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Model: AuriAetherwiing/MN-12B-Starcannon-v3
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---
base_model:
- anthracite-org/magnum-12b-v2
- nothingiisreal/MN-12B-Celeste-V1.9
library_name: transformers
tags:
- mergekit
- merge
---
# Mistral Nemo 12B Starcannon v3
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). Artbitrary update, because I know that people would request it. Didn't have much time to test it, tbh, but feels nice enough? It's up to y'all to decide if it's an upgrade, sidegrade or downgrade. At least now both models have ChatML trained, there's that.
<br>
[Static GGUF (by Mradermacher)](https://huggingface.co/mradermacher/MN-12B-Starcannon-v3-GGUF) <br>
[Imatrix GGUF (by Mradermacher)](https://huggingface.co/mradermacher/MN-12B-Starcannon-v3-i1-GGUF) <br>
[EXL2 (by kingbri of RoyalLab)](https://huggingface.co/royallab/MN-12B-Starcannon-v3-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:
* [anthracite-org/magnum-12b-v2](https://huggingface.co/anthracite-org/magnum-12b-v2)
* [nothingiisreal/MN-12B-Celeste-V1.9](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: anthracite-org/magnum-12b-v2
parameters:
density: 0.3
weight: 0.5
- model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
density: 0.7
weight: 0.5
merge_method: ties
base_model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
```