---
base_model: []
library_name: transformers
tags:
- mergekit
- merge

---
# final_merge_evo

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 ./storage_evo/input_models/Mistral-7B-v0.1_8133861 as a base.

### Models Merged

The following models were included in the merge:
* ./storage_evo/input_models/WizardMath-7B-V1.1_2027605156
* ./storage_evo/input_models/shisa-gamma-7b-v1_4025154171

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: ./storage_evo/input_models/Mistral-7B-v0.1_8133861
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 32]
    model: ./storage_evo/input_models/shisa-gamma-7b-v1_4025154171
    parameters:
      density: 1.0
      weight: 0.011205095488974873
  - layer_range: [0, 32]
    model: ./storage_evo/input_models/WizardMath-7B-V1.1_2027605156
    parameters:
      density: 0.5651072788500664
      weight: 0.7263645106101857
  - layer_range: [0, 32]
    model: ./storage_evo/input_models/Mistral-7B-v0.1_8133861
```