---
base_model:
- win10/Phi-3.5-mini-instruct-24-9-29
- MaziyarPanahi/calme-2.1-phi3.5-4b
- bunnycore/Phi-3.1-EvolKit-lora
- AXCXEPT/Borea-Phi-3.5-mini-Instruct-Coding
- bunnycore/Phi-3.1-EvolKit-lora
- ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
- bunnycore/Phi-3.5-mini-System-lora
- FreedomIntelligence/Apollo2-3.8B
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 [win10/Phi-3.5-mini-instruct-24-9-29](https://huggingface.co/win10/Phi-3.5-mini-instruct-24-9-29) as a base.

### Models Merged

The following models were included in the merge:
* [MaziyarPanahi/calme-2.1-phi3.5-4b](https://huggingface.co/MaziyarPanahi/calme-2.1-phi3.5-4b) + [bunnycore/Phi-3.1-EvolKit-lora](https://huggingface.co/bunnycore/Phi-3.1-EvolKit-lora)
* [AXCXEPT/Borea-Phi-3.5-mini-Instruct-Coding](https://huggingface.co/AXCXEPT/Borea-Phi-3.5-mini-Instruct-Coding) + [bunnycore/Phi-3.1-EvolKit-lora](https://huggingface.co/bunnycore/Phi-3.1-EvolKit-lora)
* [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-System-lora](https://huggingface.co/bunnycore/Phi-3.5-mini-System-lora)
* [FreedomIntelligence/Apollo2-3.8B](https://huggingface.co/FreedomIntelligence/Apollo2-3.8B)

### 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+bunnycore/Phi-3.5-mini-System-lora
    parameters:
      density: 0.5
      weight: 0.5
  - model: FreedomIntelligence/Apollo2-3.8B
    parameters:
      density: 0.5
      weight: 0.5
  - model: AXCXEPT/Borea-Phi-3.5-mini-Instruct-Coding+bunnycore/Phi-3.1-EvolKit-lora
    parameters:
      density: 0.5
      weight: 0.5
  - model: MaziyarPanahi/calme-2.1-phi3.5-4b+bunnycore/Phi-3.1-EvolKit-lora
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: win10/Phi-3.5-mini-instruct-24-9-29
parameters:
  normalize: false
  int8_mask: true
dtype: float16

```