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  ---
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- base_model:
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- - MaziyarPanahi/calme-2.4-rys-78b
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- datasets:
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- - mlabonne/orpo-dpo-mix-40k
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- library_name: transformers
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- license: mit
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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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  - orpo
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  - qwen2
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  - sft
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  - chatml
 
 
 
 
 
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  inference: false
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  model_creator: dfurman
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  quantized_by: dfurman
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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@@ -186,3 +281,17 @@ Another variation is to use a spicy syrup. To make this, combine equal parts wat
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  As always, adjust the quantity of jalapeño or the type of chili used to suit your taste. Enjoy responsibly!
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  ```
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  ---
 
 
 
 
 
 
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  language:
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  - en
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+ license: mit
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+ library_name: transformers
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  tags:
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  - orpo
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  - qwen2
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  - sft
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  - chatml
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+ base_model:
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+ - MaziyarPanahi/calme-2.4-rys-78b
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+ datasets:
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+ - mlabonne/orpo-dpo-mix-40k
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+ pipeline_tag: text-generation
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  inference: false
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  model_creator: dfurman
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  quantized_by: dfurman
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+ model-index:
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+ - name: CalmeRys-78B-Orpo-v0.1
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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: 81.63
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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=dfurman/CalmeRys-78B-Orpo-v0.1
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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: 61.92
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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=dfurman/CalmeRys-78B-Orpo-v0.1
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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: 37.92
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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=dfurman/CalmeRys-78B-Orpo-v0.1
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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: 20.02
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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=dfurman/CalmeRys-78B-Orpo-v0.1
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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: 36.37
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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=dfurman/CalmeRys-78B-Orpo-v0.1
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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: 66.8
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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=dfurman/CalmeRys-78B-Orpo-v0.1
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+ name: Open LLM Leaderboard
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  ---
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  As always, adjust the quantity of jalapeño or the type of chili used to suit your taste. Enjoy responsibly!
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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_dfurman__CalmeRys-78B-Orpo-v0.1)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |50.78|
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+ |IFEval (0-Shot) |81.63|
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+ |BBH (3-Shot) |61.92|
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+ |MATH Lvl 5 (4-Shot)|37.92|
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+ |GPQA (0-shot) |20.02|
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+ |MuSR (0-shot) |36.37|
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+ |MMLU-PRO (5-shot) |66.80|
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+