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ezrknpu

Easy usage of Rockchip's NPU found in RK3588 and similar chips. This includes ChatGPT-like LLMs and models like YoloV5. This repo is divided in two submodules:

Apart from that, you can find converted LLMs (and how to download them) here:

Currently focusing only on RK3588 and RK3588S.

Demo Videos

Check out these links to see some LLMs in action:

Requirements

Keep in mind this repo is focused for:

  • Installing what's needed for Linux and running on the SBC directly.
  • Rockchip RK3588, but I accept contributions for running on other compatible Rockchip SoCs.
  • Using NPU driver 0.9.6 or higher (for basically any LLM except the smallest like Qwen 1.8). Check it with dmesg | grep -i rknpu
  • You are running either Debian 11 or Ubuntu 22.04 or later versions. Derivatives should possibly work fine too. I personally recommend either Armbian or Ubuntu Rockchip

Recommended OS

Use this OS for now: https://github.com/Pelochus/armbian-build-rknpu-0.9.6

This is a modified Armbian by me with the NPU driver 0.9.6. I've made a PR (already approved) to the Armbian guys to include the driver 0.9.6, in future releases with kernel 6.1, Rockchip devices will already have this driver included from the official Armbian guys.

Quick Install

This will install required dependencies, packages, libraries and install both RKNN Toolkit 2 and RKNN LLM.

Run:

curl https://raw.githubusercontent.com/Pelochus/ezrknpu/main/install.sh | sudo bash

Custom install

You can download the install.sh script in this repo and run it with:

  • -llm: for installing only RKNN LLM
  • -nn: for installing only RKNN Toolkit 2

Running

Depending on what you want to run, please refer to these links:

Test Run

Currently, the lightest (works on 4GB of RAM) and best working model is Qwen 1.8B Chat. To run it:

GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Pelochus/qwen-1_8B-rk3588 # Running git lfs pull after is usually better
cd qwen-1_8B-rk3588 && git lfs pull # Pull model
rkllm qwen-chat-1_8B.rkllm # Run!

Wait for about a minute before the model loads. If something fails, perhaps it is a good idea keep reading below.

Downloading and running a LLM on your NPU

For downloading:

For running an already downloaded model:

Converting a compatible model to RKLLM format (check previously Rockchip's docs on rknn-llm repo). This needs a x86 PC:

Running and using the RKNN-Toolkit for NN applications

https://github.com/Pelochus/ezrknn-toolkit2/?tab=readme-ov-file#test


Checking NPU info

NPU usage

You have 3 options for checking usage:

  • rknputop (graphical option, works on OSes without GUI): https://github.com/ramonbroox/rknputop
  • Running ntop.sh, from this repo which runs the command from next point every 0.5 s
  • Running sudo cat /sys/kernel/debug/rknpu/load

NPU driver

Run dmesg | grep -i rknpu and it should output something like:

[    7.648610] RKNPU fdab0000.npu: Adding to iommu group 0
[    7.648747] RKNPU fdab0000.npu: RKNPU: rknpu iommu is enabled, using iommu mode
[    7.648893] RKNPU fdab0000.npu: Looking up rknpu-supply from device tree
[    7.650056] RKNPU fdab0000.npu: Looking up mem-supply from device tree
[    7.652808] RKNPU fdab0000.npu: can't request region for resource [mem 0xfdab0000-0xfdabffff]
[    7.652838] RKNPU fdab0000.npu: can't request region for resource [mem 0xfdac0000-0xfdacffff]
[    7.652859] RKNPU fdab0000.npu: can't request region for resource [mem 0xfdad0000-0xfdadffff]
[    7.653197] [drm] Initialized rknpu 0.9.5 20240226 for fdab0000.npu on minor 1

Useful Links

Contributing

Please open an issue or PR on the corresponding submodule repo. If unsure, open it on this repo:

Currently (and mainly) there are the following contributions to be made:

  • Other Rockchip SoCs support. Check their documentation to see which are capable.
  • Android support
  • Conversion of other compatible LLMs
  • Improve documentation
  • [ x] Other general improvements to installation scripts, Docker containers, support for other Linux distros like Arch, submitting issues, adding more error checking...

Credits

To the r/RockchipNPU subreddit, which helped me tremendously with testing and discovering why things failed and how to solve those issues.

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Easy usage of Rockchip's NPUs found in RK3588 and similar chips

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