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  ---
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  license: artistic-2.0
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- datasets:
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- - Severian/Biomimicry
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- - emrgnt-cmplxty/sciphi-textbooks-are-all-you-need
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- - fmars/wiki_stem
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- - fblgit/tree-of-knowledge
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- - Severian/Bio-Design-Process
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  tags:
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  - chemistry
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  - biology
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  - biomimicry
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  - fauna
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  - flora
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- pipeline_tag: text-generation
 
 
 
 
 
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  metrics:
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  - accuracy
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # ANIMA-Phi-Neptune-Mistral-7B: Biomimicry Enhanced LLM
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  This project is licensed under Artistic-2.0
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- **This model is for research purposes only and restricted from any commercial use**
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: artistic-2.0
 
 
 
 
 
 
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  tags:
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  - chemistry
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  - biology
 
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  - biomimicry
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  - fauna
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  - flora
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+ datasets:
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+ - Severian/Biomimicry
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+ - emrgnt-cmplxty/sciphi-textbooks-are-all-you-need
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+ - fmars/wiki_stem
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+ - fblgit/tree-of-knowledge
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+ - Severian/Bio-Design-Process
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  metrics:
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  - accuracy
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: ANIMA-Phi-Neptune-Mistral-7B-v4
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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: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ value: 55.46
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Severian/ANIMA-Phi-Neptune-Mistral-7B-v4
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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: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ value: 77.63
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Severian/ANIMA-Phi-Neptune-Mistral-7B-v4
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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 (5-Shot)
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+ type: cais/mmlu
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+ config: all
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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: 53.12
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Severian/ANIMA-Phi-Neptune-Mistral-7B-v4
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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: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 59.01
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Severian/ANIMA-Phi-Neptune-Mistral-7B-v4
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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: Winogrande (5-shot)
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+ type: winogrande
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+ config: winogrande_xl
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+ split: validation
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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: 73.48
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Severian/ANIMA-Phi-Neptune-Mistral-7B-v4
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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: GSM8k (5-shot)
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+ type: gsm8k
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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: 14.94
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Severian/ANIMA-Phi-Neptune-Mistral-7B-v4
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+ name: Open LLM Leaderboard
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  ---
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  # ANIMA-Phi-Neptune-Mistral-7B: Biomimicry Enhanced LLM
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  This project is licensed under Artistic-2.0
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+ **This model is for research purposes only and restricted from any commercial use**
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Severian__ANIMA-Phi-Neptune-Mistral-7B-v4)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |55.61|
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+ |AI2 Reasoning Challenge (25-Shot)|55.46|
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+ |HellaSwag (10-Shot) |77.63|
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+ |MMLU (5-Shot) |53.12|
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+ |TruthfulQA (0-shot) |59.01|
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+ |Winogrande (5-shot) |73.48|
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+ |GSM8k (5-shot) |14.94|
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+