For RK3588, I used NanoPC-T6 from Friendly Elec. Partially I described the flashing process here - th-cam.com/video/pN8mKZ5wpdQ/w-d-xo.html And you can use the same RKLLM, or it's a fork to install LLM.
@@AntonMaltsev hi again Anton, on the rock ship doc, they say : 1） Download the rknpu_driver_0.9.6_20240322.tar.bz2. 2） Unzip the compressed file and overwrite the RKNPU driver code into the current kernel code directory. 3） Recompile the kernel. 4） Flash the newly compiled kernel to the device. But I think it’s not so easy 😊 I will try, I am just worried because of the retro compatibility with my yolov8 vision application
Why do people always say their names at the beginning of the video, who cares about the name, what does it matter, what value does it add to the video?
Great stuff here!
would love to see tests of computer vision speed between the two chips!
Hi Anton, thanks for your feedback on rk llm.
I have a question, I didn’t understand how you could flash the RK3588 to run the tiny llm ?
For RK3588, I used NanoPC-T6 from Friendly Elec. Partially I described the flashing process here - th-cam.com/video/pN8mKZ5wpdQ/w-d-xo.html
And you can use the same RKLLM, or it's a fork to install LLM.
@@AntonMaltsev hi again Anton, on the rock ship doc, they say :
1） Download the rknpu_driver_0.9.6_20240322.tar.bz2.
2） Unzip the compressed file and overwrite the RKNPU driver code into the current kernel code
directory.
3） Recompile the kernel.
4） Flash the newly compiled kernel to the device.
But I think it’s not so easy 😊 I will try, I am just worried because of the retro compatibility with my yolov8 vision application
I did not do anything with kernal reconpailing for any of these platforms.
Why do people always say their names at the beginning of the video, who cares about the name, what does it matter, what value does it add to the video?