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Adding Evaluation Results (#1)

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- Adding Evaluation Results (89e96b7e48d6cce21fe3732c7286850e7c289a75)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

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  1. README.md +114 -6
README.md CHANGED
@@ -1,13 +1,108 @@
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  ---
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- base_model:
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- - mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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- - meta-llama/Meta-Llama-3.1-8B
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- - meta-llama/Meta-Llama-3.1-8B-Instruct
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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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- license: llama3.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
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@@ -46,4 +141,17 @@ parameters:
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  int8_mask: true
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  normalize: false
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: llama3.1
 
 
 
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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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+ - mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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+ - meta-llama/Meta-Llama-3.1-8B
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+ - meta-llama/Meta-Llama-3.1-8B-Instruct
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+ model-index:
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+ - name: Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
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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: 45.51
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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=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
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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: 28.91
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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=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
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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: 11.63
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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=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
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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: 2.24
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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=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
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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: 6.59
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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=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
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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: 29.76
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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=gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
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+ name: Open LLM Leaderboard
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  ---
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  # Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES
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  int8_mask: true
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  normalize: false
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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_gaverfraxz__Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |20.77|
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+ |IFEval (0-Shot) |45.51|
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+ |BBH (3-Shot) |28.91|
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+ |MATH Lvl 5 (4-Shot)|11.63|
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+ |GPQA (0-shot) | 2.24|
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+ |MuSR (0-shot) | 6.59|
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+ |MMLU-PRO (5-shot) |29.76|
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+