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---
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
---
# 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
```
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