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
- 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
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.
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# 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