---
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

```