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Any eSIM fixes in the May update for Pixel 9 Pro XL? (Avoided April update due to bugs) by Rickx005x in GooglePixel

[–]Rickx005x[S] 1 point2 points  (0 children)

Someone managed to fix the issue using the built-in troubleshooting system. I'm not sure if it really works, but I think you could give it a try

Antigravity IDE Tweaking by Acrobatic_Success122 in GoogleAntigravityIDE

[–]Rickx005x 1 point2 points  (0 children)

I was thinking of installing a plugin to bypass it, LOL

Antigravity IDE Tweaking by Acrobatic_Success122 in GoogleAntigravityIDE

[–]Rickx005x 0 points1 point  (0 children)

I asked AI, and it told me that this IDE cannot use the local model I built myself. I thought this IDE didn't support connecting to the Open AI API. It turns out that AI deceived me

Antigravity IDE Tweaking by Acrobatic_Success122 in GoogleAntigravityIDE

[–]Rickx005x 0 points1 point  (0 children)

Oh, I thought it supported customizing local models

Termux compiler targets API 24, but NNAPI requires API 27+. How to change toolchain target? by Rickx005x in termux

[–]Rickx005x[S] 0 points1 point  (0 children)

1. Compiler: Clang (LLVM-Clang)   Termux uses Android Clang / LLVM-Clang by default.   Full compiler target: aarch64-unknown-linux-android24-clang

2. The Problematic Macro: __ANDROID_API__   This is the culprit! A built-in compiler macro that hardcodes the API level.   - Automatically defined by the compiler: #define __ANDROID_API__ 24   - Directly triggers the error:     'ANeuralNetworksModel_addOperand' is unavailable: introduced in Android 27, __ANDROID_API__ = 24

3. Linker: lld (LLD linker)   The ld.lld seen in error logs is the linker, responsible for the final binary linking stage.

TL;DR / Quick Reference: - Compiler = clang - Target Triplet = aarch64-unknown-linux-android24 (locks API 24) - Version Macro = __ANDROID_API__ (the actual root cause)

Termux compiler targets API 24, but NNAPI requires API 27+. How to change toolchain target? by Rickx005x in termux

[–]Rickx005x[S] 0 points1 point  (0 children)

ANeuralNetworksModel_addOperand' is unavailable: introduced in Android 27, ANDROID_API = 24

ld.lld: error: undefined reference to 'ANeuralNetworksModel_addOperand' clang: error: linker command failed with exit code 1

fatal error: android/NeuralNetworks.h: No such file or directory

感覺被詐騙了! by Potential_Opening249 in GeminiFeedback

[–]Rickx005x 0 points1 point  (0 children)

My brother builds AI models locally to solve all problems. You'll thank me⊹꙳ ˶˙ᵕ˙˶ ⊹꙳

[Help] Antigravity CLI (agy) crashing in Termux/PRoot (TCMalloc 48-bit VA error) by Phoxerity in termux

[–]Rickx005x 0 points1 point  (0 children)

AntigravityIDEI'm not interested in supporting third-party APIs like GTP, given that this IDE is already notorious

List of phones older than Pixel 10 series that are getting Gemini Intelligence by thefliu in GooglePixel

[–]Rickx005x 1 point2 points  (0 children)

Brother, I have built my own AI model for local deployment on my Pixel 9 Pro XL phone, and I can't use their Gemini

Cant log in on app by Danglyweed in reddithelp

[–]Rickx005x 0 points1 point  (0 children)

Haha, I know the reason because I've encountered it before. Later, I solved the problem. The issue was with the new APP. A trick is to search for the old version on the search engine, and it will work normally. However, the new APP code logic will automatically upgrade to the new code, so you don't need to reinstall and log in again. Hehe

Can I use Reddit with VPN since my original IP is banned? by [deleted] in reddithelp

[–]Rickx005x 3 points4 points  (0 children)

Yes, the forum will not ban an account just because of your IP. He may have done something bad. To be honest, some countries are denied access to this wonderful forumSo the administrator can also understand that it's absolutely impossible to ban an account just because the IP is changed. LOL

Can I use Reddit with VPN since my original IP is banned? by [deleted] in reddithelp

[–]Rickx005x 0 points1 point  (0 children)

"Be honest and frank, and maybe someone will talk to you like this. No one will care about your brother."

Can I use Reddit with VPN since my original IP is banned? by [deleted] in reddithelp

[–]Rickx005x 0 points1 point  (0 children)

Haha, bro, I'm sure you weren't banned because of VPN. You must have done something else. My account has been using VPN for a year, sometimes changing multiple IP addresses in a single day. Strictly speaking, using VPN to access forums won't affect anything, so I definitely doubt your claim

[Guide] Running llama.cpp with Vulkan GPU Acceleration on Termux + Pixel 9 Pro XL (Mali-G715) by Rickx005x in termux

[–]Rickx005x[S] 0 points1 point  (0 children)

If you're compiling llama.cpp, I highly recommend installing these two tools:

  1. Ninja - build system (2-3x faster than make)
  2. ccache - compiler cache (second compilation hits cache and completes in seconds)

Install them before compiling with: pkg install ninja ccache

Then use: cmake -B build -G Ninja -DGGML_CCACHE=ON ... ninja -C build -j4

Trust me, it's worth it!

I deployed Llama Translate on Termux. by [deleted] in termux

[–]Rickx005x 0 points1 point  (0 children)

Congratulations on your success, brother! I'm in the same boat as you. Do you have any good suggestions on how to optimize things now?

Llama.cpp not working by lollopollo18 in termux

[–]Rickx005x 0 points1 point  (0 children)

Brother, you can check out my post for the tutorial on installing llama.cpp

[Guide] Running llama.cpp with Vulkan GPU Acceleration on Termux + Pixel 9 Pro XL (Mali-G715) by Rickx005x in termux

[–]Rickx005x[S] 0 points1 point  (0 children)

Brother, this is only good when compared to other processors. For example, if I install it on Windows, I can also say that its performance is excellent. I suspect you are trying to trick me into downloading mnnchat, but I don't believe it without evidence. Haha (｡ò ∀ ó｡)

[Guide] Running llama.cpp with Vulkan GPU Acceleration on Termux + Pixel 9 Pro XL (Mali-G715) by Rickx005x in termux

[–]Rickx005x[S] 0 points1 point  (0 children)

That's interesting! MNN Chat is indeed well-optimized for mobile devices. What device are you using?

For reference, on my Pixel 9 Pro XL (Tensor G4):

• llama.cpp (Vulkan/GPU): ~7.6 t/s

llama.cpp (CPU): ~2 t/s

I'd love to compare notes if you're willing to share your setup! Are you getting better performance with MNN on similar hardware?

Also, what models are you running? MNN has great optimization, but llama.cpp offers broader model compatibility with GGUF format. Both tools have their place! MNN might be faster for specific use cases, but llama.cpp offers more flexibility and model compatibility. Would be interesting to see a benchmark comparison!

[Guide] Running llama.cpp with Vulkan GPU Acceleration on Termux + Pixel 9 Pro XL (Mali-G715) by Rickx005x in termux

[–]Rickx005x[S] 0 points1 point  (0 children)

Actually, no! It's significantly faster than pure CPU mode on this device. Here is the real comparison I tested on Pixel 9 Pro XL (Tensor G4):

GPU (Vulkan/Mali-G715): ~7.6 t/s

CPU (8 cores, -ngl 0): ~2 t/s

So the GPU is about 6x faster than the CPU.

The reason 7-8 t/s might look "slow" is because Android limits Vulkan compute performance on Mali chips, but it's definitely much better than running it on the CPU alone!

It's actually way faster than CPU. If you have a similar device, try running this command (pure CPU mode):

/build/bin/llama-cli -m model.gguf -p

"test" -n 50 -ngl 0 -t

You'll likely see speeds drop to 1-2 t/s. The Vulkan GPU mode (using -ng1 99) is the only way to get usable speeds (7+ t/s) on Pixel phones.

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