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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 +112 -5
README.md CHANGED
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  ---
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- base_model:
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- - netcat420/MFANNv0.23
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- - mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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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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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  standard system prompt: <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful, respectful and honest assistant. Always answer as helpfully as possible.<|eot_id|>
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@@ -16,4 +110,17 @@ sampler settings:
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  context length: 8192 max length: 8192 prompt batch size: 128 temperature: 1 top p: 1 top k: 50 min p: 0.03 repeat penalty tokens: 69 GPU layers (for vulkan offloading in gpt4all): 32 repeat penalty: 1.19
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- make sure to completely remove the string in "suggest follow-up prompt" to improve generation speed in gpt4all
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
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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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+ - netcat420/MFANNv0.23
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+ - mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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+ model-index:
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+ - name: MFANN-Llama3.1-Abliterated-Slerp-V3.2
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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: IFEval (0-Shot)
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+ type: HuggingFaceH4/ifeval
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: inst_level_strict_acc and prompt_level_strict_acc
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+ value: 41.28
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+ name: strict accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2
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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: BBH (3-Shot)
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+ type: BBH
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc_norm
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+ value: 27.77
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2
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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: MATH Lvl 5 (4-Shot)
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+ type: hendrycks/competition_math
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+ args:
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+ num_few_shot: 4
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+ metrics:
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+ - type: exact_match
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+ value: 6.19
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+ name: exact match
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2
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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: GPQA (0-shot)
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+ type: Idavidrein/gpqa
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 5.03
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2
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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: MuSR (0-shot)
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+ type: TAUR-Lab/MuSR
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 5.13
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2
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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-PRO (5-shot)
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+ type: TIGER-Lab/MMLU-Pro
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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: 28.08
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=netcat420/MFANN-Llama3.1-Abliterated-Slerp-V3.2
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+ name: Open LLM Leaderboard
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  ---
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  standard system prompt: <|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful, respectful and honest assistant. Always answer as helpfully as possible.<|eot_id|>
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  context length: 8192 max length: 8192 prompt batch size: 128 temperature: 1 top p: 1 top k: 50 min p: 0.03 repeat penalty tokens: 69 GPU layers (for vulkan offloading in gpt4all): 32 repeat penalty: 1.19
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+ make sure to completely remove the string in "suggest follow-up prompt" to improve generation speed in gpt4all
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_netcat420__MFANN-Llama3.1-Abliterated-Slerp-V3.2)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |18.92|
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+ |IFEval (0-Shot) |41.28|
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+ |BBH (3-Shot) |27.77|
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+ |MATH Lvl 5 (4-Shot)| 6.19|
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+ |GPQA (0-shot) | 5.03|
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+ |MuSR (0-shot) | 5.13|
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+ |MMLU-PRO (5-shot) |28.08|
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+