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---
base_model:
- Elfrino/XwinXtended-20B
- Undi95/PsyMedRP-v1-20B
- Elfrino/PsyMedLewdPass
- Undi95/MXLewd-L2-20B
library_name: transformers
tags:
- mergekit
- merge
---
# merge
Trying a new merge technique (sce). Early results are interesting..
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 [SCE](https://arxiv.org/abs/2408.07990) merge method using [Undi95/PsyMedRP-v1-20B](https://huggingface.co/Undi95/PsyMedRP-v1-20B) as a base.
### Models Merged
The following models were included in the merge:
* [Elfrino/XwinXtended-20B](https://huggingface.co/Elfrino/XwinXtended-20B)
* [Elfrino/PsyMedLewdPass](https://huggingface.co/Elfrino/PsyMedLewdPass)
* [Undi95/MXLewd-L2-20B](https://huggingface.co/Undi95/MXLewd-L2-20B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: sce
models:
- model: Undi95/MXLewd-L2-20B
- model: Elfrino/PsyMedLewdPass
- model: Elfrino/XwinXtended-20B
base_model: Undi95/PsyMedRP-v1-20B
tokenizer:
source: base
parameters:
select_topk: 0.8
dtype: float32
out_dtype: bfloat16
normalize: true
```
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