---
library_name: rkllm
pipeline_tag: text-generation
license: apache-2.0
base_model:
- Qwen/Qwen2.5-Math-1.5B-Instruct
language:
- en
tags:
- rkllm
- rk3588
- rockchip
- edge-ai
- llm
- math
- chat
---
# Qwen2.5-Math-1.5B-Instruct — RKLLM build for RK3588 boards

### Built with Qwen

**Author:** @jamescallander  
**Source model:** [Qwen/Qwen2.5-Math-1.5B-Instruct · Hugging Face](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B-Instruct)

**Target:** Rockchip RK3588 NPU via RKNN-LLM Runtime

> This repository hosts a **conversion** of `Qwen2.5-Math-1.5B-Instruct` 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](https://github.com/airockchip/rknn-llm?utm_source=chatgpt.com)

#### Conversion details

- RKLLM-Toolkit version: v1.2.1
- NPU driver: v0.9.8
- Python: 3.12
- Quantization: `w8a8_g128`
- Output: single-file `.rkllm` artifact
- Tokenizer: not required at runtime (UI handles prompt I/O)

## ⚠️ Math reasoning disclaimer

🛑 **This model may make calculation or reasoning errors.**

- It is intended for **educational and experimental purposes only**.  
- Always **double-check results** with trusted methods, calculators, or domain experts.  
- Outputs should not be used as the sole basis for academic, financial, or scientific decisions.  
- Use responsibly and verify correctness before relying on results.

## Intended use

- On-device math reasoning and step-by-step problem solving.
- Qwen2.5-Math-1.5B-Instruct is a compact model instruction-tuned for **mathematics** — suitable for solving equations, working through proofs, or assisting with quantitative coursework on SBCs.

## Limitations

- Requires 2GB free memory
- Quantized build (`w8a8_g128`) may show small quality differences vs. full-precision upstream.
- Tested on Orange Pi 5 Plus / 5 Max and Radxa Rock 5B+; other devices may require different drivers/toolkit versions.
- Generated code should always be reviewed before use in production systems.

## 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](https://github.com/airockchip).

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>/Qwen2.5-Math-1.5B-Instruct_w8a8_g128_rk3588.rkllm \
  --target_platform rk3588
```

### 3) Sending a request

A basic format for message request is:

```json
{
    "model":"Qwen2.5-Math-1.5B",
    "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":"Qwen2.5-Math-1.5B-Instruct","messages":[{"role":"user","content":"Tell me how to solve a quadratic equation."}],"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:

```json
{"choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"To find the area of a circle, we use the formula:\n\n\\[\nA = \\pi r^2\n\\]\n\nwhere \\( A \\) is the area and \\( r \\) is the radius of the circle. In this problem, the radius \\( r \\) is given as 5. Substituting the value of the radius into the formula, we get:\n\n\\[\nA = \\pi (5)^2\n\\]\n\nNext, we calculate \\( 5^2 \\):\n\n\\[\n5^2 = 25\n\\]\n\nSo the area becomes:\n\n\\[\nA = \\pi \\times 25 = 25\\pi\n\\]\n\nTherefore, the area of the circle is:\n\n\\[\n\\boxed{25\\pi}\n\\]","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](https://github.com/open-webui/open-webui?utm_source=chatgpt.com))
- 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": "Qwen2.5-Math-1.5B-Instruct",
 "messages": [{"role":"user","content":"Hello!"}],
 "stream": false
}
```

# License

This conversion follows the license of the source model: [LICENSE · Qwen/Qwen2.5-Math-1.5B-Instruct at main