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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (1012bc744906e609ea1d473e9b82868b8468dba9)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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base_model:
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- netcat420/MFANN-llama3.1-abliterated-v2
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- netcat420/MFANN-llama3.1-abliterated-SLERP-v3.2
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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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@@ -17,4 +111,17 @@ 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/MFANN-llama3.1-abliterated-v2
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- netcat420/MFANN-llama3.1-abliterated-SLERP-v3.2
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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-TIES
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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: 42.93
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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-TIES
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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: 27.6
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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-TIES
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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: 5.97
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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-TIES
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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: 5.59
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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-TIES
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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: 4.59
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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-TIES
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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: 28.13
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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-TIES
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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-TIES)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |19.13|
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|IFEval (0-Shot) |42.93|
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|BBH (3-Shot) |27.60|
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|MATH Lvl 5 (4-Shot)| 5.97|
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|GPQA (0-shot) | 5.59|
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|MuSR (0-shot) | 4.59|
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|MMLU-PRO (5-shot) |28.13|
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