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  ---
 
 
 
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  license: gpl-3.0
 
 
 
 
 
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  datasets:
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  - NobodyExistsOnTheInternet/ToxicQAFinal
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  - anthracite-org/kalo-opus-instruct-22k-no-refusal
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  - Orion-zhen/dpo-toxic-zh
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  - unalignment/toxic-dpo-v0.2
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  - Crystalcareai/Intel-DPO-Pairs-Norefusals
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- language:
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- - zh
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- - en
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- base_model:
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- - Qwen/Qwen2.5-7B-Instruct
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  pipeline_tag: text-generation
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- tags:
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- - qwen
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- - uncensored
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Qwen2.5-7B-Instruct-Uncensored
@@ -33,4 +128,17 @@ I used SFT + DPO to ensure uncensorment as well as trying to maintain original m
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  - DPO:
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  - Orion-zhen/dpo-toxic-zh
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  - unalignment/toxic-dpo-v0.2
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- - Crystalcareai/Intel-DPO-Pairs-Norefusals
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - zh
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+ - en
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  license: gpl-3.0
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+ tags:
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+ - qwen
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+ - uncensored
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+ base_model:
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+ - Qwen/Qwen2.5-7B-Instruct
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  datasets:
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  - NobodyExistsOnTheInternet/ToxicQAFinal
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  - anthracite-org/kalo-opus-instruct-22k-no-refusal
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  - Orion-zhen/dpo-toxic-zh
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  - unalignment/toxic-dpo-v0.2
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  - Crystalcareai/Intel-DPO-Pairs-Norefusals
 
 
 
 
 
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: Qwen2.5-7B-Instruct-Uncensored
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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: 72.04
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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=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
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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: 35.83
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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=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
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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: 1.36
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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=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
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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: 7.05
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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=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
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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: 13.58
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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=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
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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: 38.07
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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=Orion-zhen/Qwen2.5-7B-Instruct-Uncensored
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+ name: Open LLM Leaderboard
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  ---
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  # Qwen2.5-7B-Instruct-Uncensored
 
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  - DPO:
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  - Orion-zhen/dpo-toxic-zh
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  - unalignment/toxic-dpo-v0.2
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+ - Crystalcareai/Intel-DPO-Pairs-Norefusals
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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_Orion-zhen__Qwen2.5-7B-Instruct-Uncensored)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |27.99|
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+ |IFEval (0-Shot) |72.04|
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+ |BBH (3-Shot) |35.83|
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+ |MATH Lvl 5 (4-Shot)| 1.36|
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+ |GPQA (0-shot) | 7.05|
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+ |MuSR (0-shot) |13.58|
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+ |MMLU-PRO (5-shot) |38.07|
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+