Instructions to use SkunkworksAI/Mistralic-7B-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkunkworksAI/Mistralic-7B-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SkunkworksAI/Mistralic-7B-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00001-of-00002.bin from SkunkworksAI/Mistralic-7B-1: direct link, hf CLI and curl.
- Browser
- Download file 9.94 GB
-
https://huggingface.co/SkunkworksAI/Mistralic-7B-1/resolve/main/pytorch_model-00001-of-00002.bin
- Command line
-
hf download hf://SkunkworksAI/Mistralic-7B-1/pytorch_model-00001-of-00002.bin
-
curl -L -o pytorch_model-00001-of-00002.bin https://huggingface.co/SkunkworksAI/Mistralic-7B-1/resolve/main/pytorch_model-00001-of-00002.bin
9.94 GB
- Xet hash:
- 1315b0a14e39016cf9d7315baa33b33a6792e179798860365c69dccf14fe3da6
- Size of remote file:
- 9.94 GB
- SHA256:
- ea284a24a4d42047bc5b0a99840420497496eff7d9af6c76b8020c9aac3b3ac4
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