Instructions to use yeok/Llama-3.2-3B-Instruct-Faithful-arb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeok/Llama-3.2-3B-Instruct-Faithful-arb with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yeok/Llama-3.2-3B-Instruct-Faithful-arb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use yeok/Llama-3.2-3B-Instruct-Faithful-arb with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for yeok/Llama-3.2-3B-Instruct-Faithful-arb to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for yeok/Llama-3.2-3B-Instruct-Faithful-arb to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for yeok/Llama-3.2-3B-Instruct-Faithful-arb to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="yeok/Llama-3.2-3B-Instruct-Faithful-arb", max_seq_length=2048, )
- Xet hash:
- c7aeb2cb62cc02cd855569e4315d95a818900dc3fcca02e7be1e4784418c0b88
- Size of remote file:
- 389 MB
- SHA256:
- c020e1f42faf7e27e4e2dacdd943e4174d2cca0cd37bb2d047d799d0b70b43f2
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