---
base_model:
- NeverSleep/Noromaid-13B-0.4-DPO
- cgato/Thespis-13b-DPO-v0.7
- KoboldAI/LLaMA2-13B-Estopia
- Doctor-Shotgun/cat-v1.0-13b
- BlueNipples/TimeCrystal-l2-13B
- TheBloke/Llama-2-13B-fp16
tags:
- mergekit
- merge

---
# EstopianMaid

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

## Merge Details
### Merge Method

This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16) as a base.

### Models Merged

The following models were included in the merge:
* [NeverSleep/Noromaid-13B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-13B-0.4-DPO)
* [cgato/Thespis-13b-DPO-v0.7](https://huggingface.co/cgato/Thespis-13b-DPO-v0.7)
* [KoboldAI/LLaMA2-13B-Estopia](https://huggingface.co/KoboldAI/LLaMA2-13B-Estopia)
* [Doctor-Shotgun/cat-v1.0-13b](https://huggingface.co/Doctor-Shotgun/cat-v1.0-13b)
* [BlueNipples/TimeCrystal-l2-13B](https://huggingface.co/BlueNipples/TimeCrystal-l2-13B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: TheBloke/Llama-2-13B-fp16
dtype: float16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 40]
    model: TheBloke/Llama-2-13B-fp16
  - layer_range: [0, 40]
    model: BlueNipples/TimeCrystal-l2-13B
    parameters:
      weight: 0.75
  - layer_range: [0, 40]
    model: cgato/Thespis-13b-DPO-v0.7
    parameters:
      weight: 0.23
  - layer_range: [0, 40]
    model: KoboldAI/LLaMA2-13B-Estopia
    parameters:
      weight: 0.15
  - layer_range: [0, 40]
    model: NeverSleep/Noromaid-13B-0.4-DPO
    parameters:
      weight: 0.2
  - layer_range: [0, 40]
    model: Doctor-Shotgun/cat-v1.0-13b
    parameters:
      weight: 0.03
```