leaderboard-pr-bot
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Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions
README.md
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---
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base_model:
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- failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
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- VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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- nbeerbower/llama-3-gutenberg-8B
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- jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0
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- meta-llama/Meta-Llama-3-8B-Instruct
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---
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# Model Merge Parameters
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Base model: meta-llama/Meta-Llama-3-8B-Instruct
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normalize: true
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weight: 1.0
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---
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license: apache-2.0
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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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- failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
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- VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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- nbeerbower/llama-3-gutenberg-8B
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- jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0
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- meta-llama/Meta-Llama-3-8B-Instruct
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model-index:
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- name: Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1
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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: 42.02
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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=johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1
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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: 28.5
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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=johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1
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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: 8.84
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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=johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1
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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: 6.71
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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=johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1
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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: 10.78
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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=johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1
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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: 29.99
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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=johnsutor/Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1
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name: Open LLM Leaderboard
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---
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# Model Merge Parameters
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Base model: meta-llama/Meta-Llama-3-8B-Instruct
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normalize: true
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weight: 1.0
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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_johnsutor__Llama-3-8B-Instruct_breadcrumbs_ties-density-0.1-gamma-0.1)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |21.14|
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|IFEval (0-Shot) |42.02|
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|BBH (3-Shot) |28.50|
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|MATH Lvl 5 (4-Shot)| 8.84|
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|GPQA (0-shot) | 6.71|
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|MuSR (0-shot) |10.78|
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|MMLU-PRO (5-shot) |29.99|
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