---
base_model:
- InferenceIllusionist/Excalibur-7b-DPO
- yam-peleg/Experiment26-7B
- MTSAIR/multi_verse_model
- chihoonlee10/T3Q-Mistral-Orca-Math-DPO
library_name: transformers
tags:
- mergekit
- merge

---
# hapsburg-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 [InferenceIllusionist/Excalibur-7b-DPO](https://huggingface.co/InferenceIllusionist/Excalibur-7b-DPO) as a base.

### Models Merged

The following models were included in the merge:
* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model)
* [chihoonlee10/T3Q-Mistral-Orca-Math-DPO](https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: InferenceIllusionist/Excalibur-7b-DPO
  - model: MTSAIR/multi_verse_model
    parameters:
      density: 0.53
      weight: 0.4
  - model: yam-peleg/Experiment26-7B
    parameters:
      density: 0.53
      weight: 0.3
  - model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
    parameters:
      density: 0.53
      weight: 0.3
merge_method: dare_ties
base_model: InferenceIllusionist/Excalibur-7b-DPO
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
```