README.md

---
license: apache-2.0
base_model: Qwen/Qwen3.5-2B
pipeline_tag: image-text-to-text
library_name: rkllm
tags:
- rkllm
- rockchip
- rk3576
- rk3588
- qwen
- qwen3.5
- multimodal
---

# Qwen3.5-2B · RKLLM

* Max context length: 4096

Image and text on Rockchip RK3576 and RK3588, converted from [Qwen/Qwen3.5-2B](https://huggingface.co/Qwen/Qwen3.5-2B).

- **Conversion toolkit:** RKLLM Toolkit 1.3.0.
- **Inputs / output:** text or image + text → text.
- **License:** `apache-2.0`; the [upstream model card](https://huggingface.co/Qwen/Qwen3.5-2B) describes its terms and intended use.

## Choose your files

Use the files for your board’s exact SoC. `w4a16` uses 4-bit weights and 16-bit activations; `w4a16_g128` adds a weight group size of 128. `w8a8` uses 8-bit weights and activations. File size below is download size, not total runtime RAM.

| Board | Quantization | Size | Language model |
| --- | --- | --- | --- |
| RK3576 | `w4a16_g128` | 2.21 GiB | [Qwen3.5-2B_RK3576_w4a16_g128.rkllm](RK3576/Qwen3.5-2B_RK3576_w4a16_g128.rkllm) |
| RK3576 | `w8a8` | 2.76 GiB | [Qwen3.5-2B_RK3576_w8a8.rkllm](RK3576/Qwen3.5-2B_RK3576_w8a8.rkllm) |
| RK3588 | `w8a8` | 2.74 GiB | [Qwen3.5-2B_RK3588_w8a8.rkllm](RK3588/Qwen3.5-2B_RK3588_w8a8.rkllm) |

For image input, also download the **vision encoder for the same SoC**. Keep the language model and vision encoder from this release together.

| Board | Size | Vision encoder |
| --- | --- | --- |
| RK3576 | 0.67 GiB | [Qwen3.5-2B_vision_RK3576.rknn](RK3576/Qwen3.5-2B_vision_RK3576.rknn) |
| RK3588 | 0.65 GiB | [Qwen3.5-2B_vision_RK3588.rknn](RK3588/Qwen3.5-2B_vision_RK3588.rknn) |

ONNX files are export intermediates; they are not needed to run these RKNN/RKLLM models.

## Run on your board

With Docker installed on a matching Rockchip board, this example starts the **RK3576 w4a16_g128** model and its API on port 8001:

```bash
sudo docker run --rm -d --name rkllm \
  --privileged -v /dev:/dev -p 8001:8001 \
  ghcr.io/hanzo-huang/rkllm-docker/vlm/qwen3.5-2b:rk3576-w4a16-g128
```

The image includes its model files. See [rkllm-docker](https://github.com/Hanzo-Huang/rkllm-docker#readme) for API requests, image inputs, other board variants, and configuration.

To download the files separately instead:

```bash
hf download HanzoHuang/Qwen3.5-2B-RKLLM \
  RK3576/Qwen3.5-2B_RK3576_w4a16_g128.rkllm \
  RK3576/Qwen3.5-2B_vision_RK3576.rknn \
  --local-dir ./models
```

These are native RKLLM/RKNN artifacts. Use a compatible RKLLM runtime and the model’s correct chat template when integrating them in another application.

## Release notes

No per-variant board benchmark is published here. Quantized output may differ from the original model; check responses on your own workloads. Use the toolkit version listed above when checking runtime compatibility.

<details>
<summary>SHA-256 checksums</summary>

```text
76f40bbbc559615767e49a9408d28a1afc16c3a12aa3764a11e13f52acd868e9  RK3576/Qwen3.5-2B_RK3576_w4a16_g128.rkllm
95f4c10bf5d8880a4697c9c4e06508559930a9e379c4b154012daa94018ce8ae  RK3576/Qwen3.5-2B_RK3576_w8a8.rkllm
946daf4377bbf5913d8d5226180991b8e6b4a3068d8b5959bdc81a9492311a09  RK3588/Qwen3.5-2B_RK3588_w8a8.rkllm
c752c9ddec5ad0415cff7d5b2cd645c00273d7f75cfb034182126309911c051b  RK3576/Qwen3.5-2B_vision_RK3576.rknn
9077bfd3f4a0a3846af7fd1609175aaaba07858d00acdc31459ae9f2dc66716a  RK3588/Qwen3.5-2B_vision_RK3588.rknn
```

</details>

## Credits

Original model: [Qwen/Qwen3.5-2B](https://huggingface.co/Qwen/Qwen3.5-2B). Conversion tools: [Rockchip RKLLM](https://github.com/airockchip/rknn-llm).