| base_model: | |
| - ycros/BagelMIsteryTour-v2-8x7B | |
| - smelborp/MixtralOrochi8x7B | |
| - cognitivecomputations/dolphin-2.7-mixtral-8x7b | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # maid-yuzu-v7 | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| I don't know anything about merges, so this may be a stupid method, but I was curious how the models would be merged if I took this approach. | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the SLERP merge method. | |
| This model is a model that first merges Model [Orochi](https://huggingface.co/smelborp/MixtralOrochi8x7B) with Model [dolphin](https://huggingface.co/cognitivecomputations/dolphin-2.7-mixtral-8x7b) with a 0.15 SLERP option, and then merges Model [BagelMIsteryTour](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B) with a 0.2 SLERP option based on the merged model. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [ycros/BagelMIsteryTour-v2-8x7B](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B) | |
| * ../maid-yuzu-v7-base | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| base_model: | |
| model: | |
| path: ../maid-yuzu-v7-base | |
| dtype: bfloat16 | |
| merge_method: slerp | |
| parameters: | |
| t: | |
| - value: 0.2 | |
| slices: | |
| - sources: | |
| - layer_range: [0, 32] | |
| model: | |
| model: | |
| path: ../maid-yuzu-v7-base | |
| - layer_range: [0, 32] | |
| model: | |
| model: | |
| path: ycros/BagelMIsteryTour-v2-8x7B | |
| ``` | |