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--- |
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base_model: |
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- crestf411/daybreak-kunoichi-2dpo-7b |
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- ContextualAI/Contextual_KTO_Mistral_PairRM |
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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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Taking the highest rated Mistral 7B from Alpaca Eval: |
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https://tatsu-lab.github.io/alpaca_eval/ |
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[ContextualAI/Contextual_KTO_Mistral_PairRM](https://huggingface.co/ContextualAI/Contextual_KTO_Mistral_PairRM) |
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and SLERP merging with the highest rated Mistral 7B from froggerics creativity rankings: |
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https://huggingface.co/datasets/froggeric/creativity |
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[crestf411/daybreak-kunoichi-2dpo-7b](https://huggingface.co/crestf411/daybreak-kunoichi-2dpo-7b) |
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In testing....... |
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# merge |
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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 SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [crestf411/daybreak-kunoichi-2dpo-7b](https://huggingface.co/crestf411/daybreak-kunoichi-2dpo-7b) |
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* [ContextualAI/Contextual_KTO_Mistral_PairRM](https://huggingface.co/ContextualAI/Contextual_KTO_Mistral_PairRM) |
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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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slices: |
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- sources: |
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- model: crestf411/daybreak-kunoichi-2dpo-7b |
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layer_range: [0, 32] |
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- model: ContextualAI/Contextual_KTO_Mistral_PairRM |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: ContextualAI/Contextual_KTO_Mistral_PairRM |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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dtype: bfloat16 |
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``` |
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