# Android / Termux install notes Android is not a supported OBLITERATUS runtime. These notes exist so a Termux (or other Android Python) install does not fight host wheels or download a second setuptools behind PEP 517 isolation. `sys.platform` on current Android CPython is `android`, not `linux`. The locked CPU PyTorch index in `pyproject.toml` is intentionally limited to `linux` and `win32` manylinux/Windows wheels. Do not point Android at that index. ## Layout 1. Install the platform's own `python`, `setuptools`, and scientific wheels first (`torch`, `numpy`, and whatever Termux already packages). Those builds carry the Android patches that PyPI wheels do not. `safetensors` and `tokenizers` are Rust extensions; rustup does not host `aarch64-linux-android`, so install Termux `rust` before pip and export the API level Python was built against (24 on current Termux): ```bash pkg install rust export ANDROID_API_LEVEL=24 ``` 2. Isolated pip builds of meson packages (pandas, matplotlib) will try to compile `cmake`/`ninja` from source and can hang under proot. Install those binaries from Termux first (`pkg install ninja cmake python-matplotlib python-scipy python-pillow python-psutil python-pyarrow python-greenlet python-brotli python-cryptography python-rpds-py python-msgpack libraqm harfbuzz`). PyPI `psutil` sdists reject `sys.platform == "android"`; the Termux package is patched. Termux matplotlib needs `libraqm`. PyPI `tokenizers` abi3 wheels fail on CPython 3.14 (`PyBaseObject_Type`); rebuild without the `abi3` cargo feature so the extension is `cp314` instead of `abi3`. Then install OBLITERATUS without build isolation: ```bash python -m pip install --no-build-isolation -e ".[spaces]" ``` 3. If pip still tries to compile `torch` or `numpy` from source, install the project over the host packages instead: ```bash python -m pip install --no-build-isolation --no-deps -e . python -m pip install --no-build-isolation "gradio>=6.7,<7.0" ``` Do not use `uv sync --locked` on Android. The lock resolves Linux/Windows CPU PyTorch and does not contain `android_*` wheels for torch, numpy, pyarrow, tokenizers, or bitsandbytes. The `quantization` and `qwen-hybrid` extras are CUDA-oriented and are not an Android install path.