Resolving Interference When Merging Models
Paper
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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 elinas/Chronos-Gold-12B-1.0 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: elinas/Chronos-Gold-12B-1.0
#no parameters necessary for base model
- model: nbeerbower/mistral-nemo-gutenberg3-12B
parameters:
density: 0.7
weight: 0.7
- model: HumanLLMs/Human-Like-Mistral-Nemo-Instruct-2407
parameters:
density: 0.3
weight: 0.3
merge_method: ties
base_model: elinas/Chronos-Gold-12B-1.0
parameters:
normalize: false
int8_mask: true
dtype: float16