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Adding Evaluation Results

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This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

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  1. README.md +110 -2
README.md CHANGED
@@ -1,7 +1,6 @@
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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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  tags:
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  - text2text-generation
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  - mistral
@@ -14,7 +13,103 @@ base_model:
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  - Endevor/InfinityRP-v1-7B
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  - HuggingFaceH4/zephyr-7b-beta
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  model_name: GIGABATEMAN-7B
 
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  model_creator: DZgas
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <img src="logo.jpeg">
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@@ -68,4 +163,17 @@ With minimal warns and not discuss or not lesson - why you shouldn't do this.
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  LemonadeRP-4.5.3 as a base.
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  Silicon-Alice-7B.
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  zephyr-7b-beta.
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- InfinityRP-v1-7B.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  language:
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  - en
 
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  tags:
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  - text2text-generation
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  - mistral
 
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  - Endevor/InfinityRP-v1-7B
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  - HuggingFaceH4/zephyr-7b-beta
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  model_name: GIGABATEMAN-7B
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+ pipeline_tag: text-generation
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  model_creator: DZgas
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+ model-index:
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+ - name: GIGABATEMAN-7B
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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: 46.07
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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=DZgas/GIGABATEMAN-7B
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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: 29.83
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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=DZgas/GIGABATEMAN-7B
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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: 4.76
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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=DZgas/GIGABATEMAN-7B
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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: 5.26
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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=DZgas/GIGABATEMAN-7B
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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: 11.97
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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=DZgas/GIGABATEMAN-7B
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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: 24.18
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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=DZgas/GIGABATEMAN-7B
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+ name: Open LLM Leaderboard
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  ---
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  <img src="logo.jpeg">
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  LemonadeRP-4.5.3 as a base.
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  Silicon-Alice-7B.
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  zephyr-7b-beta.
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+ InfinityRP-v1-7B.
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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_DZgas__GIGABATEMAN-7B)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |20.35|
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+ |IFEval (0-Shot) |46.07|
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+ |BBH (3-Shot) |29.83|
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+ |MATH Lvl 5 (4-Shot)| 4.76|
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+ |GPQA (0-shot) | 5.26|
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+ |MuSR (0-shot) |11.97|
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+ |MMLU-PRO (5-shot) |24.18|
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+