README.md

---
base_model:
- cgato/Thespis-CurtainCall-7b-v0.2.2
- mistralai/Mistral-7B-v0.1
- tavtav/eros-7b-test
- cgato/Thespis-7b-v0.5-SFTTest-2Epoch
- NeverSleep/Noromaid-7B-0.4-DPO
- NurtureAI/neural-chat-7b-v3-1-16k
tags:
- mergekit
- merge
license: cc-by-nc-4.0
---
# LemonadeRP-4.5.3

This is a merge of pre-trained language models created by KatyTheCutie

## Merge Details
### Merge Method

This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.

### Models Merged

The following models were included in the merge:
* [cgato/Thespis-CurtainCall-7b-v0.2.2](https://huggingface.co/cgato/Thespis-CurtainCall-7b-v0.2.2)
* [tavtav/eros-7b-test](https://huggingface.co/tavtav/eros-7b-test)
* [cgato/Thespis-7b-v0.5-SFTTest-2Epoch](https://huggingface.co/cgato/Thespis-7b-v0.5-SFTTest-2Epoch)
* [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO)
* [NurtureAI/neural-chat-7b-v3-1-16k](https://huggingface.co/NurtureAI/neural-chat-7b-v3-1-16k)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: mistralai/Mistral-7B-v0.1
dtype: float16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 32]
    model: mistralai/Mistral-7B-v0.1
  - layer_range: [0, 32]
    model: NeverSleep/Noromaid-7B-0.4-DPO
    parameters:
      weight: 0.37
  - layer_range: [0, 32]
    model: cgato/Thespis-CurtainCall-7b-v0.2.2
    parameters:
      weight: 0.32
  - layer_range: [0, 32]
    model: NurtureAI/neural-chat-7b-v3-1-16k
    parameters:
      weight: 0.15
  - layer_range: [0, 32]
    model: cgato/Thespis-7b-v0.5-SFTTest-2Epoch
    parameters:
      weight: 0.38
  - layer_range: [0, 32]
    model: tavtav/eros-7b-test
    parameters:
      weight: 0.18
```