Instructions to use Azazelle/MS3.2-24b-Seraphim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Azazelle/MS3.2-24b-Seraphim with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Azazelle/MS3.2-24b-Seraphim", dtype="auto") - Notebooks
- Google Colab
- Kaggle
new
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Arcee Fusion merge method using allura-forge/ms32-final-TEXTONLY as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: allura-forge/ms32-final-TEXTONLY
- model: Doctor-Shotgun/MS3.2-24B-Magnum-Diamond
merge_method: arcee_fusion
base_model: allura-forge/ms32-final-TEXTONLY
dtype: bfloat16
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