This repository hosts a conversion of gemma-3-1b-it for use on Rockchip RK3588 single-board computers (Orange Pi 5 plus, Radxa Rock 5b+, Banana Pi M7, etc.). Conversion was performed using the RKNN-LLM toolkit

Conversion details

RKLLM-Toolkit version: v1.2.1
NPU driver: v0.9.8
Python: 3.10
Quantization: w8a8_g128
Output: single-file .rkllm artifact
Modifications: quantization (w8a8_g128), export to .rkllm format for RK3588 SBCs
Tokenizer: not required at runtime (UI handles prompt I/O)

Intended use

On-device chat and instruction following on RK3588 SBCs.
gemma-3-1b-it is tuned for general conversational tasks, Q&A, and reasoning, making it suitable for edge inference deployments where low power and privacy matter.

Limitations

Requires 1.5GB free memory
Quantized build (w8a8_g128) may show small quality differences vs. full-precision upstream.
Tested on a Radxa Rock 5B+; other devices may require different drivers/toolkit versions.

Quick start (RK3588)

1) Install runtime

The RKNN-LLM toolkit and instructions can be found on the specific development board's manufacturer website or from airockchip's github page.

Download and install the required packages as per the toolkit's instructions.

2) Simple Flask server deployment

The simplest way the deploy the .rkllm converted model is using an example script provided in the toolkit in this directory: rknn-llm/examples/rkllm_server_demo

bash

python3 <TOOLKIT_PATH>/rknn-llm/examples/rkllm_server_demo/flask_server.py \
  --rkllm_model_path <MODEL_PATH>/gemma-3-1b-it_w8a8_g128_rk3588.rkllm \
  --target_platform rk3588

3) Sending a request

A basic format for message request is:

json

{
    "model":"gemma-3-1b-it",
    "messages":[{
        "role":"user",
        "content":"<YOUR_PROMPT_HERE>"}],
    "stream":false
}

Example request using curl:

bash

curl -s -X POST <SERVER_IP_ADDRESS>:8080/rkllm_chat \
    -H 'Content-Type: application/json' \
    -d '{"model":"gemma-3-1b-it","messages":[{"role":"user","content":"Explain who Napoleon Bonaparte is in two or three sentences."}],"stream":false}'

The response is formated in the following way:

json

{
    "choices":[{
        "finish_reason":"stop",
        "index":0,
        "logprobs":null,
        "message":{
            "content":"<MODEL_REPLY_HERE">,
            "role":"assistant"}}],
        "created":null,
        "id":"rkllm_chat",
        "object":"rkllm_chat",
        "usage":{
            "completion_tokens":null,
            "prompt_tokens":null,
            "total_tokens":null}
}

Example response:

{"choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"Napoleon Bonaparte was a brilliant military leader and the Emperor of France, rising to power during the late 1790s and dominating Europe throughout much of the early 1800s. He rose from humble beginnings to become one of history's most iconic figures, known for his strategic genius and ambition, though also infamous for his role in the Napoleonic Wars which ultimately led to his downfall and exile.","role":"assistant"}}],"created":null,"id":"rkllm_chat","object":"rkllm_chat","usage":{"completion_tokens":null,"prompt_tokens":null,"total_tokens":null}}

4) UI compatibility

This server exposes an OpenAI-compatible Chat Completions API.

You can connect it to any OpenAI-compatible client or UI (for example: Open WebUI)

Configure your client with the API base: http://<SERVER_IP_ADDRESS>:8080 and use the endpoint: /rkllm_chat
Make sure the model field matches the converted model’s name, for example:

json

{
 "model": "gemma-3-1b-it",
 "messages": [{"role":"user","content":"Hello!"}],
 "stream": false
}

⚠️ Safety disclaimer

🛑 Not a substitute for professional advice, diagnosis, or treatment.
Intended for research and educational purposes only.
Do not rely on outputs for decisions related to health, safety, or legal/financial matters.
Always consult a qualified professional for real-world guidance.
Follow Google’s Prohibited Use Policy

License

This conversion follows the license of the source model:
Gemma Terms of Use

-Required notice: see NOTICE

jamescallander/gemma-3-1b-it_w8a8_g128_rk3588.rkllm

gemma-3-1b-it — RKLLM build for RK3588 boards

Built with Gemma 3

Conversion details

Intended use

Limitations

Quick start (RK3588)

1) Install runtime

2) Simple Flask server deployment

3) Sending a request

4) UI compatibility

⚠️ Safety disclaimer

License

jamescallander/
gemma-3-1b-it_w8a8_g128_rk3588.rkllm