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-00003.bin from BAAI/AquilaChat-7B: direct link, hf CLI and curl.
- Browser
- Download file 9.94 GB
-
https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/pytorch_model-00001-of-00003.bin
- Command line
-
hf download hf://BAAI/AquilaChat-7B/pytorch_model-00001-of-00003.bin
-
curl -L -o pytorch_model-00001-of-00003.bin https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/pytorch_model-00001-of-00003.bin
9.94 GB
- Xet hash:
- ddd94e03d4ba3f174b167cbbd6aa0d4051b24e27e49bef0a6fa21195fb1a9fa9
- Size of remote file:
- 9.94 GB
- SHA256:
- a1ed070b50adba8106499018d3e48de1e5d542e7293fdc310db335e823e08a6e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.