Resolving Interference When Merging Models
Paper
•
2306.01708
•
Published
•
15
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using mistralai/Mistral-7B-v0.1 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: mistralai/Mistral-7B-v0.1
dtype: float16
merge_method: ties
parameters:
int8_mask: 1.0
normalize: 1.0
slices:
- sources:
- layer_range: [0, 32]
model: oz1115/Marcoro14-7B-slerp_v2
parameters:
density: [1.0, 0.7, 0.1]
weight: 1.0
- layer_range: [0, 32]
model: mlabonne/NeuralHermes-2.5-Mistral-7B
parameters:
density: 0.33
weight:
- filter: mlp
value: 0.5
- value: 0.0
- layer_range: [0, 32]
model: mistralai/Mistral-7B-v0.1