Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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---
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base_model:
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- Qwen/Qwen2.5-7B
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- rombodawg/Rombos-LLM-V2.5-Qwen-7b
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- fblgit/cybertron-v4-qw7B-MGS
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- sethuiyer/Qwen2.5-7B-Anvita
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---
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# merge
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@@ -43,3 +137,17 @@ parameters:
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dtype: float16
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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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- Qwen/Qwen2.5-7B
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- rombodawg/Rombos-LLM-V2.5-Qwen-7b
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- fblgit/cybertron-v4-qw7B-MGS
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- sethuiyer/Qwen2.5-7B-Anvita
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model-index:
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- name: Qwen2.5-7B-Instruct-Fusion
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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: 69.62
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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/Qwen2.5-7B-Instruct-Fusion
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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: 36.18
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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/Qwen2.5-7B-Instruct-Fusion
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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: 19.94
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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/Qwen2.5-7B-Instruct-Fusion
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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: 7.27
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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/Qwen2.5-7B-Instruct-Fusion
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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: 12.95
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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/Qwen2.5-7B-Instruct-Fusion
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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: 38.53
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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/Qwen2.5-7B-Instruct-Fusion
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name: Open LLM Leaderboard
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---
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# merge
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dtype: float16
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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_bunnycore__Qwen2.5-7B-Instruct-Fusion)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |30.75|
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|IFEval (0-Shot) |69.62|
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|BBH (3-Shot) |36.18|
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|MATH Lvl 5 (4-Shot)|19.94|
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|GPQA (0-shot) | 7.27|
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|MuSR (0-shot) |12.95|
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|MMLU-PRO (5-shot) |38.53|
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