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---
base_model:
- taozi555/MN-12B-Mag-Mell-R1-KTO
- Vortex5/MegaMoon-Karcher-12B
- Vortex5/Scarlet-Ink-12B
- Vortex5/Harmonic-Moon-12B
library_name: transformers
tags:
- mergekit
- merge
- roleplay
---
# Velvet-Orchid-12B
This is a multi-stage 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 DELLA](https://arxiv.org/abs/2406.11617) merge method using [Vortex5/MegaMoon-Karcher-12B](https://huggingface.co/Vortex5/MegaMoon-Karcher-12B) as a base.
### Models Merged
The following models were included in the merge:
* ./intermediates/First
* [taozi555/MN-12B-Mag-Mell-R1-KTO](https://huggingface.co/taozi555/MN-12B-Mag-Mell-R1-KTO)
* [Vortex5/Scarlet-Ink-12B](https://huggingface.co/Vortex5/Scarlet-Ink-12B)
* [Vortex5/Harmonic-Moon-12B](https://huggingface.co/Vortex5/Harmonic-Moon-12B)
### Configuration
The following YAML configuration was used to produce this model:
<details>
<summary><b>Merge Config</b> (click to expand)</summary>
```yaml
name: First
models:
- model: Vortex5/Harmonic-Moon-12B
- model: Vortex5/Scarlet-Ink-12B
merge_method: karcher
dtype: bfloat16
parameters:
tol: 1e-10
max_iter: 1200
tokenizer:
source: union
```
```yaml
base_model: Vortex5/MegaMoon-Karcher-12B
dtype: bfloat16
merge_method: della_linear
modules:
default:
slices:
- sources:
- layer_range: [0, 40]
model: ./intermediates/First
parameters:
density: 0.5
epsilon: 0.4
weight: [0.9, 0.2, 0.2, 0.2, 0.95, 0.8, 0.4, 0.2]
- layer_range: [0, 40]
model: taozi555/MN-12B-Mag-Mell-R1-KTO
parameters:
density: 0.5
epsilon: 0.4
weight: [0.1, 0.9, 1.0, 0.95, 0.4, 0.4, 0.5, 0.3]
- layer_range: [0, 40]
model: Vortex5/MegaMoon-Karcher-12B
parameters:
lambda: 1.0
normalize: 1.0
tokenizer: {}
```
</details> |