README.md

---
base_model:
- mayacinka/yam-jom-7B-slerp
- ammarali32/multi_verse_model
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 [mayacinka/yam-jom-7B-slerp](https://huggingface.co./mayacinka/yam-jom-7B-slerp) as a base.

### Models Merged

The following models were included in the merge:
* [ammarali32/multi_verse_model](https://huggingface.co./ammarali32/multi_verse_model)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
- model: mayacinka/yam-jom-7B-slerp
  # No parameters necessary for base model
- model: ammarali32/multi_verse_model
  parameters:
    density: 0.53
    weight: 0.6
merge_method: dare_ties
base_model: mayacinka/yam-jom-7B-slerp
parameters:
int8_mask: true
dtype: bfloat16
random_seed: 0
    
```