shot) | 6.75|
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+ |MMLU-PRO (5-shot) | 2.06|
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+