README.md

---

base_model:
- jsgreenawalt/gemma-2-9B-it-advanced-v2.1
- nbeerbower/gemma2-gutenberg-9B
- ifable/gemma-2-Ifable-9B
- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
- lemon07r/Gemma-2-Ataraxy-9B
- BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
library_name: transformers
tags:
- mergekit
- merge


---

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# QuantFactory/Pullulation-2-9B-GGUF
This is quantized version of [ClaudioItaly/Pullulation-2-9B](https://huggingface.co/ClaudioItaly/Pullulation-2-9B) created using llama.cpp

# Original Model Card

# 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [nbeerbower/gemma2-gutenberg-9B](https://huggingface.co/nbeerbower/gemma2-gutenberg-9B) as a base.

### Models Merged

The following models were included in the merge:
* [jsgreenawalt/gemma-2-9B-it-advanced-v2.1](https://huggingface.co/jsgreenawalt/gemma-2-9B-it-advanced-v2.1)
* [ifable/gemma-2-Ifable-9B](https://huggingface.co/ifable/gemma-2-Ifable-9B)
* [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3)
* [lemon07r/Gemma-2-Ataraxy-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B)
* [BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference](https://huggingface.co/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: nbeerbower/gemma2-gutenberg-9B
    parameters:
      weight: 0.25
  - model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
    parameters:
      weight: 0.25
  - model: ifable/gemma-2-Ifable-9B
    parameters:
      weight: 0.25
  - model: jsgreenawalt/gemma-2-9B-it-advanced-v2.1
    parameters:
      weight: 0.25
  - model: lemon07r/Gemma-2-Ataraxy-9B
    parameters:
      weight: 0.25
  - model: BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
    parameters:
      weight: 0.25

base_model: nbeerbower/gemma2-gutenberg-9B  # Modello di riferimento per la fusione

parameters:
  t: [0, 0.33, 0.67, 1]  # Parametri di interpolazione
dtype: bfloat16
merge_method: model_stock  # Metodo di fusione


```