Instructions to use AdapterHub/llama2-7b-qlora-openassistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use AdapterHub/llama2-7b-qlora-openassistant with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("meta-llama/Llama-2-7b-hf") model.load_adapter("AdapterHub/llama2-7b-qlora-openassistant", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_head.bin from AdapterHub/llama2-7b-qlora-openassistant: direct link, hf CLI and curl.
- Browser
- Download file 262 MB
-
https://huggingface.co/AdapterHub/llama2-7b-qlora-openassistant/resolve/main/pytorch_model_head.bin
- Command line
-
hf download hf://AdapterHub/llama2-7b-qlora-openassistant/pytorch_model_head.bin
-
curl -L -o pytorch_model_head.bin https://huggingface.co/AdapterHub/llama2-7b-qlora-openassistant/resolve/main/pytorch_model_head.bin
262 MB
- Xet hash:
- e7df5fe7db685af85c193d9f0a726061efb609ba644042acd158e5de90217db6
- Size of remote file:
- 262 MB
- SHA256:
- 5c9ee5a61b2365fec20b5e7b3a2cace257479506d2662810467066df826f2a02
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