Adding Evaluation Results
Browse filesThis 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
    	
        README.md
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            license: apache-2.0
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            license_link: https://huggingface.co/Qwen/QwQ-32B-Preview/blob/main/LICENSE
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            language:
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            - en
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            tags:
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            - chat
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            ---
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            # QwQ-32B-Preview
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                  journal={arXiv preprint arXiv:2407.10671},
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                  year={2024}
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            }
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            ```
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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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            library_name: transformers
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            tags:
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            - chat
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            base_model: Qwen/Qwen2.5-32B-Instruct
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            license_link: https://huggingface.co/Qwen/QwQ-32B-Preview/blob/main/LICENSE
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            model-index:
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            - name: QwQ-32B-Preview
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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: 40.35
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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=Qwen/QwQ-32B-Preview
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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: 53.39
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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=Qwen/QwQ-32B-Preview
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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: 22.89
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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=Qwen/QwQ-32B-Preview
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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: 4.25
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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=Qwen/QwQ-32B-Preview
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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: 9.81
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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=Qwen/QwQ-32B-Preview
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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: 51.98
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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=Qwen/QwQ-32B-Preview
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                  name: Open LLM Leaderboard
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            ---
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            # QwQ-32B-Preview
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                  journal={arXiv preprint arXiv:2407.10671},
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                  year={2024}
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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/Qwen__QwQ-32B-Preview-details)
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            |      Metric       |Value|
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            |-------------------|----:|
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            |Avg.               |30.44|
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            |IFEval (0-Shot)    |40.35|
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            |BBH (3-Shot)       |53.39|
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            |MATH Lvl 5 (4-Shot)|22.89|
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            |GPQA (0-shot)      | 4.25|
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            |MuSR (0-shot)      | 9.81|
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            |MMLU-PRO (5-shot)  |51.98|
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