README.md

---
base_model:
- nbeerbower/Bophades-BruinsMaid-7B
- nbeerbower/flammen13-mistral-7B
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
![image/png](https://huggingface.co/nbeerbower/flammen13X-mistral-7B/resolve/main/flammen13x.png)
# flammen13X-mistral-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:
* [nbeerbower/Bophades-BruinsMaid-7B](https://huggingface.co/nbeerbower/Bophades-BruinsMaid-7B)
* [nbeerbower/flammen13-mistral-7B](https://huggingface.co/nbeerbower/flammen13-mistral-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: nbeerbower/flammen13-mistral-7B
    layer_range: [0, 32]
  - model: nbeerbower/Bophades-BruinsMaid-7B
    layer_range: [0, 32]
merge_method: slerp
base_model: nbeerbower/flammen13-mistral-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

```