README.md

---
base_model:
- ibm/merlinite-7b
- l3utterfly/mistral-7b-v0.1-layla-v4
- Undi95/Toppy-M-7B
- senseable/WestLake-7B-v2
- jondurbin/bagel-dpo-7b-v0.4
library_name: transformers
tags:
- mergekit
- merge

---
![](mistressmaid.png)

# Franken-Mistress-7B-v2

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

## Merge Details

So far of the Franken merges, this one does very well using the Min-P and Noromaid settings in SillyTavern 2.  This one seems even better then the 10.5B version of this model.

### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using Franken-Maid 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)
* [Undi95/Toppy-M-7B](https://huggingface.co/Undi95/Toppy-M-7B)
* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
* [jondurbin/bagel-dpo-7b-v0.4](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.4)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: ibm/merlinite-7b 
    parameters:
      weight: 1
      density: 1
  - model: Undi95/Toppy-M-7B
    parameters:
      weight: 0.3
  - model: jondurbin/bagel-dpo-7b-v0.4
    parameters:
      weight: 0.2
  - model: senseable/WestLake-7B-v2 
    parameters:
      weight: 0.2
  - model: l3utterfly/mistral-7b-v0.1-layla-v4
    parameters:
      weight: 0.2
merge_method: ties
base_model: Franken-Maid
parameters:
  density: 0.4
  int8_mask: true
  normalize: true
dtype: bfloat16
```