---

base_model:
- nbeerbower/Gemma2-Gutenberg-Doppel-9B
- wzhouad/gemma-2-9b-it-WPO-HB
library_name: transformers
tags:
- mergekit
- merge


---

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


# QuantFactory/Gemma-2-Ataraxy-v3b-9B-GGUF
This is quantized version of [lemon07r/Gemma-2-Ataraxy-v3b-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v3b-9B) created using llama.cpp

# Original Model Card

# Gemma-2-Ataraxy-v3b-9B

Another test 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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [nbeerbower/Gemma2-Gutenberg-Doppel-9B](https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B)
* [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
base_model: wzhouad/gemma-2-9b-it-WPO-HB
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.0, 0.5, 0.3, 0.7, 1.0]
  - filter: mlp
    value: [1.0, 0.5, 0.7, 0.3, 0.0]
  - value: 0.5
slices:
- sources:
  - layer_range: [0, 42]
    model: nbeerbower/Gemma2-Gutenberg-Doppel-9B
  - layer_range: [0, 42]
    model: wzhouad/gemma-2-9b-it-WPO-HB
```