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- Delete .ipynb_checkpoints (9fb19be7b53964ed7094814427c6d6d1d7be96f3)
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---
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language:
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- en
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license: other
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tags:
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- supernova
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- moth
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@@ -22,101 +21,7 @@ datasets:
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- sequelbox/Supernova
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pipeline_tag: text-generation
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model_type: llama
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-
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- name: Llama3.1-8B-MOTH
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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: 52.08
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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=sequelbox/Llama3.1-8B-MOTH
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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: 26.45
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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=sequelbox/Llama3.1-8B-MOTH
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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: 11.86
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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=sequelbox/Llama3.1-8B-MOTH
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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: 2.57
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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=sequelbox/Llama3.1-8B-MOTH
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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: 3.79
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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=sequelbox/Llama3.1-8B-MOTH
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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: 25.48
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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=sequelbox/Llama3.1-8B-MOTH
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name: Open LLM Leaderboard
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---
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- MOTH is a general chat AI.
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- MOTH is also available for [Gemma 2;](https://huggingface.co/sequelbox/gemma-2-9B-MOTH) more MOTH finetunes for other models to follow.
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- MOTH has not been manually tested and uses automatically generated datasets.
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- Do as you will.
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-
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(uses llama 3.1 license available at https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)
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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_sequelbox__Llama3.1-8B-MOTH)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |20.37|
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|IFEval (0-Shot) |52.08|
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|BBH (3-Shot) |26.45|
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|MATH Lvl 5 (4-Shot)|11.86|
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|GPQA (0-shot) | 2.57|
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|MuSR (0-shot) | 3.79|
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|MMLU-PRO (5-shot) |25.48|
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-
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---
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language:
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- en
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tags:
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- supernova
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- moth
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- sequelbox/Supernova
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pipeline_tag: text-generation
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model_type: llama
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license: llama3.1
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---
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- MOTH is a general chat AI.
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- MOTH is also available for [Gemma 2;](https://huggingface.co/sequelbox/gemma-2-9B-MOTH) more MOTH finetunes for other models to follow.
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- MOTH has not been manually tested and uses automatically generated datasets.
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- Do as you will.
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