Instructions to use HanzoHuang/MiniCPM4-0.5B-RKLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use HanzoHuang/MiniCPM4-0.5B-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
| 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. | |