Instructions to use unsloth/Mistral-Medium-3.5-128B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use unsloth/Mistral-Medium-3.5-128B 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-Medium-3.5-128B 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-Medium-3.5-128B 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-Medium-3.5-128B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="unsloth/Mistral-Medium-3.5-128B", max_seq_length=2048, )
File size: 131 Bytes
18767fd | 1 2 3 4 5 6 7 8 | {
"bos_token_id": 1,
"eos_token_id": 2,
"max_length": 262144,
"pad_token_id": 11,
"transformers_version": "5.6.0.dev0"
}
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