---
base_model:
- nothingiisreal/MN-12B-Starcannon-v3
library_name: transformers
tags:
- mergekit
- merge

---

# Unofficial continuation of [aetherwiing's](https://huggingface.co/aetherwiing) "Starcannon" series

By request, I made this merge of v3 and v5. It doesn't seem majorly dissimilar from v5, but it does seem to act slightly differently.

static quants at: https://huggingface.co/mradermacher/MN-12B-Starcannon-v5.5-unofficial-GGUF

imatrix quants at: https://huggingface.co/mradermacher/MN-12B-Starcannon-v5.5-unofficial-i1-GGUF

# mergedmodel

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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [nothingiisreal/MN-12B-Starcannon-v3](https://huggingface.co/nothingiisreal/MN-12B-Starcannon-v3) as a base.

### Models Merged

The following models were included in the merge:
* /home/ciaran/Documents/Quantisingmodels/testmerges/MN-12B-Starcannon-v5-unofficial/

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
    - model: /home/ciaran/Documents/Quantisingmodels/testmerges/MN-12B-Starcannon-v5-unofficial/
      parameters:
        density: 0.25
        weight: 0.4
    - model: nothingiisreal/MN-12B-Starcannon-v3
      parameters:
        density: 0.75
        weight: 0.6

merge_method: ties
base_model: nothingiisreal/MN-12B-Starcannon-v3
parameters:
    normalize: true
    int8_mask: true
dtype: bfloat16

```