---
base_model:
- Aleteian/Darkness-Reign-MN-12B
- yamatazen/LorablatedStock-12B
- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
- DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS
- SuperbEmphasis/Omega-Darker_The-Final-Directive-Longform-Stage2-ERP-12B-v0.2
- pot99rta/Patricide-12B-Forgottenslop-Mell
- mergekit-community/Irix-12B_Slush
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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [pot99rta/Patricide-12B-Forgottenslop-Mell](https://huggingface.co/pot99rta/Patricide-12B-Forgottenslop-Mell) as a base.

### Models Merged

The following models were included in the merge:
* [Aleteian/Darkness-Reign-MN-12B](https://huggingface.co/Aleteian/Darkness-Reign-MN-12B)
* [yamatazen/LorablatedStock-12B](https://huggingface.co/yamatazen/LorablatedStock-12B)
* [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2)
* [DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS](https://huggingface.co/DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS)
* [SuperbEmphasis/Omega-Darker_The-Final-Directive-Longform-Stage2-ERP-12B-v0.2](https://huggingface.co/SuperbEmphasis/Omega-Darker_The-Final-Directive-Longform-Stage2-ERP-12B-v0.2)
* [mergekit-community/Irix-12B_Slush](https://huggingface.co/mergekit-community/Irix-12B_Slush)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: pot99rta/Patricide-12B-Forgottenslop-Mell
models:
  - model: mergekit-community/Irix-12B_Slush
  - model: yamatazen/LorablatedStock-12B
  - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
  - model: SuperbEmphasis/Omega-Darker_The-Final-Directive-Longform-Stage2-ERP-12B-v0.2
  - model: DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS
  - model: Aleteian/Darkness-Reign-MN-12B
  
merge_method: model_stock
dtype: bfloat16
out_dtype: bfloat16
parameters:
  normalize: true
tokenizer:
  source: union
```