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Qengineering/Qwen3.5-9B-rk3588
Qwen3.5-9B-rk3588 is a image-text-to-text model from Qengineering. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for rkllm.
This repository provides a hardware-accelerated port of Qwen3.5-9B optimized for Rockchip RK3588 NPU.
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From the Hugging Face model README
This repository provides a hardware-accelerated port of Qwen3.5-9B optimized for Rockchip RK3588 NPU.
<br>User:<image>Describe the image.<br><br>
Answer:The image depicts a humorous and surreal scene set on the surface of the Moon:
The overall tone is whimsical and satirical — imagining an astronaut enjoying a beer on the Moon, blending science fiction with everyday leisure culture. It’s likely meant to evoke humor rather than realism.
Note: This image is not scientifically accurate — no such beverage or relaxation would be possible in actual space due to lack of atmosphere, extreme temperatures, radiation, and microgravity effects. But as art, it’s fun! 🌕🍺
| Component | File | Precision |
|---|---|---|
| LLM | qwen3.5-9b_w8a8_rk3588.rkllm | W8A8 |
| Vision Encoder | qwen3.5-9b-vision_rk3588.rknn | FP16 |
All models, with C++ examples, can be found on the Q-engineering GitHub.<br><br> All LLM models are quantized to w8a8, while the VLM vision encoders use fp16.<br>
| model | RAM (GB)<sup>1</sup> | llm cold sec<sup>2</sup> | llm warm sec<sup>3</sup> | vlm cold sec<sup>2</sup> | vlm warm sec<sup>3</sup> | Resolution | Tokens/s |
|---|---|---|---|---|---|---|---|
| Qwen3.5-9B | 9.2 | 97.1 | 97.1 | 11.5 | 11.5 | 448 x 448 | 3.2 |
| Qwen3.5-4B | 5.4 | 52.8 | 6.2 | 8.5 | 0.9 | 448 x 448 | 5.2 |
| Qwen3.5-2B | 2.9 | 23.9 | 3.2 | 8.5 | 0.8 | 448 x 448 | 11.0 |
| Qwen3.5-0.8B | 1.3 | 10.6 | 1.9 | 2.7 | 0.2 | 448 x 448 | 21.6 |
| Qwen3-2B | 3.1 | 21.9 | 2.6 | 10.0 | 0.9 | 448 x 448 | 11.5 |
| Qwen3-4B | 8.7 | 49.6 | 5.6 | 10.6 | 1.1 | 448 x 448 | 5.7 |
| InternVL3.5-1B | 1.9 | 8.3 | 8.0 | 1.5 | 0.8 | 448 x 448 | 24 |
| InternVL3.5-2B | 3.0 | 22 | 8.0 | 2.7 | 0.8 | 448 x 448 | 11.2 |
| InternVL3.5-4B | 5.4 | 50 | 8.0 | 5.9 | 0.8 | 448 x 448 | 5 |
| InternVL3.5-8B | 8.8 | 92 | 8.0 | 50.5 | 5.8 | 448 x 448 | 3.5 |
| Qwen2.5-3B | 4.8 | 48.3 | 4.0 | 17.9 | 1.8 | 392 x 392 | 7.0 |
| Qwen2-7B | 8.7 | 86.6 | 34.5 | 37.1 | 20.7 | 392 x 392 | 3.7 |
| Qwen2-2.2B | 3.3 | 29.1 | 2.5 | 17.1 | 1.7 | 392 x 392 | 12.5 |
| InternVL3-1B | 1.3 | 6.8 | 1.1 | 7.8 | 0.75 | 448 x 448 | 30 |
| SmolVLM2-2.2B | 3.4 | 21.2 | 2.6 | 10.5 | 0.9 | 384 x 384 | 11 |
| SmolVLM2-500M | 0.8 | 4.8 | 0.7 | 2.5 | 0.25 | 384 x 384 | 31 |
| SmolVLM2-256M | 0.5 | 1.1 | 0.4 | 2.5 | 0.25 | 384 x 384 | 54 |
<sup>1</sup> The total used memory; LLM plus the VLM. <br> <sup>2</sup> When an llm/vlm model is loaded for the first time from your disk to RAM or NPU, it is called a cold start.<br> The duration depends on your OS, I/O transfer rate, and memory mapping.<br> <sup>3</sup> Subsequent loading (warm start) takes advantage of the already mapped data in RAM. Mostly, only a few pointers need to be restored.<br><br> <img width="1000" height="700" alt="Plot_Tokens" src="https://github.com/user-attachments/assets/7342debe-769c-46c9-8a83-755caf7d67dc" /><br> <img width="1000" height="700" alt="PlotMemory" src="https://github.com/user-attachments/assets/cf4362e6-f644-46d3-9b74-d129b23d3c44" />