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  ---
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- base_model:
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- - SanjiWatsuki/Kunoichi-DPO-v2-7B
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- - Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context
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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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  - alpaca
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  - mistral
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- license: other
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Thanks to @Epiculous for the dope model/ help with llm backends and support overall.
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@@ -48,4 +151,17 @@ parameters:
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  value: [1, 0.5, 0.7, 0.3, 0]
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  - value: 0.5
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  dtype: bfloat16
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: other
 
 
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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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  - alpaca
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  - mistral
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+ base_model:
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+ - SanjiWatsuki/Kunoichi-DPO-v2-7B
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+ - Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context
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+ model-index:
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+ - name: Kunocchini-7b-128k-test
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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: 66.98
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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=Test157t/Kunocchini-7b-128k-test
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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: 85.62
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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=Test157t/Kunocchini-7b-128k-test
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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: 61.27
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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=Test157t/Kunocchini-7b-128k-test
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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: 59.35
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Kunocchini-7b-128k-test
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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: 77.9
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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=Test157t/Kunocchini-7b-128k-test
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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: 52.31
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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=Test157t/Kunocchini-7b-128k-test
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+ name: Open LLM Leaderboard
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  ---
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  Thanks to @Epiculous for the dope model/ help with llm backends and support overall.
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  value: [1, 0.5, 0.7, 0.3, 0]
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  - value: 0.5
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  dtype: bfloat16
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+ ```
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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_Test157t__Kunocchini-7b-128k-test)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |67.24|
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+ |AI2 Reasoning Challenge (25-Shot)|66.98|
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+ |HellaSwag (10-Shot) |85.62|
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+ |MMLU (5-Shot) |61.27|
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+ |TruthfulQA (0-shot) |59.35|
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+ |Winogrande (5-shot) |77.90|
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+ |GSM8k (5-shot) |52.31|
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+