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---
base_model:
- princeton-nlp/gemma-2-9b-it-SimPO
- google/gemma-2-9b-it
- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
- wzhouad/gemma-2-9b-it-WPO-HB
- google/gemma-2-9b
library_name: transformers
tags:
- mergekit
- merge
---
# merged_model
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 [DELLA](https://arxiv.org/abs/2406.11617) merge method using [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) as a base.
### Models Merged
The following models were included in the merge:
* [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO)
* [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it)
* [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3)
* [wzhouad/gemma-2-9b-it-WPO-HB](https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: google/gemma-2-9b
- model: google/gemma-2-9b-it
parameters:
density: 1.0
weight: 0.6
- model: wzhouad/gemma-2-9b-it-WPO-HB
parameters:
density: 0.55
weight: 0.6
- model: princeton-nlp/gemma-2-9b-it-SimPO
parameters:
density: 0.35
weight: 0.6
- model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
density: 0.25
weight: 0.4
merge_method: della
base_model: google/gemma-2-9b
parameters:
normalize: true
int8_mask: true
lambda: 1.0
epsilon: 0.1
dtype: float16
```
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