Instructions to use unsloth/Mistral-Small-Instruct-2409 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 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 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 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 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", max_seq_length=2048, )
- Xet hash:
- 316e32c47fe4b5738bc7271ed138e551e9e38283334361933c6a1a5dc5353dbb
- Size of remote file:
- 4.88 GB
- SHA256:
- 442134a620527f329fc809f85492fabc7dd4f067e645f25df5056056d30828d3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.