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---
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
```
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