Instructions to use HanzoHuang/Qwen3-1.7B-RKLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use HanzoHuang/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
Qwen3-1.7B-RKLLM
RKLLM-converted Qwen3-1.7B language-model artifacts for Rockchip RK3576 and RK3588 NPUs.
These hardware-specific .rkllm files require a compatible Rockchip RKLLM runtime. They are not Transformers checkpoints and cannot be loaded directly with Transformers, llama.cpp, or Ollama.
Base model
- Upstream model: Qwen/Qwen3-1.7B
- License: Apache-2.0
- Model type: LLM (text only)
Conversion and variants
Toolkit version
RKLLM Toolkit: v1.3.0
Use a file built for the exact target SoC.
| Target | Quantization | File | SHA256 |
|---|---|---|---|
| RK3576 | W4A16 | Qwen3-1.7B_RK3576_w4a16.rkllm | 9f5f2facdef5f1da27756524f0284b307d5e4cee45ae9d9c8a02b6e9d8888ce2 |
| RK3576 | W4A16 (g128) | Qwen3-1.7B_RK3576_w4a16_g128.rkllm | c72954ad5bd155aa49f89a86cb2133b79fafd502685d345973e26bb07a9c14a7 |
| RK3576 | W8A8 | Qwen3-1.7B_RK3576_w8a8.rkllm | 2d1c1ec4e50a9edb85b801f546d935943481e7671d3a73d19a2df9f18d4da2ca |
| RK3588 | W8A8 | Qwen3-1.7B_RK3588_w8a8.rkllm | 384294b54bf68b61590c4d818c33e27d67dbeced51fb9f1f93014f0ad06d2545 |
The repository also includes Qwen3-1.7B_data_quant.json, used as calibration data during conversion.
Usage
hf download HanzoHuang/Qwen3-1.7B-RKLLM \
RK3576/Qwen3-1.7B_RK3576_w4a16_g128.rkllm \
--local-dir Qwen3-1.7B-RKLLM
Use the Qwen3 chat template with the RKLLM runtime. For Docker deployment, see Hanzo-Huang/rkllm-docker.
Limitations
These are target-specific converted artifacts. Validate quality, memory use, and runtime compatibility on your own Rockchip device.
Acknowledgements
Thanks to the Qwen Team, Rockchip, and the RKLLM community.
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