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
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	`a166cdcff5d8a2e33423d01d8bac6f7a6ad1e1130fbd0bfefdb8b69082113e87`
RK3576	W8A8	Qwen2-0.5B-Instruct_RK3576_w8a8.rkllm	`cdccb51e23131352823af8becf9ac4acb15cb30f0f961e89d16cb0fabd003414`
RK3588	W8A8	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.

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.