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  ---
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  license: apache-2.0
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- base_model: teknium/OpenHermes-2.5-Mistral-7B
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  datasets:
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  - bunkalab/topic_based_chatml_dpo_pairs
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- library_name: Bunkatopics
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  widget:
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  - text: Tell a danish joke in french
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  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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@@ -139,4 +242,17 @@ You can find the results of the running on Weights & Biases: https://wandb.ai/bu
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  ## Model Family Tree
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- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63c13d74f02ef5b95e0e448e/MDtFeO_SoigL748c6xTmc.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ library_name: Bunkatopics
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  datasets:
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  - bunkalab/topic_based_chatml_dpo_pairs
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+ base_model: teknium/OpenHermes-2.5-Mistral-7B
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  widget:
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  - text: Tell a danish joke in french
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: TopicNeuralHermes-2.5-Mistral-7B
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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: 67.06
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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=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
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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: 85.44
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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=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
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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: 63.66
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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=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
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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: 55.47
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
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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: 78.3
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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=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
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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: 54.21
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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=charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
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+ name: Open LLM Leaderboard
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  ---
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  ## Model Family Tree
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63c13d74f02ef5b95e0e448e/MDtFeO_SoigL748c6xTmc.png)
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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_charlesdedampierre__TopicNeuralHermes-2.5-Mistral-7B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |67.36|
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+ |AI2 Reasoning Challenge (25-Shot)|67.06|
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+ |HellaSwag (10-Shot) |85.44|
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+ |MMLU (5-Shot) |63.66|
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+ |TruthfulQA (0-shot) |55.47|
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+ |Winogrande (5-shot) |78.30|
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+ |GSM8k (5-shot) |54.21|
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+