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Adding Evaluation Results (#1)

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- Adding Evaluation Results (7a645d9eee22ab3bae2290b1c8d4ccbcf4d1c35f)

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  1. README.md +113 -5
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  ---
 
 
 
 
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  base_model:
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  - bunnycore/FuseQwQen-7B
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  - prithivMLmods/QwQ-LCoT-7B-Instruct
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  - qingy2024/UwU-7B-Instruct
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  - fblgit/cybertron-v4-qw7B-UNAMGS
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- library_name: transformers
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- tags:
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- - mergekit
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- - merge
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  FwF-Qwen-7B-0.2 is a large language model that is created by merging three other models. These models are specialized for reasoning, long thinking, roleplay, and general tasks, respectively.
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@@ -51,3 +145,17 @@ int8_mask: true
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  dtype: bfloat16
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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  base_model:
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  - bunnycore/FuseQwQen-7B
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  - prithivMLmods/QwQ-LCoT-7B-Instruct
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  - qingy2024/UwU-7B-Instruct
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  - fblgit/cybertron-v4-qw7B-UNAMGS
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+ model-index:
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+ - name: FwF-Qwen-7B-0.2
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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: 44.79
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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=bunnycore/FwF-Qwen-7B-0.2
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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: 37.67
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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=bunnycore/FwF-Qwen-7B-0.2
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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: 22.36
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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=bunnycore/FwF-Qwen-7B-0.2
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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: 5.37
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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=bunnycore/FwF-Qwen-7B-0.2
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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: 12.29
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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=bunnycore/FwF-Qwen-7B-0.2
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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: 37.58
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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=bunnycore/FwF-Qwen-7B-0.2
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+ name: Open LLM Leaderboard
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  ---
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  FwF-Qwen-7B-0.2 is a large language model that is created by merging three other models. These models are specialized for reasoning, long thinking, roleplay, and general tasks, respectively.
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  dtype: bfloat16
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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/bunnycore__FwF-Qwen-7B-0.2-details)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |26.68|
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+ |IFEval (0-Shot) |44.79|
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+ |BBH (3-Shot) |37.67|
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+ |MATH Lvl 5 (4-Shot)|22.36|
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+ |GPQA (0-shot) | 5.37|
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+ |MuSR (0-shot) |12.29|
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+ |MMLU-PRO (5-shot) |37.58|
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+