---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
license: cc-by-nc-4.0
---
# unified

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:
* workspace2
* workspace1

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: cognitivecomputations/samantha-1.1-westlake-7b
    layer_range: [0, 32]
  - model: NeverSleep/Noromaid-7B-0.4-DPO
    layer_range: [0, 32]
merge_method: slerp
base_model: NeverSleep/Noromaid-7B-0.4-DPO
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
name: workspace1
---
models:
  - model: teknium/OpenHermes-2.5-Mistral-7B
    layer_range: [0, 32]
  - model: Open-Orca/Mistral-7B-OpenOrca
    layer_range: [0, 32]
merge_method: slerp
base_model: teknium/OpenHermes-2.5-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
name: workspace2
---
models:
  - model: workspace1
    layer_range: [0, 32]
  - model: workspace2
    layer_range: [0, 32]
merge_method: slerp
base_model: workspace1
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






```