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  ---
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- license: apache-2.0
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  language:
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  - en
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  - de
 
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  library_name: transformers
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- pipeline_tag: text-generation
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  tags:
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  - finetune
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  - sft
@@ -13,6 +12,102 @@ tags:
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  - augmentation
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  - german
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  - english
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ![SauerkrautLM](https://vago-solutions.de/wp-content/uploads/2024/02/Sauerkraut_Laserchat.png "SauerkrautLM-7b-LaserChat")
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  ## VAGO solutions SauerkrautLM-7b-LaserChat
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  ## Acknowledgement
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  Many thanks to [openchat](https://huggingface.co/openchat) for providing such valuable model to the Open-Source community
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  language:
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  - en
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  - de
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+ license: apache-2.0
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  library_name: transformers
 
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  tags:
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  - finetune
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  - sft
 
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  - augmentation
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  - german
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  - english
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: SauerkrautLM-7b-LaserChat
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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: 59.88
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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=VAGOsolutions/SauerkrautLM-7b-LaserChat
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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: 22.99
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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=VAGOsolutions/SauerkrautLM-7b-LaserChat
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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: 6.72
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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=VAGOsolutions/SauerkrautLM-7b-LaserChat
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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: 6.71
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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=VAGOsolutions/SauerkrautLM-7b-LaserChat
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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: 9.92
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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=VAGOsolutions/SauerkrautLM-7b-LaserChat
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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: 25.61
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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=VAGOsolutions/SauerkrautLM-7b-LaserChat
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+ name: Open LLM Leaderboard
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  ---
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  ![SauerkrautLM](https://vago-solutions.de/wp-content/uploads/2024/02/Sauerkraut_Laserchat.png "SauerkrautLM-7b-LaserChat")
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  ## VAGO solutions SauerkrautLM-7b-LaserChat
 
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  ## Acknowledgement
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  Many thanks to [openchat](https://huggingface.co/openchat) for providing such valuable model to the Open-Source community
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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_VAGOsolutions__SauerkrautLM-7b-LaserChat)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |21.97|
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+ |IFEval (0-Shot) |59.88|
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+ |BBH (3-Shot) |22.99|
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+ |MATH Lvl 5 (4-Shot)| 6.72|
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+ |GPQA (0-shot) | 6.71|
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+ |MuSR (0-shot) | 9.92|
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+ |MMLU-PRO (5-shot) |25.61|
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+