README.md

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:

• failspy/Llama-3-8B-Instruct-MopeyMule
• nerdigent/L3.1-BlueSkyy-8B

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