---
base_model:
- BarraHome/Mistroll-7B-v2.2
- ClaudioItaly/Evolutionstory
library_name: transformers
tags:
- mergekit
- merge
license: mit
---

# merge

I finally think I managed to make a model with high writing skills. Based on the prompt it manages to be very coherent with the story. 

It also has great RAG capabilities.


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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [BarraHome/Mistroll-7B-v2.2](https://huggingface.co./BarraHome/Mistroll-7B-v2.2)
* [ClaudioItaly/Evolutionstory](https://huggingface.co./ClaudioItaly/Evolutionstory)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: BarraHome/Mistroll-7B-v2.2
  - model: ClaudioItaly/Evolutionstory
merge_method: slerp
base_model: ClaudioItaly/Evolutionstory
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers

```