---
base_model:
- nothingiisreal/MN-12B-Celeste-V1.9
- Sao10K/MN-12B-Lyra-v1
library_name: transformers
tags:
- mergekit
- merge
---
# Mistral Nemo 12B Starsong

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). Just messing around, thought this one turned out distinct enough? YMMV on that, but I kinda liked it. It's definitely better for SFW than for NSFW tho. Seems to be stabler with Mistral formatting? Weird, both merged models were trained with ChatML. I guess we chalk it up to another merging anomaly, heh.  <br>
Unlicensed bc I got enlightened (lmao) and don't want to license machine output anymore.<br>
Thanks to [Sao](https://huggingface.co/Sao10K) for [Lyra](https://huggingface.co/Sao10K/MN-12B-Lyra-v1) btw, really liking the direction where those experimental models are heading. Keep it up!
<br><br>
[Static GGUF (by Mradermacher)](https://huggingface.co/mradermacher/MN-12B-Starsong-v1-GGUF) <br>
[EXL2 (by kingbri of RoyalLab)]( https://huggingface.co/royallab/MN-12B-Starsong-v1-exl2)
## Merge Details
### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [nothingiisreal/MN-12B-Celeste-V1.9](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9) as a base.

### Merge Fodder

The following models were included in the merge:
* [nothingiisreal/MN-12B-Celeste-V1.9](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9)
* [Sao10K/MN-12B-Lyra-v1](https://huggingface.co/Sao10K/MN-12B-Lyra-v1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Sao10K/MN-12B-Lyra-v1
    parameters:
      density: 0.45
      weight: 0.5
  - model: nothingiisreal/MN-12B-Celeste-V1.9
    parameters:
      density: 0.65
      weight: 0.5

merge_method: ties
base_model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16

```