---
base_model:
- NeverSleep/Nethena-20B
- Undi95/PsyMedRP-v1-20B
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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [NeverSleep/Nethena-20B](https://huggingface.co/NeverSleep/Nethena-20B)
* [Undi95/PsyMedRP-v1-20B](https://huggingface.co/Undi95/PsyMedRP-v1-20B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: Undi95/PsyMedRP-v1-20B
        layer_range: [0, 62]  # PsyMedRP has 62 layers
      - model: NeverSleep/Nethena-20B
        layer_range: [0, 62]  # Nethena-20B has 62 layers
merge_method: slerp  # Changing to SLERP method
base_model: Undi95/PsyMedRP-v1-20B  # Focus on reasoning from PsyMedRP
parameters:
  t:
    - filter: self_attn
      value: [.3, .6, .9, .6, .3]  # smooth gradient of focus
      value: [.3, .6, .9, .6, .3]  # consistent level of creativity and abstract reasoning
    - value: 0.639 
dtype: bfloat16  # Use preferred dtype
```