Basically, I took an excellent chat llm that has some weird hangups in RP, and merged it with a bunch of ERP models
GGUF - [nocudaexe/Infinite-Waifu-7b-GGUF](https://huggingface.co/nocudaexe/Infinite-Waifu-7b-GGUF)

---
base_model:
[Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B)

[Test157t/Kunocchini-7b-128k-test](https://huggingface.co/Test157t/Kunocchini-7b-128k-test)

[mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)

[KatyTheCutie/SlushySlerp-7B](KatyTheCutie/SlushySlerp-7B)

library_name: transformers
tags:
- mergekit
- merge

---
# merge

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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B) as a base.

### Models Merged

The following models were included in the merge:
* [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B)
* [Test157t/Kunocchini-7b-128k-test](https://huggingface.co/Test157t/Kunocchini-7b-128k-test)
* [KatyTheCutie/SlushySlerp-7B](https://huggingface.co/KatyTheCutie/SlushySlerp-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: mlabonne/AlphaMonarch-7B
    # No parameters necessary for base model
  - model: Test157t/Kunocchini-7b-128k-test
    parameters:
      density: 0.43
      weight: 0.4
  - model: KatyTheCutie/SlushySlerp-7B
    parameters:
      density: 0.33
      weight: 0.3
  - model: Endevor/InfinityRP-v1-7B
    parameters:
      density: 0.3
      weight: 0.3
merge_method: dare_ties
base_model: mlabonne/AlphaMonarch-7B
parameters:
  int8_mask: true
dtype: bfloat16

```