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 ./L3-8B-Stheno-v3.2 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: ./L3-8B-Stheno-v3.2 # Roleplay specialist
parameters:
weight: 0.6 # Slightly higher weight if RP is your priority
- model: ./saiga_llama3_8b # Russian language specialist
parameters:
weight: 0.4
merge_method: ties
base_model: ./L3-8B-Stheno-v3.2 # Use RP model as base
dtype: bfloat16 # Or float16 if bfloat16 isn't available
parameters:
normalize: true
density: 0.5 # Adjust based on your needs (0.3-0.6 works well)