Mercury-M16nc
A full-duplex speech-to-speech model fine-tuned for time-aware conversation. Released under a codename while the associated paper is under anonymous review.
What this checkpoint is
PAD loss weight 1.0 with gradient accumulation 32 (effective batch 32), lr 1e-5, no native clock.
Trained for 2 epochs on 4,440 self-generated full-duplex dialogues whose word timestamps come from forced alignment of the rendered audio (not from the model's own decision frames).
Reported measurements
Text/audio consistency on 100 held-out dialogues — does the produced audio actually say what the text-decision stream decided? Both sides come from the model's own artifacts; no reference transcript is involved.
| this checkpoint | untuned base | |
|---|---|---|
| character-level consistency (mean / median) | 69.6% / 72.2% | 92.6% / 96.2% |
| word-level recall | 43.4% | 79.1% |
| severe mismatch (<50%) | 69/100 | 6/100 |
| text emission rate | 2.8 tok/s | 2.5 tok/s |
Frames are 80 ms (12.5 fps), audio is 24 kHz.
Attribution and licence
Derived from a publicly available full-duplex speech model released under CC-BY-NC-4.0. This checkpoint inherits that licence: non-commercial use only. The base model's name and full attribution are withheld only for the duration of anonymous review and will be added here once the associated paper is de-anonymised.
Not included
Training code, data, and evaluation scripts are withheld during anonymous review.