Instructions to use Gunulhona/Gemma-3-27B-Text-Only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gunulhona/Gemma-3-27B-Text-Only with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gunulhona/Gemma-3-27B-Text-Only", dtype="auto") - Notebooks
- Google Colab
- Kaggle
merge
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 google/medgemma-27b-text-it as a base.
Models Merged
The following models were included in the merge:
- /content/gemma-3-proxy
Configuration
The following YAML configuration was used to produce this model:
base_model: google/medgemma-27b-text-it
dtype: bfloat16
merge_method: arcee_fusion
modules:
default:
slices:
- sources:
- layer_range: [0, 62]
model: google/medgemma-27b-text-it
- layer_range: [0, 62]
model: /content/gemma-3-proxy
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