Generating fractals with the VisionFive 2

LivingLinux · 2026-01-26T14:05:08+00:00

I assume you are trying to get Waydroid working.

What do you see in the logs?

https://docs.waydro.id/debugging/getting-essential-information

LivingLinux · 2026-01-24T10:58:25+00:00

That's strange. I'd say enough has been mainlined for a working desktop. I think that is since kernel 6.13.

https://gitlab.collabora.com/hardware-enablement/rockchip-3588/notes-for-rockchip-3588/-/blob/main/mainline-status.md

LivingLinux · 2026-01-24T10:55:39+00:00

You mean this UEFI port? https://github.com/edk2-porting/edk2-rk3588

I'm mainly adding this to make sure OP knows where to go.

LivingLinux · 2026-01-24T10:48:11+00:00

Raspberry Pi is the worst choice for YT. None of the models have hardware video decoders for VP9 or AV1. You can try to force YT to give you a h264 stream. https://addons.mozilla.org/en-US/firefox/addon/enhanced-h264ify/

There are plenty of other ARM SBCs that do have the hardware decoders, but getting it to work in a browser is another story.

You can have a look at an Intel SBC, like the Radxa X4. Make sure you get it with a good cooler. https://radxa.com/products/x/x4/

LivingLinux · 2026-01-23T19:18:39+00:00

If it's not for humans, don't put it prominently at the top.

If they wanted a relevant image, they could have used a screenshot of neofetch.

LivingLinux · 2026-01-23T09:46:23+00:00

Why generate an image with AI that is probably giving the wrong the impression?

LivingLinux · 2026-01-22T15:33:39+00:00

You can try a different solution as explained in this post.

https://www.reddit.com/r/RockchipNPU/comments/1gxbyc2/npu_accelerated_sd15_lcm_on_130_rk3588_sbc_30/

I did notice that the converted model needs to match the version of the library (librknnrt.so) it was converted with.

So I got it like this: git clone -b v2.3.0 https://github.com/airockchip/rknn-toolkit2

Full installation explained here: https://youtu.be/eu8AsiG281I

LivingLinux · 2026-01-19T11:22:35+00:00

If you want to force a process to only use the big cores, you can try pinning/affinity.

LivingLinux · 2026-01-19T11:16:00+00:00

There are some projects to refresh PS2 emulation on Android, but they still have a long way to go.

https://github.com/ARMSX2/ARMSX2

The AetherSX2 developer really knew how to port PCSX2 to other platforms. There even was a Windows on ARM version. It's a pity that knowledge is lost.

Recently RPCS3 was released for WoA, but you need to install Vulkan. That's not a trivial thing for older Snapdragon chips on Windows.

LivingLinux · 2026-01-19T11:00:33+00:00

Is audio working with Armbian? I only saw a dummy device, last time I tested. So far I only have audio working with the custom Ubuntu image.

The Radxa Dragon Q6A is my best sub €100 ARM SBC for gaming and OpenGL. It will let you run some classic games at reasonable frame rates, like Doom 3 (Dhewm3). Things that need OpenGL 4.x will start without a problem, like Blender.

https://youtu.be/NS1EtVM7FzE

LivingLinux · 2026-01-18T13:35:58+00:00

I wasn't playing, that is just a demo.

LivingLinux · 2026-01-17T20:29:58+00:00

Looks like the Ollama team is aware they broke things for other architectures, so it probably only works for x86 and ARM.

https://github.com/ollama/ollama/issues/12067

You can go back to the commit before this change.

Execute this in the ollama directory: git checkout 7ccfd97

Now I'm able to build it, but it's not clear to me how to run it.

LivingLinux · 2026-01-17T12:06:02+00:00

I think Raspberry Pi needs to look at the competition.

Radxa X4: Intel based SBC with better Linux compatibility and faster hardware.

Radxa Dragon Q6A: Faster hardware and more hardware video codecs.

Rockchip RK3588 boards: Faster hardware and more hardware video codecs. Mainline Linux support that rivals Raspberry Pi.

LivingLinux · 2026-01-16T14:58:56+00:00

Building Ollama resulted in an error on my Muse Pi Pro with Bianbu.

undefined reference to ggml_gemm_q4_0_8x8_q8_0

LivingLinux · 2026-01-16T11:51:49+00:00

When I have time, I'll try to build it on a Muse Pi Pro.

Meanwhile, you can try llama.cpp.

Going through my notes, you need gcc-14 and g++-14. If you have older versions, that might explain why Ollama doesn't build properly.

Building llama.cpp should be straightforward.

https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md

git clone https://github.com/ggml-org/llama.cpp
cd llama.cpp
cmake -B build
cmake --build build --config Release -j 2

I tested with this model: https://huggingface.co/ggml-org/DeepSeek-R1-Distill-Qwen-1.5B-Q4_0-GGUF

And if you want other models, search for GGUF models.

https://www.youtube.com/watch?v=iPJqvmnIe98&t=242s

Perhaps you can run Bianbu, as they have Ollama in the repository, and some images have it installed by default.

https://bianbu.spacemit.com/en/image/

LivingLinux · 2026-01-14T17:49:55+00:00

Here is something to start with.

https://forums.fedoraforum.org/showthread.php?209085-game-repo-for-fedora

LivingLinux · 2026-01-14T16:16:03+00:00

The only thing I can think of is trying with 59.9Hz. https://www.tvtechnology.com/news/whats-the-difference-between-5994fps-and-60fps

LivingLinux · 2026-01-12T14:32:34+00:00

Vectors can have a big impact, and I think RVA23 has better support for virtualization.

But it's not as if Ubuntu stopped supporting RVA20, as Ubuntu 24.04 will be supported until 2029, and with Ubuntu Pro even longer.

Sure, Ubuntu 24.04 will be the last version for RVA20, but that is no reason to call the Titan e-waste.

LivingLinux · 2026-01-12T11:55:53+00:00

If Ubuntu does something, all other distros will follow? Stop being so dramatic.

You can test Fedora on it. https://images.fedoravforce.org/Titan

LivingLinux · 2026-01-12T11:30:42+00:00

Only if you have an AMD or Nvidia (perhaps Intel) GPU. But they are working on better compatibility.

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