Instructions to use unsloth/Mistral-Small-Instruct-2409-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use unsloth/Mistral-Small-Instruct-2409-bnb-4bit with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for unsloth/Mistral-Small-Instruct-2409-bnb-4bit to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for unsloth/Mistral-Small-Instruct-2409-bnb-4bit to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for unsloth/Mistral-Small-Instruct-2409-bnb-4bit to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="unsloth/Mistral-Small-Instruct-2409-bnb-4bit", max_seq_length=2048, )
- Xet hash:
- 201a1dfc3622f89986064b276262625f382f7c7c0a7b7f873edf5e019379b5eb
- Size of remote file:
- 4.98 GB
- SHA256:
- 6791f5ba8e4dce4fab5f2b5b9dc62ca66f468b0d4c7dea7cc865af7623b464c2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.