---
base_model:
- nbeerbower/phi3.5-gutenberg-4B
- microsoft/Phi-3.5-mini-instruct
- ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
- bunnycore/Phi-3.5-Mini-Hyper
- bunnycore/Phi-3.5-Mini-Hyper
- bunnycore/Phi-3.1-EvolKit-lora
- bunnycore/Phi-3.5-Mini-Sonet-RP
- bunnycore/Phi-3.5-mini-TitanFusion-0.1
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 [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) 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)
* [ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1)
* [bunnycore/Phi-3.5-Mini-Hyper](https://huggingface.co/bunnycore/Phi-3.5-Mini-Hyper)
* [bunnycore/Phi-3.5-Mini-Hyper](https://huggingface.co/bunnycore/Phi-3.5-Mini-Hyper) + [bunnycore/Phi-3.1-EvolKit-lora](https://huggingface.co/bunnycore/Phi-3.1-EvolKit-lora)
* [bunnycore/Phi-3.5-Mini-Sonet-RP](https://huggingface.co/bunnycore/Phi-3.5-Mini-Sonet-RP)
* [bunnycore/Phi-3.5-mini-TitanFusion-0.1](https://huggingface.co/bunnycore/Phi-3.5-mini-TitanFusion-0.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
    parameters:
      weight: 1
  - model: nbeerbower/phi3.5-gutenberg-4B
    parameters:
      weight: 1
  - model: bunnycore/Phi-3.5-mini-TitanFusion-0.1
    parameters:
      weight: 1
  - model: bunnycore/Phi-3.5-Mini-Sonet-RP
    parameters:
      weight: 1
  - model: bunnycore/Phi-3.5-Mini-Hyper
    parameters:
      weight: 1
  - model: bunnycore/Phi-3.5-Mini-Hyper+bunnycore/Phi-3.1-EvolKit-lora
    parameters:
      weight: 1

merge_method: ties
base_model: microsoft/Phi-3.5-mini-instruct
parameters:
  density: 1
  normalize: true
  int8_mask: true
dtype: bfloat16

```