README.md

---
base_model:
- ibm/merlinite-7b
- mistralai/Mistral-7B-v0.1
- l3utterfly/mistral-7b-v0.1-layla-v4
- SanjiWatsuki/Sonya-7B
- NeverSleep/Noromaid-7b-v0.2
- migtissera/SynthIA-7B-v1.3
library_name: transformers
tags:
- mergekit
- merge
---

![](mistressmaid.png)



# Franken-MistressMaid-7B

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details

See Below

### 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:
* [ibm/merlinite-7b](https://huggingface.co/ibm/merlinite-7b)
* [l3utterfly/mistral-7b-v0.1-layla-v4](https://huggingface.co/l3utterfly/mistral-7b-v0.1-layla-v4)
* [SanjiWatsuki/Sonya-7B](https://huggingface.co/SanjiWatsuki/Sonya-7B)
* [NeverSleep/Noromaid-7b-v0.2](https://huggingface.co/NeverSleep/Noromaid-7b-v0.2)
* [migtissera/SynthIA-7B-v1.3](https://huggingface.co/migtissera/SynthIA-7B-v1.3)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: migtissera/SynthIA-7B-v1.3
    parameters:
      weight: 1
      density: 1
  - model: ibm/merlinite-7b
    parameters:
      weight: 0.3
  - model: SanjiWatsuki/Sonya-7B
    parameters:
      weight: 0.2
  - model: NeverSleep/Noromaid-7b-v0.2
    parameters:
      weight: 0.2
  - model: l3utterfly/mistral-7b-v0.1-layla-v4
    parameters:
      weight: 0.2
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  density: 0.4
  int8_mask: true
  normalize: true
dtype: bfloat16
```