---
base_model:
- shahzebnaveed/NeuralHermes-2.5-Mistral-7B
- berkeley-nest/Starling-LM-7B-alpha
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:
* [shahzebnaveed/NeuralHermes-2.5-Mistral-7B](https://huggingface.co./shahzebnaveed/NeuralHermes-2.5-Mistral-7B)
* [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co./berkeley-nest/Starling-LM-7B-alpha)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

slices:
  - sources:
      - model: berkeley-nest/Starling-LM-7B-alpha
        layer_range: [0, 32]
      - model: shahzebnaveed/NeuralHermes-2.5-Mistral-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: berkeley-nest/Starling-LM-7B-alpha
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


```