metadata
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
- failspy/Llama-3-8B-Instruct-MopeyMule
- nerdigent/L3.1-BlueSkyy-8B
library_name: transformers
tags:
- mergekit
- merge
Just an experiment using the same merge recipe as grimjim/Llama-3-Perky-Pat-Instruct-8B
This version uses the original Llama 3 8b as a base model. I also tried this merge with 3.1 as a base, but after some quick tests I prefer this one.
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the task arithmetic merge method using meta-llama/Meta-Llama-3-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: meta-llama/Meta-Llama-3-8B-Instruct
dtype: bfloat16
merge_method: task_arithmetic
parameters:
normalize: false
slices:
- sources:
- layer_range: [0, 32]
model: meta-llama/Meta-Llama-3-8B-Instruct
- layer_range: [0, 32]
model: nerdigent/L3.1-BlueSkyy-8B
parameters:
weight: 1.0
- layer_range: [0, 32]
model: failspy/Llama-3-8B-Instruct-MopeyMule
parameters:
weight: -1.0