README.md

---
license: apache-2.0
base_model:
- Epiculous/Mika-7B
- nbeerbower/bruphin-theta
library_name: transformers
tags:
- mergekit
- merge

---
# Bruphin-Mika-7B

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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [Epiculous/Mika-7B](https://huggingface.co/Epiculous/Mika-7B)
* [nbeerbower/bruphin-theta](https://huggingface.co/nbeerbower/bruphin-theta)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: nbeerbower/bruphin-theta
    layer_range: [0, 32]
  - model: Epiculous/Mika-7B
    layer_range: [0, 32]
merge_method: slerp
base_model: Epiculous/Mika-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

```