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---
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
```
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