lucascs@proton.me Lucas C.S. whisper.cpp is a plain C/C++ implementation of OpenAI's Whisper automatic speech recognition model, built on the ggml tensor library and free of external runtime dependencies. It transcribes and translates audio using quantized models in the GGML format, on CPU or with optional acceleration through CUDA, ROCm/HIP, Vulkan or OpenCL backends. The package provides whisper-cli (one-shot transcription), whisper-server (an HTTP server with an OpenAI-compatible endpoint), whisper-bench and whisper-quantize, plus the parakeet-cli and parakeet-quantize tools for NVIDIA's Parakeet TDT models, which upstream added alongside Whisper in the 1.9 series. With USE=sdl2 the real-time microphone examples whisper-stream, whisper-command, whisper-talk-llama and whisper-lsp are built as well. Models are not shipped with this package and must be downloaded separately, typically from Hugging Face. The CPU backend is tuned through the architecture's CPU_FLAGS: on x86 through CPU_FLAGS_X86, and on ARM through CPU_FLAGS_ARM, which ggml gates at compile time via an accumulated -march string rather than per-feature build options. The ggml libraries this package builds are installed into a private subdirectory rather than the system libdir, because sci-ml/llama-cpp vendors the same ggml tree and owns those paths. Note that the ebuild is adapted from the istitov/stuff overlay (app-accessibility/whisper-cpp). Build a BLAS backend against sci-libs/openblas, whose cblas interface ggml-blas requires Link the examples against media-video/ffmpeg so they accept audio formats other than WAV Build a HIP (ROCm) backend Build an OpenCL backend, so far only works on Adreno and Intel GPUs Build the real-time capture examples that use media-libs/libsdl2 ggml-org/whisper.cpp https://github.com/ggml-org/whisper.cpp/issues https://github.com/ggml-org/whisper.cpp/releases