---
license: apache-2.0
tags:
- merge
- mergekit
- vortexmergekit
- chihoonlee10/T3Q-Mistral-Orca-Math-DPO
- eldogbbhed/NeuralMonarchCoderPearlBeagle
---

# 4x1b

Hey there! 👋 Welcome to the 4x1b! This is a merge of multiple models brought together using the awesome [VortexMerge kit](https://colab.research.google.com/drive/1YjcvCLuNG1PK7Le6_4xhVU5VpzTwvGhk#scrollTo=UG5H2TK4gVyl).

Let's see what we've got in this merge:
* [chihoonlee10/T3Q-Mistral-Orca-Math-DPO](https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO) 🚀
* [eldogbbhed/NeuralMonarchCoderPearlBeagle](https://huggingface.co/eldogbbhed/NeuralMonarchCoderPearlBeagle) 🚀

## 🧩 Configuration

```yaml
models:
  - model: mlabonne/NeuralBeagle14-7B
    # no parameters necessary for base model
  - model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
    parameters:
      density: 0.5
      weight: 0.5
  - model: eldogbbhed/NeuralMonarchCoderPearlBeagle
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: mlabonne/NeuralBeagle14-7B
parameters:
  normalize: true
  int8_mask: true
dtype: float16