README.md

---
base_model:
- Gaivoronsky/Mistral-7B-Saiga
- HuggingFaceH4/mistral-7b-grok
- NousResearch/Yarn-Mistral-7b-128k
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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Gaivoronsky/Mistral-7B-Saiga](https://huggingface.co./Gaivoronsky/Mistral-7B-Saiga) as a base.

### Models Merged

The following models were included in the merge:
* [HuggingFaceH4/mistral-7b-grok](https://huggingface.co./HuggingFaceH4/mistral-7b-grok)
* [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co./NousResearch/Yarn-Mistral-7b-128k)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
- sources:
  - model: Gaivoronsky/Mistral-7B-Saiga
    layer_range:
    - 0
    - 32
  - model: HuggingFaceH4/mistral-7b-grok
    layer_range:
    - 0
    - 32
  - model: NousResearch/Yarn-Mistral-7b-128k
    layer_range:
    - 0
    - 32
merge_method: model_stock
base_model: Gaivoronsky/Mistral-7B-Saiga
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
  - filter: mlp
    value:
    - 1
    - 0.5
    - 0.7
    - 0.3
    - 0
  - value: 0.5
dtype: bfloat16
```