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 nvidia/Llama-3.1-Minitron-4B-Width-Base as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: anthracite-org/magnum-v2-4b
parameters:
weight: 1
density: 1
- model: Magpie-Align/MagpieLM-4B-Chat-v0.1
parameters:
weight: 1
density: 1
- model: rasyosef/Llama-3.1-Minitron-4B-Chat
parameters:
weight: 1
density: 1
- model: bunnycore/LLama-3.1-4B-TitanFusion
parameters:
weight: 1
density: 1
- model: Delta-Vector/Holland-4B-V1
parameters:
weight: 1
density: 1
merge_method: ties
base_model: nvidia/Llama-3.1-Minitron-4B-Width-Base
parameters:
density: 1
normalize: true
int8_mask: true
dtype: bfloat16