---
base_model:
- nbeerbower/Stella-mistral-nemo-12B-v2
- nbeerbower/mistral-nemo-gutenberg-12B-v2
library_name: transformers
tags:
- mergekit
- merge
license: mit
---
# 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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [nbeerbower/Stella-mistral-nemo-12B-v2](https://huggingface.co/nbeerbower/Stella-mistral-nemo-12B-v2)
* [nbeerbower/mistral-nemo-gutenberg-12B-v2](https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: nbeerbower/Stella-mistral-nemo-12B-v2
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v2
merge_method: slerp
tokenizer_merge_method: slerp
tokenizer_parameters:
  t: 0.3  # Dà più peso al tokenizer 
base_model: nbeerbower/mistral-nemo-gutenberg-12B-v2
dtype: bfloat16
parameters:
  t: [0, 0.2, 0.4, 0.5, 0.4, 0.2, 0]  # Curva che favorisce leggermente 
  temp: 1.3  # Temperatura per smoothare il merge
density:  # Density merging per bilanciare le caratteristiche dei due modelli
  - threshold: 0.1
    t: 0.7
  - threshold: 0.5
    t: 0.5
  - threshold: 0.9
    t: 0.3
```