| base_model: | |
| - Gunulhona/Gemma-Ko-Med | |
| - Shaleen123/gemma2-9b-medical | |
| - valeriojob/MedGPT-Gemma2-9B-BA-v.1 | |
| - ChuGyouk/ko-med-gemma-2-9b-it-merge2 | |
| 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 breadcrumbs_ties merge method using [Gunulhona/Gemma-Ko-Med](https://huggingface.co/Gunulhona/Gemma-Ko-Med) as a base. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [Shaleen123/gemma2-9b-medical](https://huggingface.co/Shaleen123/gemma2-9b-medical) | |
| * [valeriojob/MedGPT-Gemma2-9B-BA-v.1](https://huggingface.co/valeriojob/MedGPT-Gemma2-9B-BA-v.1) | |
| * [ChuGyouk/ko-med-gemma-2-9b-it-merge2](https://huggingface.co/ChuGyouk/ko-med-gemma-2-9b-it-merge2) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| models: | |
| - model: ChuGyouk/ko-med-gemma-2-9b-it-merge2 | |
| layer_range: [0, 42] | |
| parameters: | |
| weight: 1 | |
| density: 0.42 | |
| gamma: 0.03 | |
| - model: Shaleen123/gemma2-9b-medical | |
| layer_range: [0, 42] | |
| parameters: | |
| weight: 1 | |
| density: 0.42 | |
| gamma: 0.03 | |
| - model: valeriojob/MedGPT-Gemma2-9B-BA-v.1 | |
| layer_range: [0, 42] | |
| parameters: | |
| weight: 1 | |
| density: 0.42 | |
| gamma: 0.03 | |
| - model: Gunulhona/Gemma-Ko-Med | |
| layer_range: [0, 42] | |
| parameters: | |
| weight: 1 | |
| density: 0.42 | |
| gamma: 0.09 | |
| merge_method: breadcrumbs_ties | |
| base_model: Gunulhona/Gemma-Ko-Med | |
| dtype: float16 | |
| ``` | |