| models: | |
| - model: automerger/YamShadow-7B | |
| # No parameters necessary for base model | |
| - model: automerger/YamShadow-7B | |
| parameters: | |
| density: 0.66 | |
| weight: 0.2 | |
| - model: automerger/OgnoExperiment27-7B | |
| parameters: | |
| density: 0.55 | |
| weight: 0.2 | |
| - model: automerger/PasticheNeuralsirkrishna-7B | |
| parameters: | |
| density: 0.44 | |
| weight: 0.2 | |
| - model: automerger/Experiment26Neuralarjuna-7B | |
| parameters: | |
| density: 0.33 | |
| weight: 0.2 | |
| - model: Kukedlc/NeuralGanesha-7b | |
| parameters: | |
| density: 0.22 | |
| weight: 0.2 | |
| merge_method: dare_ties | |
| base_model: automerger/YamShadow-7B | |
| parameters: | |
| int8_mask: true | |
| dtype: bfloat16 | |