Instructions to use HanzoHuang/Qwen3-4B-RKLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use HanzoHuang/Qwen3-4B-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
|
Download README.md from HanzoHuang/Qwen3-4B-RKLLM: direct link, hf CLI and curl.
- Browser
- Download file 2.05 kB
-
https://huggingface.co/HanzoHuang/Qwen3-4B-RKLLM/resolve/main/README.md
- Command line
-
hf download hf://HanzoHuang/Qwen3-4B-RKLLM/README.md
-
curl -L -o README.md https://huggingface.co/HanzoHuang/Qwen3-4B-RKLLM/resolve/main/README.md
2.05 kB
| license: apache-2.0 | |
| base_model: Qwen/Qwen3-4B | |
| pipeline_tag: text-generation | |
| library_name: rkllm | |
| tags: | |
| - rkllm | |
| - rockchip | |
| - rk3576 | |
| - rk3588 | |
| - qwen | |
| - qwen3 | |
| # Qwen3-4B-RKLLM | |
| RKLLM-converted Qwen3-4B 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/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) | |
| - License: Apache-2.0 | |
| - Model type: LLM (text only) | |
| ## Conversion and variants | |
| ### Toolkit version | |
| **RKLLM Toolkit: v1.2.3** | |
| Use a file built for the exact target SoC. | |
| | Target | Quantization | File | SHA256 | | |
| | --- | --- | --- | --- | | |
| | RK3576 | W4A16 | [Qwen3-4B_RK3576_w4a16.rkllm](RK3576/Qwen3-4B_RK3576_w4a16.rkllm) | `07b25e01a16b50c0f76c777826aea602e485395a77df4c62428cf9fa532f509e` | | |
| | RK3576 | W4A16 (g128) | [Qwen3-4B_RK3576_w4a16_g128.rkllm](RK3576/Qwen3-4B_RK3576_w4a16_g128.rkllm) | `66b8dbc941a7fc9864583082013a2d765be9839f19e98763abfd5ec2bca166a2` | | |
| | RK3576 | W8A8 | [Qwen3-4B_RK3576_w8a8.rkllm](RK3576/Qwen3-4B_RK3576_w8a8.rkllm) | `7f40a9c638360b1ce51dc03d2fe5005c4ded9804d13304de3c52244634e7ed26` | | |
| | RK3588 | W8A8 | [Qwen3-4B_RK3588_w8a8.rkllm](RK3588/Qwen3-4B_RK3588_w8a8.rkllm) | `6f53a7b5ec8430f95a9fb6e6279e8a4744c9952d8ec59c4a7303b92ebc8b50d5` | | |
| The repository also includes `Qwen3-4B_data_quant.json`, used as calibration data during conversion. | |
| ## Usage | |
| ```bash | |
| hf download HanzoHuang/Qwen3-4B-RKLLM \ | |
| RK3576/Qwen3-4B_RK3576_w4a16_g128.rkllm \ | |
| --local-dir Qwen3-4B-RKLLM | |
| ``` | |
| Use the Qwen3 chat template with the RKLLM runtime. For Docker deployment, see [Hanzo-Huang/rkllm-docker](https://github.com/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. | |