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---
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
``` |