---
base_model:
- mistralai/Mistral-7B-Instruct-v0.2
- Endevor/InfinityRP-v1-7B
- mistralai/Mistral-7B-v0.1
- CalderaAI/Naberius-7B
- CalderaAI/Hexoteric-7B
- Endevor/EndlessRP-v3-7B
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
pipeline_tag: text-generation
---
# other repos:
gguf: (https://huggingface.co/kainatq/kainaticulous-rp-7b-gguf)
# merge
this is a model focused on roleplaying. please dont expect much from it in other areas. it will do its job as roleplaying.
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
careful it generates nsfw contents. whatever generated by you is your responsibility. ejoy it by roleplaying. cheers ☺️.
## Merge Details
### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) 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:
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B)
* [CalderaAI/Naberius-7B](https://huggingface.co/CalderaAI/Naberius-7B)
* [CalderaAI/Hexoteric-7B](https://huggingface.co/CalderaAI/Hexoteric-7B)
* [Endevor/EndlessRP-v3-7B](https://huggingface.co/Endevor/EndlessRP-v3-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: mistralai/Mistral-7B-v0.1
    #no parameters necessary for base model
  - model: mistralai/Mistral-7B-Instruct-v0.2
    parameters:
      density: 0.6
      weight: 0.25
  - model: Endevor/InfinityRP-v1-7B
    parameters:
      density: 0.6
      weight: 0.25
  - model: Endevor/EndlessRP-v3-7B
    parameters:
      density: 0.6
      weight: 0.25
  - model: CalderaAI/Naberius-7B
    parameters:
      density: 0.6
      weight: 0.25
  - model: CalderaAI/Hexoteric-7B
    parameters:
      density: 0.6
      weight: 0.25
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```
### citation
this repo has been used to make the merge.

```
@article{goddard2024arcee,
  title={Arcee's MergeKit: A Toolkit for Merging Large Language Models},
  author={Goddard, Charles and Siriwardhana, Shamane and Ehghaghi, Malikeh and Meyers, Luke and Karpukhin, Vlad and Benedict, Brian and McQuade, Mark and Solawetz, Jacob},
  journal={arXiv preprint arXiv:2403.13257},
  year={2024}
}
```