Instructions to use alexandersdata/gemma-4-E4B-hebrew-first with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandersdata/gemma-4-E4B-hebrew-first with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alexandersdata/gemma-4-E4B-hebrew-first", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Model save
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Fix: add assistant_only_loss=False to prevent all labels being masked to -100
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Training in progress, step 500
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Add adapter resume support: loads previous adapter from hub if available, 48h timeout ready
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Training in progress, step 500
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Optimal config: high-quality Hebrew data, constant LR, packing disabled, lora_dropout=0.1
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Switch to packing=True, batch=4, grad_acc=4, step-based checkpoints for speed
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Disable eval to fix OOM on A10G
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initial commit
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