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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
```
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