# Flippermind-lite Release > Source: > Published: 2026-07-16 00:36:17+00:00 If you are like me and use AI often to help with complicated tasks and own a Flipper Zero, you might want a Super Tiny Language Model (STLM). Until now, there have been no language models small enough to run on a small device, such as a Flipper Zero. Flippermind relies on lightweight Python3 installs and a local connection to Qwen2.5-0.5B. Although this is configured for Flipper Zero, you can run it on other small machines like a Raspberry Pi. Throughout development, I found errors within the language model not loading. PyTorch and Python3 transformers are used to run the Python3 dependencies, and they would not run on Debian Linux distros. I fixed the install.sh to run on any OS. There are a couple main components that make this function. The main function is the `qwen_2_5_ask.py` script located in `tools/` . This is script runs the language model when asked a question. Example: ``` python3 qwen_2_5_ask.py "Hello world" ``` The `install.sh` file located in `main` works as the installer for the model. You run it using: ``` bash install.sh ``` You can download it on the GitHub repo linked below. To help me continue to work on this, check out our [Github Repo](https://github.com/SYOP200/flippermind-lite) If you have questions or just want to talk, talk to me in the comments or email me at [hello@syop200.com](mailto:hello@syop200.com) What do you guys think? Any ideas? I'm curious if anyone has successfully ran other quantized models on hardware with this little RAM—let me know in the comments!