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---
license: apache-2.0
language:
- en
tags:
- merge
---
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/IHjiqZF5wGDzXPkEIAjTt.png)
# To see what will happen
[Join our Discord!](https://discord.gg/aEGuFph9)
[BASE MODEL HERE](https://huggingface.co/Kquant03/Samlagast-7B-bf16)
A merge using the task_arithmetic method of merging. This is a method my team and I haven't experimented with recently, hopefully this will work well.
You can see the merge script here:
```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
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