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---
license: cc-by-nc-4.0
tags:
- merge
- mergekit
- vortexmergekit
- chihoonlee10/T3Q-Mistral-Orca-Math-DPO
- eldogbbhed/NeuralMonarchCoderPearlBeagle
---
# NeuralMonarchCoderPearlBeagle-T3Q-Mistral-Orca-Math-DPO-7b
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
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