Instructions to use causality-grammar/qwen3-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use causality-grammar/qwen3-1.7B 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 causality-grammar/qwen3-1.7B 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 causality-grammar/qwen3-1.7B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for causality-grammar/qwen3-1.7B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="causality-grammar/qwen3-1.7B", max_seq_length=2048, )
- Xet hash:
- 528d87ad01e0a101da67f9c78041f3d7ac4b9dfc6cba6e0140a17fec1b7d4f26
- Size of remote file:
- 11.4 MB
- SHA256:
- 0a5450b0b64cbe9d4c7eea45efbcb737e092af954fe89383ae9562a1fc3aad71
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.