Instructions to use HanzoHuang/Qwen2.5-3B-Instruct-RKLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use HanzoHuang/Qwen2.5-3B-Instruct-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
Qwen2.5-3B-Instruct-RKLLM
RKLLM-converted versions of Qwen2.5-3B-Instruct for Rockchip RK3576 and RK3588.
.rkllm files require the Rockchip RKLLM runtime and cannot be loaded directly with Transformers, llama.cpp, or Ollama.
Base Model
- Model: Qwen2.5-3B-Instruct
- Author: Alibaba Cloud Qwen Team
- Original Model: Qwen/Qwen2.5-3B-Instruct
- Original License: Qwen Research License
Refer to the upstream model card for the original modelβs capabilities and limitations.
Supported Platforms
| SoC | Quantization | Status |
|---|---|---|
| RK3576 | W4A16 | β Tested |
| RK3576 | W8A8 | β Tested |
| RK3588 | W8A8 | β Supported (not tested) |
RK3576 W4A16 and W8A8 have been tested. RK3588 W8A8 is supported as a target platform but has not been board-tested because no RK3588 board is available.
Conversion
- RKLLM Toolkit: 1.2.3
- Target Platforms: RK3576, RK3588
Available Variants
| File | Quantization |
|---|---|
| Qwen2.5-3B-Instruct_w4a16_RK3576.rkllm | W4A16 |
| Qwen2.5-3B-Instruct_w8a8_RK3576.rkllm | W8A8 |
| Qwen2.5-3B-Instruct_w8a8_RK3588.rkllm | W8A8 |
Repository Structure
.
βββ Qwen2.5-3B-Instruct_data_quant.json
βββ RK3576
β βββ Qwen2.5-3B-Instruct_w4a16_RK3576.rkllm
β βββ Qwen2.5-3B-Instruct_w8a8_RK3576.rkllm
βββ RK3588
βββ Qwen2.5-3B-Instruct_w8a8_RK3588.rkllm
Usage
Download the desired RKLLM model and deploy it with the RKLLM runtime on the matching Rockchip platform.
For faster deployment without setting up the environment manually, see Hanzo-Huang/rkllm-docker.
Docker Deployment
Use the model-specific image for the fastest RK3576 W4A16 deployment. The model is included in the image:
sudo docker run --rm -it \
--privileged \
-p 8001:8001 \
-v /dev:/dev \
ghcr.io/hanzo-huang/rkllm-docker/qwen2.5-3b-instruct:w4a16-rk3576
Alternatively, use the reusable environment image and mount a downloaded model:
sudo docker run --rm -it \
--privileged \
-p 8001:8001 \
-v /dev:/dev \
-v ./:/app/models:ro \
-e MODEL_PATH=/app/models/RK3576/Qwen2.5-3B-Instruct_w4a16_RK3576.rkllm \
-e TARGET_PLATFORM=rk3576 \
ghcr.io/hanzo-huang/rkllm-docker:env-latest
The second command requires downloading the selected .rkllm file first. Use the matching model variant and target platform.
License
The original Qwen2.5-3B-Instruct model is released under the Qwen Research License. Converted artifacts are derived from the original model and remain subject to the applicable upstream license terms.
Acknowledgements
Thanks to the Alibaba Cloud Qwen Team for releasing the original model and to Rockchip and RKLLM contributors for the deployment toolchain.
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