Run each runtime tool on a fixed clip (sample.wav, ~6 s) and diff the output against the frozen golden in golden/. Catches regressions in the ggml graphs, the FSMN-VAD state machine, the CIF predictor and CTC decode.

Run

# from runtime/llama.cpp/, after building (cmake --build build):
./tests/run_regression.sh              # VAD (tiny model auto-fetched) + any tool whose GGUF is already local
RUN_FULL=1 ./tests/run_regression.sh   # also download the ASR GGUFs from Hugging Face and test every tool

BIN_DIR / MODELS_DIR override where binaries and GGUFs are found. Exit code is non-zero if any test fails; tools with no binary or no model are skipped.

Golden

Captured on Linux x86-64 (the reference platform) with the f16 GGUFs published at FunAudioLLM/*-GGUF. Update a golden file only with a deliberate, reviewed output change.