---
base_model:
- microsoft/Phi-3.5-mini-instruct
- bunnycore/Phi-3.1-EvolKit-lora
- nbeerbower/phi3.5-gutenberg-4B
- bunnycore/Phi-3.1-EvolKit-lora
- bunnycore/Phi-3.5-Mini-ChatML
- bunnycore/Phi-3.1-EvolKit-lora
library_name: transformers
tags:
- mergekit
- merge

---
# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) + [bunnycore/Phi-3.1-EvolKit-lora](https://huggingface.co/bunnycore/Phi-3.1-EvolKit-lora) as a base.

### Models Merged

The following models were included in the merge:
* [nbeerbower/phi3.5-gutenberg-4B](https://huggingface.co/nbeerbower/phi3.5-gutenberg-4B) + [bunnycore/Phi-3.1-EvolKit-lora](https://huggingface.co/bunnycore/Phi-3.1-EvolKit-lora)
* [bunnycore/Phi-3.5-Mini-ChatML](https://huggingface.co/bunnycore/Phi-3.5-Mini-ChatML) + [bunnycore/Phi-3.1-EvolKit-lora](https://huggingface.co/bunnycore/Phi-3.1-EvolKit-lora)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: bunnycore/Phi-3.5-Mini-ChatML+bunnycore/Phi-3.1-EvolKit-lora
    parameters:
      density: 0.5
      weight: 1.0
  - model: nbeerbower/phi3.5-gutenberg-4B+bunnycore/Phi-3.1-EvolKit-lora
    parameters:
      density: 0.5
      weight: 1.0

merge_method: dare_ties
base_model: microsoft/Phi-3.5-mini-instruct+bunnycore/Phi-3.1-EvolKit-lora
parameters:
  normalize: false
  int8_mask: true
dtype: float16


```