README.md

---
base_model:
- MTSAIR/multi_verse_model
- BarraHome/Mistroll-7B-v2.2
- yam-peleg/Experiment26-7B
library_name: transformers
tags:
- mergekit
- merge

---
# multitroll26

![image/webp](https://cdn-uploads.huggingface.co/production/uploads/643eab4f05a395e2b1c727e3/q6Gq3r1q5HWNnpClSeblh.webp)

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). Experiment of merging top 3 7B models on the OpenLLm leaderboard (as of 5/30/2024)

## 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 [BarraHome/Mistroll-7B-v2.2](https://huggingface.co/BarraHome/Mistroll-7B-v2.2) as a base.

### Models Merged

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

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: BarraHome/Mistroll-7B-v2.2
    # no parameters necessary for base model
  - model: yam-peleg/Experiment26-7B
    parameters:
      weight: 0.4
      density: 0.7
  - model: MTSAIR/multi_verse_model
    parameters:
      weight: 0.6
      density: 0.7
merge_method: dare_ties
base_model: BarraHome/Mistroll-7B-v2.2
parameters:
  int8_mask: true
dtype: bfloat16
```
eval coming soon