Repository: localaiLicense: apache-2.0
MOSS-Transcribe-Diarize 0.9B, an end-to-end audio understanding model for joint multi-speaker transcription, speaker diarization and timestamping in a single pass. Q5_K GGUF for the moss-transcribe-cpp backend (C++/ggml port of OpenMOSS MOSS-Transcribe-Diarize), byte-identical to the reference at ~1/6 the size. Faster than the reference PyTorch runtime on CPU (1.6 to 2.2x).
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