README.md

---
base_model:
- VAGOsolutions/SauerkrautLM-gemma-2-9b-it
- silma-ai/SILMA-9B-Instruct-v1.0
- AXCXEPT/EZO-Humanities-9B-gemma-2-it
- princeton-nlp/gemma-2-9b-it-SimPO
- anthracite-org/magnum-v3-9b-customgemma2
library_name: transformers
pipeline_tag: text-generation
tags:
- mergekit
- merge
license: gemma
---
# Gigantes-v1-gemma2-9b-it

This repo contains a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

It was hoped that the contributions of Japanese, German, and Arabic instruct models would contribute to reasoning as well as increasing the complexity of English text generation.

## Merge Details
### Merge Method

This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO) as a base.

### Models Merged

The following models were included in the merge:
* [VAGOsolutions/SauerkrautLM-gemma-2-9b-it](https://huggingface.co/VAGOsolutions/SauerkrautLM-gemma-2-9b-it)
* [silma-ai/SILMA-9B-Instruct-v1.0](https://huggingface.co/silma-ai/SILMA-9B-Instruct-v1.0)
* [AXCXEPT/EZO-Humanities-9B-gemma-2-it](https://huggingface.co/AXCXEPT/EZO-Humanities-9B-gemma-2-it)
* [anthracite-org/magnum-v3-9b-customgemma2](https://huggingface.co/anthracite-org/magnum-v3-9b-customgemma2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: princeton-nlp/gemma-2-9b-it-SimPO
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: true
models:
  - model: princeton-nlp/gemma-2-9b-it-SimPO
  - model: AXCXEPT/EZO-Humanities-9B-gemma-2-it
    parameters:
      weight: 0.3
  - model: VAGOsolutions/SauerkrautLM-gemma-2-9b-it
    parameters:
      weight: 0.1
  - model: anthracite-org/magnum-v3-9b-customgemma2
    parameters:
      weight: 0.01
  - model: silma-ai/SILMA-9B-Instruct-v1.0
    parameters:
      weight: 0.001

```