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llama-3-spicy-abliterated-stella-8B

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Adding Evaluation Results (#1)

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- Adding Evaluation Results (2024a101ec7ea230f6c8aa568f220579f8e356a0)


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

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  1. README.md +122 -5
README.md CHANGED
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  ---
 
 
 
 
 
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  base_model:
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  - nbeerbower/llama-3-spicy-8B
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  - nbeerbower/llama-3-stella-8B
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  - saishf/Aura-Uncensored-OAS-8B-L3
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  - cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2
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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: llama3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # llama-3-spicy-abliterated-stella-8B
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@@ -41,3 +144,17 @@ dtype: bfloat16
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: llama3
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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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  - nbeerbower/llama-3-spicy-8B
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  - nbeerbower/llama-3-stella-8B
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  - saishf/Aura-Uncensored-OAS-8B-L3
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  - cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2
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+ model-index:
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+ - name: llama-3-spicy-abliterated-stella-8B
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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: 65.19
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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=nbeerbower/llama-3-spicy-abliterated-stella-8B
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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: 81.98
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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=nbeerbower/llama-3-spicy-abliterated-stella-8B
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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: 67.88
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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=nbeerbower/llama-3-spicy-abliterated-stella-8B
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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: 53.65
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-spicy-abliterated-stella-8B
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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: 76.48
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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=nbeerbower/llama-3-spicy-abliterated-stella-8B
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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: 70.43
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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=nbeerbower/llama-3-spicy-abliterated-stella-8B
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+ name: Open LLM Leaderboard
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  ---
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  # llama-3-spicy-abliterated-stella-8B
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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_nbeerbower__llama-3-spicy-abliterated-stella-8B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |69.27|
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+ |AI2 Reasoning Challenge (25-Shot)|65.19|
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+ |HellaSwag (10-Shot) |81.98|
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+ |MMLU (5-Shot) |67.88|
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+ |TruthfulQA (0-shot) |53.65|
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+ |Winogrande (5-shot) |76.48|
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+ |GSM8k (5-shot) |70.43|
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+