Adding Evaluation Results
#1
by
leaderboard-pr-bot
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README.md
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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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-
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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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| 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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