| base_model: | |
| - BioMistral/BioMistral-7B | |
| - CorticalStack/pastiche-crown-clown-7b-dare-dpo | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # merge | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the SLERP merge method. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/BioMistral-7B) | |
| * [CorticalStack/pastiche-crown-clown-7b-dare-dpo](https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare-dpo) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| slices: | |
| - sources: | |
| - model: BioMistral/BioMistral-7B | |
| layer_range: | |
| - 0 | |
| - 32 | |
| - model: CorticalStack/pastiche-crown-clown-7b-dare-dpo | |
| layer_range: | |
| - 0 | |
| - 32 | |
| merge_method: slerp | |
| base_model: BioMistral/BioMistral-7B | |
| parameters: | |
| t: | |
| - filter: self_attn | |
| value: | |
| - 0 | |
| - 0.5 | |
| - 0.3 | |
| - 0.7 | |
| - 1 | |
| - filter: mlp | |
| value: | |
| - 1 | |
| - 0.5 | |
| - 0.7 | |
| - 0.3 | |
| - 0 | |
| - value: 0.5 | |
| dtype: bfloat16 | |
| ``` | |