Instructions to use HanzoHuang/Llama-3.2-1B-Instruct-RKLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use HanzoHuang/Llama-3.2-1B-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
| license: llama3.2 | |
| base_model: meta-llama/Llama-3.2-1B-Instruct | |
| pipeline_tag: text-generation | |
| library_name: rkllm | |
| tags: | |
| - rkllm | |
| - rockchip | |
| - rk3576 | |
| - rk3588 | |
| - llama | |
| - llama-3.2 | |
| # Llama-3.2-1B-Instruct-RKLLM | |
| RKLLM-converted Llama 3.2 1B 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: [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) | |
| - License: Llama 3.2 Community License | |
| - Model type: LLM (text only) | |
| The upstream model is gated. Review Meta's license and acceptable-use policy before use or redistribution. | |
| ## 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) | [Llama-3.2-1B-Instruct_RK3576_w4a16_g128.rkllm](RK3576/Llama-3.2-1B-Instruct_RK3576_w4a16_g128.rkllm) | `bd6cbbf84e90b63d451e672a542858a5a6aa15ad2b45f83e1b5dbcd944ac3018` | | |
| | RK3576 | W8A8 | [Llama-3.2-1B-Instruct_RK3576_w8a8.rkllm](RK3576/Llama-3.2-1B-Instruct_RK3576_w8a8.rkllm) | `9c4d103f7c486740ba75605c61a51b80d170df067645360ffad8464b50c764df` | | |
| | RK3588 | W8A8 | [Llama-3.2-1B-Instruct_RK3588_w8a8.rkllm](RK3588/Llama-3.2-1B-Instruct_RK3588_w8a8.rkllm) | `4403aec1c018c7ebf29c95730336e848aff8824e3be3bd6be7db44b4a4973bad` | | |
| The repository also includes `Llama-3.2-1B-Instruct_data_quant.json`, used as calibration data during conversion. | |
| ## Usage | |
| ```bash | |
| hf download HanzoHuang/Llama-3.2-1B-Instruct-RKLLM \ | |
| RK3576/Llama-3.2-1B-Instruct_RK3576_w4a16_g128.rkllm \ | |
| --local-dir Llama-3.2-1B-Instruct-RKLLM | |
| ``` | |
| Use the Llama 3.2 Instruct chat template with the RKLLM runtime. For Docker deployment, see [Hanzo-Huang/rkllm-docker](https://github.com/Hanzo-Huang/rkllm-docker). | |
| ## Limitations | |
| These are target-specific converted artifacts. Validate quality, memory use, and runtime compatibility on your own Rockchip device. | |
| ## Acknowledgements | |
| Thanks to Meta, Rockchip, and the RKLLM community. | |