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Adding Evaluation Results (#2)
Browse files- Adding Evaluation Results (5cf11c335e0bb2086f987da346baa1ac23da0a59)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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---
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base_model:
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- rityak/L3.1-FormaxGradient
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- vicgalle/Configurable-Llama-3.1-8B-Instruct
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- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
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- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
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- DreadPoor/Heart_Stolen-8B-Model_Stock
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---
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# merge
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@@ -40,3 +134,17 @@ merge_method: model_stock
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base_model: vicgalle/Configurable-Llama-3.1-8B-Instruct
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dtype: bfloat16
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```
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---
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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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- rityak/L3.1-FormaxGradient
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- vicgalle/Configurable-Llama-3.1-8B-Instruct
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- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1
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- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
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- DreadPoor/Heart_Stolen-8B-Model_Stock
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model-index:
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- name: L3.1-ForStHS
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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: 78.13
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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=djuna/L3.1-ForStHS
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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: 31.39
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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=djuna/L3.1-ForStHS
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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: 12.92
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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=djuna/L3.1-ForStHS
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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: 5.48
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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=djuna/L3.1-ForStHS
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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: 9.66
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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=djuna/L3.1-ForStHS
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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: 30.39
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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=djuna/L3.1-ForStHS
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name: Open LLM Leaderboard
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---
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# merge
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base_model: vicgalle/Configurable-Llama-3.1-8B-Instruct
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dtype: bfloat16
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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_djuna__L3.1-ForStHS)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |28.00|
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|IFEval (0-Shot) |78.13|
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|BBH (3-Shot) |31.39|
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|MATH Lvl 5 (4-Shot)|12.92|
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|GPQA (0-shot) | 5.48|
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|MuSR (0-shot) | 9.66|
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|MMLU-PRO (5-shot) |30.39|
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