Llama-3.2-3B-Instruct-RKLLM

RKLLM-converted Llama 3.2 3B 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-3.2-3B-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-3.2-3B-Instruct_RK3576_w4a16_g128.rkllm	211ddffb27a2e429917639ce319a96fcc878b493433ebca3d0c28666a188750e
RK3576	W8A8	Llama-3.2-3B-Instruct_RK3576_w8a8.rkllm	117fa31e1f7d483d02513ddb073f1818b62ea48affc474f1e562e733179e50e9
RK3588	W8A8	Llama-3.2-3B-Instruct_RK3588_w8a8.rkllm	5373bb69394504fd7df55087a3431ccacb6af6df52781940ff11307ab409d535

The repository also includes Llama-3.2-3B-Instruct_data_quant.json, used as calibration data during conversion.

Usage

hf download HanzoHuang/Llama-3.2-3B-Instruct-RKLLM \
  RK3576/Llama-3.2-3B-Instruct_RK3576_w4a16_g128.rkllm \
  --local-dir Llama-3.2-3B-Instruct-RKLLM

Use the Llama 3.2 Instruct chat template with the RKLLM runtime. For Docker deployment, see 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.