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  ---
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- license: apache-2.0
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- datasets:
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- - PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
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  language:
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  - en
 
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  base_model: mistralai/Mistral-Nemo-Base-2407
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Test model do not use. All of this text is to pad it to the limit and submit an eval on the leaderboard hope you enjoy reading it.
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- Trained on the PocketDoc/Dans-MemoryCore-CoreCurriculum-Small dataset using 4x H100 for 2 epochs.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
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  language:
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  - en
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+ license: apache-2.0
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  base_model: mistralai/Mistral-Nemo-Base-2407
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+ datasets:
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+ - PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
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+ model-index:
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+ - name: Dans-Instruct-CoreCurriculum-12b-ChatML
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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: 4.78
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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=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
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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: 32.02
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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=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
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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: 3.78
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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=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
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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: 7.38
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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=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
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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: 12.08
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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=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
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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: 28.67
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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=Dans-DiscountModels/Dans-Instruct-CoreCurriculum-12b-ChatML
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+ name: Open LLM Leaderboard
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  ---
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  Test model do not use. All of this text is to pad it to the limit and submit an eval on the leaderboard hope you enjoy reading it.
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+ Trained on the PocketDoc/Dans-MemoryCore-CoreCurriculum-Small dataset using 4x H100 for 2 epochs.
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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_Dans-DiscountModels__Dans-Instruct-CoreCurriculum-12b-ChatML)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |14.79|
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+ |IFEval (0-Shot) | 4.78|
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+ |BBH (3-Shot) |32.02|
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+ |MATH Lvl 5 (4-Shot)| 3.78|
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+ |GPQA (0-shot) | 7.38|
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+ |MuSR (0-shot) |12.08|
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+ |MMLU-PRO (5-shot) |28.67|
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+