metadata
base_model:
- flemmingmiguel/MBX-7B-v3
- paulml/NeuralOmniWestBeaglake-7B
- FelixChao/Faraday-7B
- paulml/NeuralOmniBeagleMBX-v3-7B
tags:
- mergekit
- merge
license: apache-2.0
language:
- en
To see what will happen. Huge thanks to NeuralNovel (Lee Jackson) for lasering it for me!!!!
This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the task arithmetic merge method using paulml/NeuralOmniBeagleMBX-v3-7B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: paulml/NeuralOmniWestBeaglake-7B
parameters:
weight: 1
- model: FelixChao/Faraday-7B
parameters:
weight: 1
- model: flemmingmiguel/MBX-7B-v3
parameters:
weight: 1
- model: paulml/NeuralOmniBeagleMBX-v3-7B
parameters:
weight: 1
merge_method: task_arithmetic
base_model: paulml/NeuralOmniBeagleMBX-v3-7B
parameters:
normalize: true
int8_mask: true
dtype: float16