---
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