| --- |
| license: apache-2.0 |
| base_model: Qwen/Qwen2-0.5B-Instruct |
| pipeline_tag: text-generation |
| library_name: rkllm |
| tags: |
| - rkllm |
| - rockchip |
| - rk3576 |
| - rk3588 |
| - qwen |
| - qwen2 |
| --- |
| |
| # Qwen2-0.5B-Instruct-RKLLM |
|
|
| RKLLM-converted Qwen2-0.5B-Instruct 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/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) |
| - 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 (g128) | [Qwen2-0.5B-Instruct_RK3576_w4a16_g128.rkllm](RK3576/Qwen2-0.5B-Instruct_RK3576_w4a16_g128.rkllm) | `a166cdcff5d8a2e33423d01d8bac6f7a6ad1e1130fbd0bfefdb8b69082113e87` | |
| | RK3576 | W8A8 | [Qwen2-0.5B-Instruct_RK3576_w8a8.rkllm](RK3576/Qwen2-0.5B-Instruct_RK3576_w8a8.rkllm) | `cdccb51e23131352823af8becf9ac4acb15cb30f0f961e89d16cb0fabd003414` | |
| | RK3588 | W8A8 | [Qwen2-0.5B-Instruct_RK3588_w8a8.rkllm](RK3588/Qwen2-0.5B-Instruct_RK3588_w8a8.rkllm) | `24e99eeea1512d6e7f3f120f3344a510933301dfcb72bd64b24a9724ab48e1d8` | |
|
|
| The repository also includes `Qwen2-0.5B-Instruct_data_quant.json`, used as calibration data during conversion. |
|
|
| ## Usage |
|
|
| ```bash |
| hf download HanzoHuang/Qwen2-0.5B-Instruct-RKLLM \ |
| RK3576/Qwen2-0.5B-Instruct_RK3576_w4a16_g128.rkllm \ |
| --local-dir Qwen2-0.5B-Instruct-RKLLM |
| ``` |
|
|
| Use the Qwen2 Instruct 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 and runtime compatibility on your Rockchip device. |
|
|
| ## Acknowledgements |
|
|
| Thanks to the Qwen Team, Rockchip, and the RKLLM community. |
|
|
