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Prima-LelantaclesV6-7b

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Adding Evaluation Results (#2)

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- Adding Evaluation Results (e8753f52804fbe54a4527b8b7236f97e17ba933b)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +121 -5
README.md CHANGED
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  ---
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- base_model:
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- - Test157t/West-Pasta-Lake-7b
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- - Test157t/Lelantacles6-Experiment26-7B
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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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- license: other
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Thanks to @Lewdiculous for the imatrix quants: https://huggingface.co/Lewdiculous/Prima-LelantaclesV6-7b-GGUF-IQ-Imatrix
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/pildYZ9hiswwLD4rBLt1A.jpeg)
@@ -35,4 +138,17 @@ models:
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  parameters:
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  weight: 1
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  dtype: float16
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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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+ base_model:
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+ - Test157t/West-Pasta-Lake-7b
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+ - Test157t/Lelantacles6-Experiment26-7B
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+ model-index:
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+ - name: Prima-LelantaclesV6-7b
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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: 71.5
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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/Prima-LelantaclesV6-7b
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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: 87.65
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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/Prima-LelantaclesV6-7b
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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: 64.64
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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=Test157t/Prima-LelantaclesV6-7b
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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: 64.29
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Prima-LelantaclesV6-7b
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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: 84.85
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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/Prima-LelantaclesV6-7b
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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: 67.55
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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/Prima-LelantaclesV6-7b
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+ name: Open LLM Leaderboard
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  ---
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  Thanks to @Lewdiculous for the imatrix quants: https://huggingface.co/Lewdiculous/Prima-LelantaclesV6-7b-GGUF-IQ-Imatrix
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/pildYZ9hiswwLD4rBLt1A.jpeg)
 
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  parameters:
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  weight: 1
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  dtype: float16
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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__Prima-LelantaclesV6-7b)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |73.41|
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+ |AI2 Reasoning Challenge (25-Shot)|71.50|
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+ |HellaSwag (10-Shot) |87.65|
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+ |MMLU (5-Shot) |64.64|
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+ |TruthfulQA (0-shot) |64.29|
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+ |Winogrande (5-shot) |84.85|
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+ |GSM8k (5-shot) |67.55|
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+