Resolving Interference When Merging Models
Paper • 2306.01708 • Published • 18
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using meta-llama/Llama-3.1-8B-Instruct as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: meta-llama/Llama-3.1-8B-Instruct
dtype: bfloat16
merge_method: ties
parameters:
int8_mask: 1.0
normalize: 0.0
slices:
- sources:
- layer_range: [0, 32]
model: BimatrixTemp/BIMATRIX-Llama-3.1-Lora
parameters:
density: 0.5
weight: 0.5
- layer_range: [0, 32]
model: /workspace/mssong/finetune/mergekit/models/fcc-llama-8b
parameters:
density: 0.5
weight: 0.5
- layer_range: [0, 32]
model: meta-llama/Llama-3.1-8B-Instruct
Base model
meta-llama/Llama-3.1-8B