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-00002-of-00002.bin from SkunkworksAI/Mistralic-7B-1: direct link, hf CLI and curl.
- Browser
- Download file 4.54 GB
-
https://huggingface.co/SkunkworksAI/Mistralic-7B-1/resolve/main/pytorch_model-00002-of-00002.bin
- Command line
-
hf download hf://SkunkworksAI/Mistralic-7B-1/pytorch_model-00002-of-00002.bin
-
curl -L -o pytorch_model-00002-of-00002.bin https://huggingface.co/SkunkworksAI/Mistralic-7B-1/resolve/main/pytorch_model-00002-of-00002.bin
4.54 GB
- Xet hash:
- fdffdc5c4b796e1138b2d618927355c7cd1dbf6adf962c47626befe6b6ec33bc
- Size of remote file:
- 4.54 GB
- SHA256:
- ff85db3904cf639607677c3b225fc6a687ae4b4c72cae68063ae86c28dac7115
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