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 Magpie-Align/MagpieLM-8B-Chat-v0.1 as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: Magpie-Align/MagpieLM-8B-Chat-v0.1
parameters:
density: 1
weight: 1
- model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.3
parameters:
density: 1
weight: 1
- model: Magpie-Align/MagpieLM-8B-Chat-v0.1
parameters:
density: 1
weight: 1
- model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.3
parameters:
density: 1
weight: 1
merge_method: ties
base_model: Magpie-Align/MagpieLM-8B-Chat-v0.1
parameters:
normalize: false
int8_mask: true
dtype: bfloat16