---
base_model:
- mlabonne/NeuralHermes-2.5-Mistral-7B
- mistralai/Mistral-7B-v0.1
- oz1115/Marcoro14-7B-slerp_v2
library_name: transformers
tags:
- mergekit
- merge

---
# merged_v2

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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.

### Models Merged

The following models were included in the merge:
* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
* [oz1115/Marcoro14-7B-slerp_v2](https://huggingface.co/oz1115/Marcoro14-7B-slerp_v2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: mistralai/Mistral-7B-v0.1
dtype: float16
merge_method: ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 32]
    model: oz1115/Marcoro14-7B-slerp_v2
    parameters:
      density: [1.0, 0.7, 0.1]
      weight: 1.0
  - layer_range: [0, 32]
    model: mlabonne/NeuralHermes-2.5-Mistral-7B
    parameters:
      density: 0.33
      weight:
      - filter: mlp
        value: 0.5
      - value: 0.0
  - layer_range: [0, 32]
    model: mistralai/Mistral-7B-v0.1
```