README.md

---
base_model:
- shisa-ai/shisa-v2-mistral-nemo-12b
- nbeerbower/mistral-nemo-gutenberg-12B-v4
- natong19/Mistral-Nemo-Instruct-2407-abliterated
- Elizezen/Himeyuri-v0.1-12B
library_name: transformers
tags:
- mergekit
- merge
- linear
language:
- en
- ja
---
![image/png](https://huggingface.co/yamatazen/LinearWriter-12B/resolve/main/LinearWriter-12B.png?download=true)
# LinearWriter-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 [Linear](https://arxiv.org/abs/2203.05482) merge method.

### Models Merged

The following models were included in the merge:
* [shisa-ai/shisa-v2-mistral-nemo-12b](https://huggingface.co/shisa-ai/shisa-v2-mistral-nemo-12b)
* [nbeerbower/mistral-nemo-gutenberg-12B-v4](https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v4)
* [natong19/Mistral-Nemo-Instruct-2407-abliterated](https://huggingface.co/natong19/Mistral-Nemo-Instruct-2407-abliterated)
* [Elizezen/Himeyuri-v0.1-12B](https://huggingface.co/Elizezen/Himeyuri-v0.1-12B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: linear
dtype: bfloat16
out_dtype: bfloat16
models:
  - model: natong19/Mistral-Nemo-Instruct-2407-abliterated # Uncensor
    parameters:
      weight: 1.0
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4 # Writing
    parameters:
      weight: [0.25, 0.3, 0.5, 0.6, 0.75]
  - model: Elizezen/Himeyuri-v0.1-12B # Japanese
    parameters:
      weight: [0.25, 0.3, 0.6, 0.3, 0.25]
  - model: shisa-ai/shisa-v2-mistral-nemo-12b # Japanese
    parameters:
      weight: [0.25, 0.3, 0.5, 0.3, 0.25]
```