Instructions to use NAYU-frontline/gemma-3-gal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NAYU-frontline/gemma-3-gal with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NAYU-frontline/gemma-3-gal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: NAYU01
- License: apache-2.0
- Finetuned from model : unsloth/gemma-3-27b-it-unsloth-bnb-4bit
This gemma3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for NAYU-frontline/gemma-3-gal
Base model
google/gemma-3-27b-pt Finetuned
google/gemma-3-27b-it Quantized
unsloth/gemma-3-27b-it-unsloth-bnb-4bit