Instructions to use Prince-1/Qwen3-1.7B-RKllm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use Prince-1/Qwen3-1.7B-RKllm with RKLLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Prince-1/Qwen3-1.7B-RKllm 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 Prince-1/Qwen3-1.7B-RKllm 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 Prince-1/Qwen3-1.7B-RKllm to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Prince-1/Qwen3-1.7B-RKllm to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Prince-1/Qwen3-1.7B-RKllm", max_seq_length=2048, )
- Xet hash:
- 012a6cfb339636e0254972d44a0f900372ec4bce64efa59395fdfee1154d94a7
- Size of remote file:
- 4.09 GB
- SHA256:
- b7578e0dd28a55edc2b27beb0a250b730d4de7e7d254e726f8976aee0432a905
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