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  1. README.md +123 -6
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  ---
 
 
 
 
 
 
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  base_model: microsoft/Orca-2-13b
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  inference: false
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- license: other
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  model_creator: Microsoft
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- model_name: Orca 2 13B
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  model_type: llama
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  pipeline_tag: text-generation
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  prompt_template: '<|im_start|>system
@@ -18,10 +22,109 @@ prompt_template: '<|im_start|>system
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  '
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  quantized_by: TheBloke
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- tags:
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- - orca
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- - orca2
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- - microsoft
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- markdownlint-disable MD041 -->
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@@ -613,3 +716,17 @@ print(final_output)
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  primaryClass={cs.AI}
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  }
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: other
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+ tags:
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+ - orca
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+ - orca2
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+ - microsoft
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+ model_name: Orca 2 13B
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  base_model: microsoft/Orca-2-13b
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  inference: false
 
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  model_creator: Microsoft
 
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  model_type: llama
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  pipeline_tag: text-generation
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  prompt_template: '<|im_start|>system
 
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  '
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  quantized_by: TheBloke
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+ model-index:
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+ - name: Orca-2-13B-GPTQ
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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: 59.81
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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=TheBloke/Orca-2-13B-GPTQ
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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: 79.12
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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=TheBloke/Orca-2-13B-GPTQ
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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: 59.35
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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=TheBloke/Orca-2-13B-GPTQ
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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: 55.14
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheBloke/Orca-2-13B-GPTQ
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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: 76.64
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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=TheBloke/Orca-2-13B-GPTQ
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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: 15.54
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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=TheBloke/Orca-2-13B-GPTQ
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+ name: Open LLM Leaderboard
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  ---
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  <!-- markdownlint-disable MD041 -->
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  primaryClass={cs.AI}
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  }
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  ```
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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_TheBloke__Orca-2-13B-GPTQ)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |57.60|
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+ |AI2 Reasoning Challenge (25-Shot)|59.81|
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+ |HellaSwag (10-Shot) |79.12|
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+ |MMLU (5-Shot) |59.35|
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+ |TruthfulQA (0-shot) |55.14|
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+ |Winogrande (5-shot) |76.64|
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+ |GSM8k (5-shot) |15.54|
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+