Instructions to use Vortex5/Poetic-Nexus-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vortex5/Poetic-Nexus-12B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vortex5/Poetic-Nexus-12B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Poetic-Nexus-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:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Vortex5/Poetic-Rune-12B
- model: Vortex5/Lunar-Nexus-12B
merge_method: karcher
dtype: bfloat16
parameters:
tol: 1e-8
max_iter: 800
tokenizer:
source: union
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