README.md

---

base_model:
- wzhouad/gemma-2-9b-it-WPO-HB
- google/gemma-2-9b-it
- princeton-nlp/gemma-2-9b-it-SimPO
library_name: transformers
tags:
- mergekit
- merge


---

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)

# QuantFactory/gemma-advanced-v1-GGUF
This is quantized version of [jsgreenawalt/gemma-advanced-v1](https://huggingface.co/jsgreenawalt/gemma-advanced-v1) created using llama.cpp

# Original Model Card

# Gemma Advanced V1

Experimental merge #1, attempting to combine some of the advanced Gemma fine-tunes 

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 merge method using [google/google-gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) as a base.

### Models Merged

The following models were included in the merge:
* [wzhouad/gemma-2-9b-it-WPO-HB](https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB)
* [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: google/gemma-2-9b-it 
    # no parameters necessary for base model
  - model: princeton-nlp/gemma-2-9b-it-SimPO 
    parameters:
      density: 0.5
      weight: 0.5
  - model: wzhouad/gemma-2-9b-it-WPO-HB
    parameters:
      density: 0.5
      weight: 0.5
merge_method: della
base_model: google/gemma-2-9b-it
parameters:
  normalize: true
dtype: float16

```