| base_model: | |
| - smelborp/MixtralOrochi8x7B | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # maid-yuzu-v8 | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| v7's approach worked better than I thought, so I tried something even weirder as a test. I don't think a proper model will come out, but I'm curious about the results. | |
| ## Merge Details | |
| ### Merge Method | |
| This models were merged using the SLERP method in the following order: | |
| maid-yuzu-v8-base: mistralai/Mixtral-8x7B-v0.1 + mistralai/Mixtral-8x7B-Instruct-v0.1 = 0.5 | |
| maid-yuzu-v8-step1: above + jondurbin/bagel-dpo-8x7b-v0.2 = 0.25 | |
| maid-yuzu-v8-step2: above + cognitivecomputations/dolphin-2.7-mixtral-8x7b = 0.25 | |
| maid-yuzu-v8-step3: above + NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss = 0.25 | |
| maid-yuzu-v8-step4: above + ycros/BagelMIsteryTour-v2-8x7B = 0.25 | |
| maid-yuzu-v8: above + smelborp/MixtralOrochi8x7B = 0.25 | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [smelborp/MixtralOrochi8x7B](https://huggingface.co/smelborp/MixtralOrochi8x7B) | |
| * ../maid-yuzu-v8-step4 | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| base_model: | |
| model: | |
| path: ../maid-yuzu-v8-step4 | |
| dtype: bfloat16 | |
| merge_method: slerp | |
| parameters: | |
| t: | |
| - value: 0.25 | |
| slices: | |
| - sources: | |
| - layer_range: [0, 32] | |
| model: | |
| model: | |
| path: ../maid-yuzu-v8-step4 | |
| - layer_range: [0, 32] | |
| model: | |
| model: | |
| path: smelborp/MixtralOrochi8x7B | |
| ``` | |