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  ---
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- base_model: 01-ai/Yi-1.5-9B-Chat-16K
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- license: apache-2.0
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- pipeline_tag: text-generation
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  language:
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  - zh
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  - en
 
 
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  tags:
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  - llm
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  - long context
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  - chat
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  - it
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  - abliterated
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- library_name: transformers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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@@ -21,4 +116,17 @@ library_name: transformers
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  Check out the <a href="https://huggingface.co/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/blob/main/abliterate-yi-1-5-9b-chat.ipynb">jupyter notebook</a> for details of how this model was abliterated from Yi-1.5-9B-Chat-16K.
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- ![Logo](https://huggingface.co/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/resolve/main/logo.png "Logo")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
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  language:
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  - zh
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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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  - llm
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  - long context
 
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  - chat
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  - it
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  - abliterated
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+ base_model: 01-ai/Yi-1.5-9B-Chat-16K
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: Yi-1.5-9B-Chat-16K-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: 55.28
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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=byroneverson/Yi-1.5-9B-Chat-16K-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: 32.84
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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=byroneverson/Yi-1.5-9B-Chat-16K-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: 10.65
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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=byroneverson/Yi-1.5-9B-Chat-16K-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: 8.39
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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=byroneverson/Yi-1.5-9B-Chat-16K-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: 19.68
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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=byroneverson/Yi-1.5-9B-Chat-16K-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: 31.37
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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=byroneverson/Yi-1.5-9B-Chat-16K-abliterated
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+ name: Open LLM Leaderboard
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  ---
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  Check out the <a href="https://huggingface.co/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/blob/main/abliterate-yi-1-5-9b-chat.ipynb">jupyter notebook</a> for details of how this model was abliterated from Yi-1.5-9B-Chat-16K.
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+ ![Logo](https://huggingface.co/byroneverson/Yi-1.5-9B-Chat-16K-abliterated/resolve/main/logo.png "Logo")
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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_byroneverson__Yi-1.5-9B-Chat-16K-abliterated)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |26.37|
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+ |IFEval (0-Shot) |55.28|
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+ |BBH (3-Shot) |32.84|
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+ |MATH Lvl 5 (4-Shot)|10.65|
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+ |GPQA (0-shot) | 8.39|
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+ |MuSR (0-shot) |19.68|
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+ |MMLU-PRO (5-shot) |31.37|
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+