Instructions to use A-l-e-x/llama-3.2-unsloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use A-l-e-x/llama-3.2-unsloth with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("A-l-e-x/llama-3.2-unsloth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from A-l-e-x/llama-3.2-unsloth: direct link, hf CLI and curl.
- Browser
- Download file 97.3 MB
-
https://huggingface.co/A-l-e-x/llama-3.2-unsloth/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://A-l-e-x/llama-3.2-unsloth/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/A-l-e-x/llama-3.2-unsloth/resolve/main/adapter_model.safetensors
97.3 MB
- Xet hash:
- 332aad5282b0dff156b3f1c350c52562115af3ace92e1ff16cb2a8a4c1d2d220
- Size of remote file:
- 97.3 MB
- SHA256:
- 70390e1e6183e407168a2cf5b74ce34dc49a16698bbd2f22dae76ea9497d1960
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