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Adding Evaluation Results (#1)

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- Adding Evaluation Results (fc5295452ee2070411d2f92f0413fabec0bfbb36)


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

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  1. README.md +114 -5
README.md CHANGED
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  ---
 
 
 
 
 
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  base_model:
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  - Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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  - kloodia/lora-8b-bio
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  - kloodia/lora-8b-physic
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  - aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored
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  - kloodia/lora-8b-medic
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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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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # merge
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@@ -56,3 +151,17 @@ dtype: bfloat16
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  ```
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  ![image.png](https://cdn-uploads.huggingface.co/production/uploads/632149f88c0da827c72dccde/IkTIiq6HjCkaJefSNtGLD.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: apache-2.0
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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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  - Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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  - kloodia/lora-8b-bio
 
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  - kloodia/lora-8b-physic
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  - aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored
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  - kloodia/lora-8b-medic
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+ model-index:
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+ - name: Aspire-8B-model_stock
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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: 71.41
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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=DreadPoor/Aspire-8B-model_stock
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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: 32.53
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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=DreadPoor/Aspire-8B-model_stock
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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: 12.99
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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=DreadPoor/Aspire-8B-model_stock
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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: 8.61
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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=DreadPoor/Aspire-8B-model_stock
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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: 13.46
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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=DreadPoor/Aspire-8B-model_stock
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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: 30.7
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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=DreadPoor/Aspire-8B-model_stock
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+ name: Open LLM Leaderboard
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  ---
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  # merge
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  ```
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  ![image.png](https://cdn-uploads.huggingface.co/production/uploads/632149f88c0da827c72dccde/IkTIiq6HjCkaJefSNtGLD.png)
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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_DreadPoor__Aspire-8B-model_stock)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |28.28|
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+ |IFEval (0-Shot) |71.41|
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+ |BBH (3-Shot) |32.53|
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+ |MATH Lvl 5 (4-Shot)|12.99|
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+ |GPQA (0-shot) | 8.61|
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+ |MuSR (0-shot) |13.46|
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+ |MMLU-PRO (5-shot) |30.70|
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+