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Adding Evaluation Results

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This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

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  1. README.md +124 -8
README.md CHANGED
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  ---
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- inference: false
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  language: en
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  license: llama2
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- model_type: llama
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- datasets:
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- - mlabonne/CodeLlama-2-20k
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- pipeline_tag: text-generation
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- base_model:
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- - davzoku/cria-llama2-7b-v1.3
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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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  - llama-2
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # FrankenCRIA v1.3-m.1
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@@ -67,3 +169,17 @@ merge_method: passthrough
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  dtype: bfloat16
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  language: en
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  license: llama2
 
 
 
 
 
 
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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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  - llama-2
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+ datasets:
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+ - mlabonne/CodeLlama-2-20k
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+ inference: false
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+ model_type: llama
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+ pipeline_tag: text-generation
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+ base_model:
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+ - davzoku/cria-llama2-7b-v1.3
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+ model-index:
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+ - name: frankencria-llama2-11b-v1.3-m.1
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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: 52.82
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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=davzoku/frankencria-llama2-11b-v1.3-m.1
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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: 77.5
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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=davzoku/frankencria-llama2-11b-v1.3-m.1
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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: 48.0
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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=davzoku/frankencria-llama2-11b-v1.3-m.1
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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: 46.87
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=davzoku/frankencria-llama2-11b-v1.3-m.1
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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: 71.59
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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=davzoku/frankencria-llama2-11b-v1.3-m.1
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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: 15.01
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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=davzoku/frankencria-llama2-11b-v1.3-m.1
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+ name: Open LLM Leaderboard
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  ---
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  # FrankenCRIA v1.3-m.1
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  dtype: bfloat16
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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_davzoku__frankencria-llama2-11b-v1.3-m.1)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |51.96|
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+ |AI2 Reasoning Challenge (25-Shot)|52.82|
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+ |HellaSwag (10-Shot) |77.50|
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+ |MMLU (5-Shot) |48.00|
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+ |TruthfulQA (0-shot) |46.87|
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+ |Winogrande (5-shot) |71.59|
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+ |GSM8k (5-shot) |15.01|
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+