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- Reddit user benchmarks MOSS-Transcribe-Diarize 0.9B on a MacBook
A Reddit user in r/LocalLLaMA ran MOSS-Transcribe-Diarize 0.9B on a 17:29 four-speaker AMI test meeting using the model's README transformers code in fp32 with sdpa attention, greedy decoding, no hotwords and no VAD, on an M5 Pro MacBook Pro with 64 GB via MPS. The user reports the run took 714 seconds for the 1,049-second file, about 0.68x real time, and found all four speakers; with a 0.25-second collar and best speaker mapping, speaker confusion was 0.08% and overall DER was 15.4%. The author notes this is one meeting scored on who and when, and asks for pyannote 3.1 plus Whisper comparisons on Apple silicon.
r/LocalLLaMA · 🔥 0
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