README.md

---
base_model:
- ValiantLabs/Llama3.2-3B-Enigma
- prithivMLmods/Llama-3.2-3B-Math-Oct
- xMaulana/FinMatcha-3B-Instruct
- Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated
- AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE
- pankajmathur/orca_mini_v9_7_3B-Instruct
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 [pankajmathur/orca_mini_v9_7_3B-Instruct](https://huggingface.co/pankajmathur/orca_mini_v9_7_3B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [ValiantLabs/Llama3.2-3B-Enigma](https://huggingface.co/ValiantLabs/Llama3.2-3B-Enigma)
* [prithivMLmods/Llama-3.2-3B-Math-Oct](https://huggingface.co/prithivMLmods/Llama-3.2-3B-Math-Oct)
* [xMaulana/FinMatcha-3B-Instruct](https://huggingface.co/xMaulana/FinMatcha-3B-Instruct)
* [Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated](https://huggingface.co/Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated)
* [AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE](https://huggingface.co/AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: prithivMLmods/Llama-3.2-3B-Math-Oct
        layer_range: [0, 28]
      - model: AXCXEPT/EZO-Llama-3.2-3B-Instruct-dpoE
        layer_range: [0, 28]
      - model: pankajmathur/orca_mini_v9_7_3B-Instruct
        layer_range: [0, 28]
      - model: xMaulana/FinMatcha-3B-Instruct
        layer_range: [0, 28]
      - model: ValiantLabs/Llama3.2-3B-Enigma
        layer_range: [0, 28]
      - model: Devarui379/VersatiLlama-Llama-3.2-3B-Instruct-Abliterated
        layer_range: [0, 28]

merge_method: ties
base_model: pankajmathur/orca_mini_v9_7_3B-Instruct
parameters:
  density: 0.5
  weight: 0.5
```