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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 +122 -6
README.md CHANGED
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  ---
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- license: apache-2.0
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- datasets:
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- - Open-Orca/OpenOrca
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- - cognitivecomputations/dolphin
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- - Intel/orca_dpo_pairs
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  language:
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  - en
 
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  tags:
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  - merge
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  - moe
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/QkbFYjmpqCKfCyWnF-rwf.png)
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  (Image credit goes to [NeuralNovel](https://huggingface.co/NeuralNovel)) [GGUF FILES HERE!!!!](https://huggingface.co/Kquant03/CognitiveFusion-4x7B-GGUF)
@@ -73,4 +176,17 @@ It actually wrote a perfect haiku. This model is so much better than my other fr
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/FosMQSQIieUv0fzS8XP0x.png)
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  ![image/gif](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/KNiQIxuGnBzKWU7xrJWqi.gif)
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- There's a reason I pushed this straight to GGUF right away. I lack compute to make EXL2 or something but perhaps someone else would be interested in that.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
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  language:
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  - en
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+ license: apache-2.0
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  tags:
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  - merge
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  - moe
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+ datasets:
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+ - Open-Orca/OpenOrca
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+ - cognitivecomputations/dolphin
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+ - Intel/orca_dpo_pairs
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+ model-index:
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+ - name: CognitiveFusion-4x7B-bf16-MoE
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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: 67.41
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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=Kquant03/CognitiveFusion-4x7B-bf16-MoE
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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: 86.16
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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=Kquant03/CognitiveFusion-4x7B-bf16-MoE
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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: 65.14
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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=Kquant03/CognitiveFusion-4x7B-bf16-MoE
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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: 67.05
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kquant03/CognitiveFusion-4x7B-bf16-MoE
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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: 78.69
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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=Kquant03/CognitiveFusion-4x7B-bf16-MoE
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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: 52.54
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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=Kquant03/CognitiveFusion-4x7B-bf16-MoE
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+ name: Open LLM Leaderboard
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  ---
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/QkbFYjmpqCKfCyWnF-rwf.png)
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  (Image credit goes to [NeuralNovel](https://huggingface.co/NeuralNovel)) [GGUF FILES HERE!!!!](https://huggingface.co/Kquant03/CognitiveFusion-4x7B-GGUF)
 
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/FosMQSQIieUv0fzS8XP0x.png)
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  ![image/gif](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/KNiQIxuGnBzKWU7xrJWqi.gif)
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+ There's a reason I pushed this straight to GGUF right away. I lack compute to make EXL2 or something but perhaps someone else would be interested in that.
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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_Kquant03__CognitiveFusion-4x7B-bf16-MoE)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |69.50|
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+ |AI2 Reasoning Challenge (25-Shot)|67.41|
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+ |HellaSwag (10-Shot) |86.16|
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+ |MMLU (5-Shot) |65.14|
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+ |TruthfulQA (0-shot) |67.05|
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+ |Winogrande (5-shot) |78.69|
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+ |GSM8k (5-shot) |52.54|
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+