Instructions to use bjmm/mistral-7b-instruct-v0.2-bnb-4bit-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bjmm/mistral-7b-instruct-v0.2-bnb-4bit-ft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bjmm/mistral-7b-instruct-v0.2-bnb-4bit-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 1a3b588e53862f71d931b30822f51f2d71796d7f074997bea065b54f1b8dda35
- Size of remote file:
- 168 MB
- SHA256:
- 227ef8ff9756c4f73138ce662f95dfc58162ea8c4afcae813110ebc71a509e68
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