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