gemma-3-4b-it-RKLLM

RKLLM-converted Gemma 3 4B IT language-model artifacts for Rockchip RK3576 and RK3588 NPUs.

Important: the upstream google/gemma-3-4b-it model is multimodal/VLM-capable, but this repository contains only RKLLM language-model binaries. The converted model exposed here is LLM-only: it does not accept images and does not include an RKNN vision encoder.

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: google/gemma-3-4b-it
• License: Gemma Terms of Use
• Upstream type: VLM/multimodal
• RKLLM type: LLM-only

Review Google's Gemma terms before use or redistribution.

Conversion and variants

Toolkit version

RKLLM Toolkit: v1.2.3

Use a file built for the exact target SoC.

Target	Quantization	File	SHA256
RK3576	W4A16	gemma-3-4b-it_RK3576_w4a16.rkllm	0e6d6298453f483e832a7982bcdf1acdf895a47c6777e93eb3c1e43e82cf8fc2
RK3576	W8A8	gemma-3-4b-it_RK3576_w8a8.rkllm	b077e9ee75f837230dbf1be948a03d39942abd90ab23343399fa13b7d19526cf
RK3588	W8A8	gemma-3-4b-it_RK3588_w8a8.rkllm	aa04fce6ca2e418cd946814f1563fe8ed7e56dfbf5cf99ced4e753739287ee80

The repository also includes gemma-3-4b-it_data_quant.json, used as calibration data during conversion.

Usage

hf download HanzoHuang/gemma-3-4b-it-RKLLM \
  RK3576/gemma-3-4b-it_RK3576_w4a16.rkllm \
  --local-dir gemma-3-4b-it-RKLLM

Run the file with the RKLLM runtime and the upstream Gemma instruction prompt format. For Docker deployment, see Hanzo-Huang/rkllm-docker.

Limitations

Vision input is not supported by these artifacts. Conversion can change output quality relative to the upstream model; validate the result on your target device.

Acknowledgements

Thanks to Google, Rockchip, and the RKLLM community.