---
base_model:
- Treza12/Biomistral-Class2-Full
- Treza12/Biomistral-Class0-Full
- Treza12/Biomistral-Class4-Full
- Treza12/Biomistral-Class1-Full
- Treza12/Biomistral-Class5-Full
- Treza12/Biomistral-Class3-Full
- BioMistral/BioMistral-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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/BioMistral-7B) as a base.

### Models Merged

The following models were included in the merge:
* [Treza12/Biomistral-Class2-Full](https://huggingface.co/Treza12/Biomistral-Class2-Full)
* [Treza12/Biomistral-Class0-Full](https://huggingface.co/Treza12/Biomistral-Class0-Full)
* [Treza12/Biomistral-Class4-Full](https://huggingface.co/Treza12/Biomistral-Class4-Full)
* [Treza12/Biomistral-Class1-Full](https://huggingface.co/Treza12/Biomistral-Class1-Full)
* [Treza12/Biomistral-Class5-Full](https://huggingface.co/Treza12/Biomistral-Class5-Full)
* [Treza12/Biomistral-Class3-Full](https://huggingface.co/Treza12/Biomistral-Class3-Full)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Treza12/Biomistral-Class0-Full
    parameters:
      density: 0.5 
      weight: 0.5
  - model: Treza12/Biomistral-Class1-Full
    parameters:
      density: 0.5 
      weight: 0.5
  - model: Treza12/Biomistral-Class2-Full
    parameters:
      density: 0.5 
      weight: 0.5
  - model: Treza12/Biomistral-Class3-Full
    parameters:
      density: 0.5 
      weight: 0.5
  - model: Treza12/Biomistral-Class4-Full
    parameters:
      density: 0.5 
      weight: 0.5
  - model: Treza12/Biomistral-Class5-Full
    parameters:
      density: 0.5 
      weight: 0.5
merge_method: ties
base_model: BioMistral/BioMistral-7B
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```