Instructions to use teachsavvy/Llama-3.1-8B-unsloth-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teachsavvy/Llama-3.1-8B-unsloth-bnb-4bit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("teachsavvy/Llama-3.1-8B-unsloth-bnb-4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 7bc8a60cdd14697faafdcd32f283b0fc6d55a11ee83af5ae4589ff8b2f2c8796
- Size of remote file:
- 168 MB
- SHA256:
- a2a7775b4dad8da7e0f350de375b60f0cb20057bcb0ca19ae8dfce9a4a830674
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