Instructions to use jinxsuperdev/gwen1.0-code-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use jinxsuperdev/gwen1.0-code-mini 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 jinxsuperdev/gwen1.0-code-mini 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 jinxsuperdev/gwen1.0-code-mini to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for jinxsuperdev/gwen1.0-code-mini to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="jinxsuperdev/gwen1.0-code-mini", max_seq_length=2048, )
- Xet hash:
- f6907f2f6cf90a4bb7bce8a4eeb4ffe2a01da22547fa50fc1d0fb3be5c87f3c0
- Size of remote file:
- 3.44 GB
- SHA256:
- 64469c3bbad8e12b4cea23312dfe1f7d9cc14caf23eb63b037cc3e2f7c8686ae
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