Instructions to use Vortex5/Harmonic-Moon-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vortex5/Harmonic-Moon-12B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vortex5/Harmonic-Moon-12B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
base_model:
- Vortex5/MoonMega-12B
- Vortex5/Shadow-Crystal-12B
- Vortex5/Crystal-Moon-12B
- Vortex5/Lunar-Nexus-12B
- Vortex5/Moondark-12B
- Vortex5/Moonviolet-12B
- Vortex5/Moonlit-Shadow-12B
- Vortex5/Crystal-Ocean-12B
library_name: transformers
tags:
- mergekit
- merge
- roleplay
Harmonic-Moon-12B
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Karcher Mean merge method.
Models Merged
The following models were included in the merge:
- Vortex5/MoonMega-12B
- Vortex5/Shadow-Crystal-12B
- Vortex5/Crystal-Moon-12B
- Vortex5/Lunar-Nexus-12B
- Vortex5/Moondark-12B
- Vortex5/Moonviolet-12B
- Vortex5/Moonlit-Shadow-12B
- Vortex5/Crystal-Ocean-12B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Vortex5/Lunar-Nexus-12B
- model: Vortex5/Crystal-Ocean-12B
- model: Vortex5/Moondark-12B
- model: Vortex5/Moonlit-Shadow-12B
- model: Vortex5/Moonviolet-12B
- model: Vortex5/MoonMega-12B
- model: Vortex5/Shadow-Crystal-12B
- model: Vortex5/Crystal-Moon-12B
merge_method: karcher
dtype: bfloat16
tokenizer:
source: union