Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (a32bb1e9db6b52d68f41eb033eda95dbd9bbb97d)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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library_name: transformers
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tags:
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- uncensored
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---
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# Model Card for Model ID
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### Limitations
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-
The abliteration of this model is not perfect, for some extreme prompts it might refuse. v2 coming soon.
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library_name: transformers
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tags:
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- uncensored
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+
model-index:
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- name: Qwen2-7B-Instruct-abliterated
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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: 58.22
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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=informatiker/Qwen2-7B-Instruct-abliterated
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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: 37.8
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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=informatiker/Qwen2-7B-Instruct-abliterated
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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: 8.38
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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=informatiker/Qwen2-7B-Instruct-abliterated
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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: 6.82
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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=informatiker/Qwen2-7B-Instruct-abliterated
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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: 6.83
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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=informatiker/Qwen2-7B-Instruct-abliterated
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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: 31.92
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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=informatiker/Qwen2-7B-Instruct-abliterated
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name: Open LLM Leaderboard
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---
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# Model Card for Model ID
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### Limitations
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The abliteration of this model is not perfect, for some extreme prompts it might refuse. v2 coming soon.
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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_informatiker__Qwen2-7B-Instruct-abliterated)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |25.00|
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|IFEval (0-Shot) |58.22|
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|BBH (3-Shot) |37.80|
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|MATH Lvl 5 (4-Shot)| 8.38|
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|GPQA (0-shot) | 6.82|
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|MuSR (0-shot) | 6.83|
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|MMLU-PRO (5-shot) |31.92|
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