---
base_model:
- VAGOsolutions/SauerkrautLM-7b-HerO
- avemio-digital/laser_Vago_sauwerkrothero_fillintheblank
- avemio-digital/laser_Vago_sauwerkrothero_bigdata
library_name: transformers
tags:
- mergekit
- merge

---
# mergedmodel

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 [VAGOsolutions/SauerkrautLM-7b-HerO](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-HerO) as a base.

### Models Merged

The following models were included in the merge:
* [avemio-digital/laser_Vago_sauwerkrothero_fillintheblank](https://huggingface.co/avemio-digital/laser_Vago_sauwerkrothero_fillintheblank)
* [avemio-digital/laser_Vago_sauwerkrothero_bigdata](https://huggingface.co/avemio-digital/laser_Vago_sauwerkrothero_bigdata)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: VAGOsolutions/SauerkrautLM-7b-HerO
    # no parameters necessary for base model
  - model: avemio-digital/laser_Vago_sauwerkrothero_bigdata
    parameters:
      density: 0.5
      weight: 0.5
  - model: avemio-digital/laser_Vago_sauwerkrothero_fillintheblank
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: VAGOsolutions/SauerkrautLM-7b-HerO
parameters:
  normalize: true
dtype: float16

```