---
base_model:
- hiig-piai/simba-v01c
- DRXD1000/Phoenix
- mistralai/Mistral-7B-v0.1
- OpenPipe/mistral-ft-optimized-1227
- VAGOsolutions/SauerkrautLM-7b-LaserChat
library_name: transformers
tags:
- mergekit
- 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 [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:
* [hiig-piai/simba-v01c](https://huggingface.co/hiig-piai/simba-v01c)
* [DRXD1000/Phoenix](https://huggingface.co/DRXD1000/Phoenix)
* [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227)
* [VAGOsolutions/SauerkrautLM-7b-LaserChat](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-LaserChat)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
# works but never stops
models:
  - model: mistralai/Mistral-7B-v0.1
    # No parameters necessary for base model
  - model: VAGOsolutions/SauerkrautLM-7b-LaserChat
    parameters:
      density: 0.53
      weight: 0.15
  - model: hiig-piai/simba-v01c
    parameters:
      density: 0.53
      weight: 0.55
  - model: DRXD1000/Phoenix
    parameters:
      density: 0.53
      weight: 0.15
  - model: OpenPipe/mistral-ft-optimized-1227
    parameters:
      density: 0.53
      weight: 0.15
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16
name: VerwaltungsAnthologie_clear_7B


```