Adding Evaluation Results
#30
by
leaderboard-pr-bot
- opened
README.md
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---
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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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@@ -99,4 +194,17 @@ If you find our work helpful, feel free to give us a cite.
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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/details_Qwen__QwQ-32B-Preview)
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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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