Instructions to use HanzoHuang/Qwen3-VL-4B-Instruct-RKLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use HanzoHuang/Qwen3-VL-4B-Instruct-RKLLM with RKLLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Add reComputer AI Lab one-command deployment banner
Browse files
README.md
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tags: [rkllm, rockchip, rk3576, rk3588, qwen3-vl]
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# Qwen3-VL-4B-Instruct · RKLLM
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Text and image chat on Rockchip RK3576 and RK3588, converted from [Qwen/Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct).
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tags: [rkllm, rockchip, rk3576, rk3588, qwen3-vl]
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## 🚀 Deploy with reComputer AI Lab
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Explore and deploy AI models on Rockchip **RK3576** and **RK3588** devices with **reComputer AI Lab**.
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[](https://sensecraft.seeed.cc/ai-lab/en/models?device=rk3588)
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### ⚡ Run with one command
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With Docker installed, choose your model and board in reComputer AI Lab, copy the deployment command, and run it in your device’s terminal.
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**[Explore Models & Deployment Guides →](https://sensecraft.seeed.cc/ai-lab/en/models?device=rk3588)**
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# Qwen3-VL-4B-Instruct · RKLLM
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Text and image chat on Rockchip RK3576 and RK3588, converted from [Qwen/Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct).
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