| models: | |
| - model: mlabonne/NeuralHermes-2.5-Mistral-7B # no parameters necessary for base model | |
| - model: VAGOsolutions/SauerkrautLM-7b-HerO | |
| parameters: | |
| density: 0.3 # fraction of weights in differences from the base model to retain | |
| weight: # weight gradient | |
| - filter: mlp | |
| value: 0.5 | |
| - value: 0 | |
| - model: cognitivecomputations/dolphin-2.8-mistral-7b-v02 | |
| parameters: | |
| density: 0.5 | |
| weight: 0.4 | |
| merge_method: ties | |
| base_model: mlabonne/NeuralHermes-2.5-Mistral-7B | |
| parameters: | |
| normalize: true | |
| int8_mask: true | |
| dtype: float16 | |