README.md

---
base_model:
- google/codegemma-7b
- google/gemma-7b
library_name: transformers
tags:
- mergekit
- merge
license: mit
---
# dare_ties

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 [google/gemma-7b](https://huggingface.co/google/gemma-7b) as a base.

### Models Merged

The following models were included in the merge:
* [google/codegemma-7b](https://huggingface.co/google/codegemma-7b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: google/gemma-7b
    parameters:
      density: 0.5
      weight: 0.5
  - model: google/codegemma-7b
    parameters:
      density: 0.5
      weight: 0.5
  # - model: VAGOsolutions/SauerkrautLM-Gemma-7b
  #   parameters:
  #     density: 0.5
  #     weight: 0.5
merge_method: dare_ties
base_model: google/gemma-7b
parameters:
  int8_mask: true
dtype: bfloat16
```