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Qwen2.5-14B-Wernicke

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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

Files changed (1) hide show
  1. README.md +113 -5
README.md CHANGED
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  ---
 
 
 
 
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  base_model:
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  - v000000/Qwen2.5-Lumen-14B
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  - arcee-ai/SuperNova-Medius
@@ -6,11 +10,101 @@ base_model:
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  - rombodawg/Rombos-LLM-V2.6-Qwen-14b
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  - Qwen/Qwen2.5-14B-Instruct
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  - EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0
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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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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # merge
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@@ -45,3 +139,17 @@ base_model: Qwen/Qwen2.5-14B
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  merge_method: model_stock
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  dtype: bfloat16
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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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  - v000000/Qwen2.5-Lumen-14B
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  - arcee-ai/SuperNova-Medius
 
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  - rombodawg/Rombos-LLM-V2.6-Qwen-14b
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  - Qwen/Qwen2.5-14B-Instruct
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  - EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0
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+ model-index:
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+ - name: Qwen2.5-14B-Wernicke
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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: 52.35
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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=CultriX/Qwen2.5-14B-Wernicke
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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: 50.64
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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=CultriX/Qwen2.5-14B-Wernicke
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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: 30.06
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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=CultriX/Qwen2.5-14B-Wernicke
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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: 19.13
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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=CultriX/Qwen2.5-14B-Wernicke
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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: 18.25
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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=CultriX/Qwen2.5-14B-Wernicke
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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: 49.15
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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=CultriX/Qwen2.5-14B-Wernicke
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+ name: Open LLM Leaderboard
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  ---
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  # merge
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  merge_method: model_stock
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  dtype: bfloat16
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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_CultriX__Qwen2.5-14B-Wernicke)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |36.60|
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+ |IFEval (0-Shot) |52.35|
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+ |BBH (3-Shot) |50.64|
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+ |MATH Lvl 5 (4-Shot)|30.06|
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+ |GPQA (0-shot) |19.13|
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+ |MuSR (0-shot) |18.25|
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+ |MMLU-PRO (5-shot) |49.15|
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+