| 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 |