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---
base_model:
- flammenai/Mahou-1.3-mistral-nemo-12B
- nbeerbower/mistral-nemo-gutenberg-12B-v3
library_name: transformers
tags:
- mergekit
- merge
---
![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
# QuantFactory/Mahou-Gutenberg-Nemo-12B-GGUF
This is quantized version of [nbeerbower/Mahou-Gutenberg-Nemo-12B](https://huggingface.co/nbeerbower/Mahou-Gutenberg-Nemo-12B) created using llama.cpp
# Original Model Card
# Mahou-Gutenberg-Nemo-12B
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_linear merge method using [flammenai/Mahou-1.3-mistral-nemo-12B](https://huggingface.co/flammenai/Mahou-1.3-mistral-nemo-12B) as a base.
### Models Merged
The following models were included in the merge:
* [nbeerbower/mistral-nemo-gutenberg-12B-v3](https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v3)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: flammenai/Mahou-1.3-mistral-nemo-12B
parameters:
weight: 0.5
density: 0.8
- model: nbeerbower/mistral-nemo-gutenberg-12B-v3
parameters:
weight: 0.5
density: 0.8
merge_method: della_linear
base_model: flammenai/Mahou-1.3-mistral-nemo-12B
parameters:
epsilon: 0.05
lambda: 1
int8_mask: true
dtype: bfloat16
tokenzer_source: union
```