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Ran a 0.9B transcribe + diarize model on a 17.5 minute, 4 person AMI meeting on a MacBook: all 4 speakers found, 0.08% speaker confusion, done in 12 minutes

Wanted to see how one model that does transcription, speaker labels and timestamps in a single pass handles a real meeting, so I ran MOSS-Transcribe-Diarize 0.9B on a four person meeting from the AMI test set and scored its speaker turns against AMI's reference. Setup: 17:29 of AMI headset mix audi…

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  1. 2026-10-22 15:03 · r/LocalLLaMA
    Ran a 0.9B transcribe + diarize model on a 17.5 minute, 4 person AMI meeting on a MacBook: all 4 speakers found, 0.08% speaker confusion, done in 12 minutes

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