| models: | |
| - model: automerger/YamShadow-7B | |
| # No parameters necessary for base model | |
| - model: automerger/YamShadow-7B | |
| parameters: | |
| density: 0.6 | |
| weight: 0.2 | |
| - model: Kukedlc/Neural4gsm8k | |
| parameters: | |
| density: 0.3 | |
| weight: 0.1 | |
| - model: Kukedlc/NeuralSirKrishna-7b | |
| parameters: | |
| density: 0.6 | |
| weight: 0.2 | |
| - model: mlabonne/NeuBeagle-7B | |
| parameters: | |
| density: 0.5 | |
| weight: 0.15 | |
| - model: Kukedlc/Ramakrishna-7b | |
| parameters: | |
| density: 0.6 | |
| weight: 0.25 | |
| - model: Kukedlc/NeuralGanesha-7b | |
| parameters: | |
| density: 0.6 | |
| weight: 0.1 | |
| merge_method: dare_ties | |
| base_model: automerger/YamShadow-7B | |
| parameters: | |
| int8_mask: true | |
| dtype: bfloat16 | |