README.md

---
base_model:
- SanjiWatsuki/Kunoichi-DPO-v2-7B
- Nitral-AI/Infinitely-Laydiculous-9B
library_name: transformers
tags:
- mergekit
- merge

---
![example](https://i.imgur.com/6iMB3Cp.png)

# Description

This is the first merge I have ever tried. It seems to be working, or by the minimum does not appear to be broken :) The prime idea of this is to be an experiment and help me learn how to do merges and quants.

GGUF/IQ/Imatrix: https://huggingface.co/ABX-AI/Infinitely-Kunodiculous-9B-GGUF-IQ-Imatrix

# Infinitely-Kunodiculous-9B 

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 passthrough merge method.

### Models Merged

The following models were included in the merge:
* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
* [Nitral-AI/Infinitely-Laydiculous-9B](https://huggingface.co/Nitral-AI/Infinitely-Laydiculous-9B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: Nitral-AI/Infinitely-Laydiculous-9B
        layer_range: [0, 20]
  - sources:
      - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
        layer_range: [12, 32]
merge_method: passthrough
dtype: float16
```