base_model: mistralai/Mistral-7B-v0.1 | |
dtype: float16 | |
merge_method: ties | |
modules: | |
default: | |
slices: | |
- sources: | |
- layer_range: [0, 32] | |
model: mistralai/Mistral-7B-v0.1 | |
- layer_range: [0, 32] | |
model: OpenPipe/mistral-ft-optimized-1218 | |
parameters: | |
density: 0.5 | |
weight: 0.5 | |
- layer_range: [0, 32] | |
model: mlabonne/NeuralHermes-2.5-Mistral-7B | |
parameters: | |
density: 0.5 | |
weight: 0.3 | |
parameters: | |
normalize: 1.0 |