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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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- mlabonne/NeuralDaredevil-8B-abliterated |
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- nbeerbower/llama-3-spicy-abliterated-stella-8B |
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- flammenai/Mahou-1.2-llama3-8B |
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model-index: |
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- name: llama-3-NeuralMahou |
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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=lemon07r/llama-3-NeuralMahou |
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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: 83.45 |
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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=lemon07r/llama-3-NeuralMahou |
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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: 68.63 |
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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=lemon07r/llama-3-NeuralMahou |
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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: 58.21 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lemon07r/llama-3-NeuralMahou |
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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: 77.74 |
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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=lemon07r/llama-3-NeuralMahou |
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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: 72.55 |
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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=lemon07r/llama-3-NeuralMahou |
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name: Open LLM Leaderboard |
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--- |
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# NeuralMahou |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [nbeerbower/llama-3-spicy-abliterated-stella-8B](https://huggingface.co/nbeerbower/llama-3-spicy-abliterated-stella-8B) |
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* [flammenai/Mahou-1.2-llama3-8B](https://huggingface.co/flammenai/Mahou-1.2-llama3-8B) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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base_model: mlabonne/NeuralDaredevil-8B-abliterated |
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dtype: bfloat16 |
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merge_method: model_stock |
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slices: |
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- sources: |
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- layer_range: [0, 32] |
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model: flammenai/Mahou-1.2-llama3-8B |
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- layer_range: [0, 32] |
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model: nbeerbower/llama-3-spicy-abliterated-stella-8B |
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- layer_range: [0, 32] |
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model: mlabonne/NeuralDaredevil-8B-abliterated |
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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_lemon07r__llama-3-NeuralMahou) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |71.33| |
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|AI2 Reasoning Challenge (25-Shot)|67.41| |
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|HellaSwag (10-Shot) |83.45| |
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|MMLU (5-Shot) |68.63| |
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|TruthfulQA (0-shot) |58.21| |
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|Winogrande (5-shot) |77.74| |
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|GSM8k (5-shot) |72.55| |
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