README.md

---
license: apache-2.0
---
DPO-Finetune of CultriX/MonaCeption-7B-SLERP


---
base_model:
- CultriX/MonaTrix-v4
- CultriX/MergeCeption-7B-v3
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# 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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [CultriX/MonaTrix-v4](https://huggingface.co/CultriX/MonaTrix-v4)
* [CultriX/MergeCeption-7B-v3](https://huggingface.co/CultriX/MergeCeption-7B-v3)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: CultriX/MergeCeption-7B-v3
        layer_range: [0, 32]
      - model: CultriX/MonaTrix-v4
        layer_range: [0, 32]
merge_method: slerp
base_model: CultriX/MonaTrix-v4
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
random_seed: 0
```