Instructions to use unsloth/Qwen3-1.7B-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use unsloth/Qwen3-1.7B-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/Qwen3-1.7B-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/Qwen3-1.7B-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/Qwen3-1.7B-bnb-4bit to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="unsloth/Qwen3-1.7B-bnb-4bit", max_seq_length=2048, )
- Xet hash:
- c9287a599fbe5d2ff45c7c6c8eabe62dae1961e2e029d8d8430f3842bf8c5e8a
- Size of remote file:
- 1.35 GB
- SHA256:
- bb2bb20d77a5dec34d2289a0de99df5f51c8c80ebedb3b4153e2da660bebea7a
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