Instructions to use BAAI/AquilaChat-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/AquilaChat-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BAAI/AquilaChat-7B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00001-of-00002.bin from BAAI/AquilaChat-7B: direct link, hf CLI and curl.
- Browser
- Download file 9.95 GB
-
https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/pytorch_model-00001-of-00002.bin
- Command line
-
hf download hf://BAAI/AquilaChat-7B/pytorch_model-00001-of-00002.bin
-
curl -L -o pytorch_model-00001-of-00002.bin https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/pytorch_model-00001-of-00002.bin
9.95 GB
- Xet hash:
- 3edebed5a40a60b4ea9232fdb459acbdaf570286cf98a71fb1f5ff506dfb2ab8
- Size of remote file:
- 9.95 GB
- SHA256:
- 5150077620d19dfa8764dc9985d9942501524cbf9d7518ee6f632264dc27c7a1
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