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license: apache-2.0
base_model: openbmb/MiniCPM4-0.5B
pipeline_tag: text-generation
library_name: rkllm
tags:
- rkllm
- rockchip
- rk3576
- rk3588
- minicpm4
---
# MiniCPM4-0.5B-RKLLM
RKLLM-converted MiniCPM4-0.5B language-model artifacts for Rockchip RK3576 and RK3588 NPUs.
These files are hardware-specific `.rkllm` binaries. They are not Transformers checkpoints and require a compatible Rockchip RKLLM runtime; they cannot be loaded directly with Transformers, llama.cpp, or Ollama.
## Base model
- Upstream model: [openbmb/MiniCPM4-0.5B](https://huggingface.co/openbmb/MiniCPM4-0.5B)
- 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) | [MiniCPM4-0.5B_RK3576_w4a16_g128.rkllm](RK3576/MiniCPM4-0.5B_RK3576_w4a16_g128.rkllm) | `34060c78f36ee6ac2a772d5353d32d700fe940ea48564f083b8665a85fdc499c` |
| RK3576 | W8A8 | [MiniCPM4-0.5B_RK3576_w8a8.rkllm](RK3576/MiniCPM4-0.5B_RK3576_w8a8.rkllm) | `10f2bfa298b5a79077fc52f339ead0446e9e834632226a8bfcc3d003d42a0ba8` |
| RK3588 | W8A8 | [MiniCPM4-0.5B_RK3588_w8a8.rkllm](RK3588/MiniCPM4-0.5B_RK3588_w8a8.rkllm) | `fef1e215dfa69391d2c5da53eb918020419a71e6b3539d9ef91d56d956b602ea` |
The repository also includes `MiniCPM4-0.5B_data_quant.json`, used as calibration data during conversion.
## Usage
Download a matching artifact with the [Hugging Face CLI](https://huggingface.co/docs/huggingface_hub/guides/cli):
```bash
hf download HanzoHuang/MiniCPM4-0.5B-RKLLM \
RK3576/MiniCPM4-0.5B_RK3576_w4a16_g128.rkllm \
--local-dir MiniCPM4-0.5B-RKLLM
```
Run it with the RKLLM runtime and the upstream MiniCPM4 chat template. For a Docker deployment, see [Hanzo-Huang/rkllm-docker](https://github.com/Hanzo-Huang/rkllm-docker).
## Limitations
Conversion can change output quality relative to the upstream model. Runtime, driver, memory, and toolkit compatibility depend on the Rockchip software stack installed on the device.
## Acknowledgements
Thanks to OpenBMB, Rockchip, and the RKLLM community.
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