---
base_model:
- mlabonne/NeuralBeagle14-7B
- Nexusflow/Starling-LM-7B-beta
- CorticalStack/pastiche-crown-clown-7b-dare-dpo
- mistralai/Mistral-7B-Instruct-v0.2
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) as a base.

### Models Merged

The following models were included in the merge:
* [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
* [CorticalStack/pastiche-crown-clown-7b-dare-dpo](https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare-dpo)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: mistralai/Mistral-7B-Instruct-v0.2
dtype: bfloat16
merge_method: dare_ties
models:
- model: mistralai/Mistral-7B-Instruct-v0.2
- model: Nexusflow/Starling-LM-7B-beta
  parameters:
    density: '0.53'
    weight: '0.4'
- model: mlabonne/NeuralBeagle14-7B
  parameters:
    density: '0.53'
    weight: '0.3'
- model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
  parameters:
    density: '0.53'
    weight: '0.3'
parameters:
  int8_mask: true

```