---
tags:
- merge
- mergekit
- lazymergekit
- datatab/Serbian-Mistral-Orca-Slim-v1
- mlabonne/AlphaMonarch-7B
- datatab/YugoGPT-Alpaca-v1-epoch1-good
base_model:
- datatab/Serbian-Mistral-Orca-Slim-v1
- mlabonne/AlphaMonarch-7B
- datatab/YugoGPT-Alpaca-v1-epoch1-good
license: mit
datasets:
- datatab/alpaca-cleaned-serbian-full
- datatab/open-orca-slim-serbian
language:
- sr
---

# Yugo55-GPT-v4

datatab/Yugo55-GPT-v4 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [datatab/Serbian-Mistral-Orca-Slim-v1](https://huggingface.co/datatab/Serbian-Mistral-Orca-Slim-v1)
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
* [datatab/YugoGPT-Alpaca-v1-epoch1-good](https://huggingface.co/datatab/YugoGPT-Alpaca-v1-epoch1-good)

## 🧩 Configuration

```yaml
models:
  - model: datatab/Serbian-Mistral-Orca-Slim-v1
    parameters:
      weight: 1.0
  - model: mlabonne/AlphaMonarch-7B
    parameters:
      weight: 1.0
  - model: datatab/YugoGPT-Alpaca-v1-epoch1-good
    parameters:
      weight: 1.0
merge_method: linear
dtype: float16
```

## 💻 Usage

```python
# TBD
```