I'll explain how to check your graphics card information and the options you have for Android.
How to tell if your PC has a dedicated GPU
The quickest way is to open Task Manager (press Ctrl+Shift+T Ctrl + Shift + Esc), go to the Performance tab , and look for the GPU section . If you see something like "GPU 0" and "GPU 1," you have two: one is the integrated graphics (usually Intel), and the other is the dedicated graphics (NVIDIA or AMD), which is the one you'd want to accelerate AI models. If you only see one and it says "Intel HD Graphics" or "AMD Radeon Graphics," your PC only has integrated graphics.
Another more detailed route: search in the Start menu for "System Information" , open it, expand "Components" , and click on "Display" . There you will see the exact model of your video adapter.
For your 8GB of RAM, if you don't have a dedicated GPU, I recommend using 1.7B or 3B models at most (like the Phi-4-mini or Qwen3-1.7B ), because the RAM is shared between the system and the video. With 8GB you won't get great speed, but it will work for experimenting.
Android apps: yes, they exist
There are excellent apps that run models locally on your mobile device without sending data to the cloud. These are the best:
ChatterUI (free and open source): Supports GGUF models, works with pure CPU, has support for chats and modes, and is one of the most active and stable.
PocketPal AI (free): Very easy to use, allows you to download models directly from Hugging Face, good for beginners.
Layla (free with limits): It is the best known, has a polished interface, supports several models and backends, and is completely offline.
Maid (open source): Supports GGUF, good sampling parameters, but it's not so easy to find on the Play Store; it's usually downloaded from GitHub.
llama.cpp for Android (advanced): If you like tinkering, you can compile the library directly and run models from Termux.
They all run the same GGUF models you'd use on your computer. The best ones to start with are ChatterUI or PocketPal AI . Download them from the Play Store or their repositories on GitHub (they're safe and transparent).