Instructions to use r1208/Llama-3-Open-Ko-8B-Instruct-preview_8bit_64r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use r1208/Llama-3-Open-Ko-8B-Instruct-preview_8bit_64r with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("r1208/Llama-3-Open-Ko-8B-Instruct-preview_8bit_64r", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from r1208/Llama-3-Open-Ko-8B-Instruct-preview_8bit_64r: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/r1208/Llama-3-Open-Ko-8B-Instruct-preview_8bit_64r/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://r1208/Llama-3-Open-Ko-8B-Instruct-preview_8bit_64r/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/r1208/Llama-3-Open-Ko-8B-Instruct-preview_8bit_64r/resolve/main/adapter_model.safetensors
671 MB
- Xet hash:
- a358a4274439d25e2c09bd534c356173728dfab7e564ab8009d23bee07d8d43e
- Size of remote file:
- 671 MB
- SHA256:
- d672966e0f5cd498a5fad9d504fb1b7cf7230968339491768063156e03714a3f
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