README.md

---
base_model:
- flemmingmiguel/MBX-7B-v3
- mlabonne/OmniBeagle-7B
- mistralai/Mistral-7B-v0.1
- vanillaOVO/supermario_v4
tags:
- mergekit
- merge
license: apache-2.0
language:
- en
---
# Macaroni V2 7B

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 [DARE](https://arxiv.org/abs/2311.03099) [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:
* [flemmingmiguel/MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3)
* [mlabonne/OmniBeagle-7B](https://huggingface.co/mlabonne/OmniBeagle-7B)
* [vanillaOVO/supermario_v4](https://huggingface.co/vanillaOVO/supermario_v4)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: mistralai/Mistral-7B-v0.1
    # no parameters necessary for base model
  - model: flemmingmiguel/MBX-7B-v3
    parameters:
      density: 0.7
      weight: 0.5
  - model: vanillaOVO/supermario_v4
    parameters:
      density: 0.7
      weight: 0.3
  - model: mlabonne/OmniBeagle-7B
    parameters:
      density: 0.5
      weight: 0.6
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
  normalize: true
dtype: float16
```