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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
RKLLM/RKNN-converted Qwen3.5-2B multimodal artifacts for Rockchip RK3576 and RK3588 NPUs.
This is a VLM conversion: each supported platform requires both the `.rkllm` language model and the matching `.rknn` vision encoder. The pair must come from the same platform directory. These are hardware-specific artifacts, not Transformers checkpoints.
## Base model
- Upstream model: [Qwen/Qwen3.5-2B](https://huggingface.co/Qwen/Qwen3.5-2B)
- License: Apache-2.0
- Model type: VLM (vision-language model)
## Conversion and variants
### Toolkit version
**RKLLM Toolkit: v1.3.0** · **RKNN vision conversion: paired `.rknn` encoder**
Use a matching pair for the exact target SoC.
| Target | Quantization | RKLLM language model | RKLLM SHA256 | RKNN vision encoder | RKNN SHA256 |
| --- | --- | --- | --- | --- | --- |
| RK3576 | W4A16 (g128) | [Qwen3.5-2B_RK3576_w4a16_g128.rkllm](RK3576/Qwen3.5-2B_RK3576_w4a16_g128.rkllm) | `76f40bbbc559615767e49a9408d28a1afc16c3a12aa3764a11e13f52acd868e9` | [Qwen3.5-2B_vision_RK3576.rknn](RK3576/Qwen3.5-2B_vision_RK3576.rknn) | `c752c9ddec5ad0415cff7d5b2cd645c00273d7f75cfb034182126309911c051b` |
| RK3576 | W8A8 | [Qwen3.5-2B_RK3576_w8a8.rkllm](RK3576/Qwen3.5-2B_RK3576_w8a8.rkllm) | `95f4c10bf5d8880a4697c9c4e06508559930a9e379c4b154012daa94018ce8ae` | [Qwen3.5-2B_vision_RK3576.rknn](RK3576/Qwen3.5-2B_vision_RK3576.rknn) | `c752c9ddec5ad0415cff7d5b2cd645c00273d7f75cfb034182126309911c051b` |
| RK3588 | W8A8 | [Qwen3.5-2B_RK3588_w8a8.rkllm](RK3588/Qwen3.5-2B_RK3588_w8a8.rkllm) | `946daf4377bbf5913d8d5226180991b8e6b4a3068d8b5959bdc81a9492311a09` | [Qwen3.5-2B_vision_RK3588.rknn](RK3588/Qwen3.5-2B_vision_RK3588.rknn) | `9077bfd3f4a0a3846af7fd1609175aaaba07858d00acdc31459ae9f2dc66716a` |
The root `Qwen3.5-2B_vision.onnx` is the vision conversion input; use the platform-specific `.rknn` encoder for deployment.
## Usage
Download both files for the target platform:
```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 Qwen3.5-2B-RKLLM
```
Use them with the RKLLM VLM runtime. For a Docker API, see [Hanzo-Huang/rkllm-docker](https://github.com/Hanzo-Huang/rkllm-docker) and set `MODEL_KIND=vlm` with both model files.
## Limitations
The vision encoder and language model are SoC-specific and must be kept as a matching pair. Validate image preprocessing, memory use, and runtime compatibility on your device.
## Acknowledgements
Thanks to the Qwen Team, Rockchip, and the RKLLM/RKNN community.
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