desireeia

Python wrapper for DesireeIA, a local LLM inference engine (GGUF models, CPU/GPU backends). This package ships a thin ctypes binding over the native engine, with prebuilt binaries bundled per-platform so it works without a separate native install step.

Full documentation, model compatibility notes, and the C++/CLI side of the project live in the main repository: https://github.com/passaroweb/DesireeIA (see the project README for details).

Install

pip install desireeia

Bundled platforms

This wheel bundles the native engine for the platforms it was built on. Check desireeia/lib/ in the installed package for the exact list — at minimum win-x64 and linux-x64 are included. If your platform/arch isn't bundled yet, the package will raise a clear error on import rather than silently failing.

• Windows: the engine DLL and its CUDA runtime (cudart64_13.dll, for GPU acceleration) are bundled. It also needs the Microsoft Visual C++ Redistributable (x64) on the system — already present on most Windows machines (installed by countless other apps, .NET, GPU drivers, etc.), but not bundled in this package. If import fails with a missing-DLL error, install it from https://aka.ms/vs/17/release/vc_redist.x64.exe and retry.
• Linux: the engine .so only depends on libstdc++, libgcc_s and glibc — present on essentially every distribution by default, nothing extra to install. GPU acceleration is not packaged for Linux yet (CPU-only); this is a known gap, not a silent limitation.
• macOS: not built yet (osx-x64/osx-arm64 are not bundled) — importing on macOS will fail with a clear error until a macOS build is produced.

License

See LICENSE — proprietary, no modification or unauthorized integration, no AI training/ingestion without explicit written consent from the author.