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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
@@ -10,8 +10,103 @@ base_model:
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  - cognitivecomputations/dolphin-2.9.4-llama3.1-8b
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  - NousResearch/Hermes-3-Llama-3.1-8B
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  - NeverSleep/Lumimaid-v0.2-8B
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- - Sao10K/L3-8B-Stheno-v3.2
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  - DreadPoor/ScaduTorrent-8B-model_stock
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Trinas_Nectar-8B-model_stock
@@ -34,4 +129,17 @@ base_model: Sao10K/L3-8B-Stheno-v3.2
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  normalize: false
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  int8_mask: true
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  dtype: bfloat16
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - cognitivecomputations/dolphin-2.9.4-llama3.1-8b
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  - NousResearch/Hermes-3-Llama-3.1-8B
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  - NeverSleep/Lumimaid-v0.2-8B
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+ - Sao10K/L3-8B-Stheno-v3.2
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  - DreadPoor/ScaduTorrent-8B-model_stock
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+ model-index:
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+ - name: Trinas_Nectar-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: 72.59
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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/Trinas_Nectar-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: 31.98
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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/Trinas_Nectar-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: 13.75
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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/Trinas_Nectar-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: 4.81
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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/Trinas_Nectar-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: 11.41
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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/Trinas_Nectar-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: 29.09
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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/Trinas_Nectar-8B-model_stock
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+ name: Open LLM Leaderboard
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  ---
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  # Trinas_Nectar-8B-model_stock
 
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  normalize: false
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  int8_mask: true
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  dtype: bfloat16
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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__Trinas_Nectar-8B-model_stock)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |27.27|
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+ |IFEval (0-Shot) |72.59|
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+ |BBH (3-Shot) |31.98|
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+ |MATH Lvl 5 (4-Shot)|13.75|
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+ |GPQA (0-shot) | 4.81|
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+ |MuSR (0-shot) |11.41|
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+ |MMLU-PRO (5-shot) |29.09|
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+