Resolving Interference When Merging Models
Paper
• 2306.01708 • Published
• 17
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using Qwen/Qwen2.5-Coder-7B-Instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Qwen/Qwen2.5-Coder-7B-Instruct
# Base model - no parameters needed
- model: arkitekt-ai/qwen-coder-7b-specialist-d1
parameters:
density: 0.5 # Keep top 50% of significant changes
weight: 0.5
- model: arkitekt-ai/qwen-coder-7b-specialist-d2
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
parameters:
normalize: true # Normalize weights internally
dtype: bfloat16