MMS-TTS Dhivehi — Quantized checkpoints

Locally quantized (dynamic int8) PyTorch state-dicts of the Dhivehi MMS-TTS (VITS) checkpoints, produced during the Dhivehi TTS project's quantization campaign (quantize_mms.py, chatterbox-tts-dhivehi).

Base weights (not ours): the six models below were published by alakxender (MIT license). This repo contains our derived quantization artifacts and is republished with attribution.

Honest caveats

• Dynamic INT8 quantizes only the nn.Linear layers; MMS/VITS has just four of them, so these files are ~142.8 MB vs the ~145 MB FP32 originals — functional, but not a major compression or RAM win.
• All six reload and generate valid Dhivehi audio (validated on the GTX 1650 benchmark rig). No listening panel was run; perceptual quality is assumed near-identical because most of the model was left at FP32.

Related

• ONNX exports (fp32 + int8): mohamedrayyan/mms-tts-dhivehi-onnx
• Dhivehi TTS project incl. benchmark reports: mohamedrayyan/chatterbox-tts-dhivehi