vivi-ai-models

Model weights used by the Vivi Music desktop app's on-device AI helper (vivi-ai). The app uses them for karaoke (vocal removal), playing the vocal or instrumental track on its own, and syncing lyrics automatically. The files are converted copies of existing open models. No weights were retrained or fine-tuned.

File Size SHA-256 Original model License
mdx_inst_hq3.bpk 66,770,192 B a9252b735512ec527f8a09c0356f64dd723fd2d5526dd009b925a9448cfcbf7b UVR-MDX-NET-Inst_HQ_3 MIT (UVR)
mms.bpk 1,261,917,308 B ee287d471965876671bdcd137e080a3c618965fef0e921b2d6846d4947b86ea5 MahmoudAshraf/mms-300m-1130-forced-aligner (based on Meta MMS) CC-BY-NC-4.0

The checksums are also listed in SHA256SUMS and manifest.json.

Changes made

Both models were converted from ONNX to the Burn record format (.bpk, burn 0.22) with burn-onnx, using vivi-ai convert <model.onnx> <out.bpk>. The conversion changes only the file format and tensor layout. The weights are numerically unchanged.

  • mdx_inst_hq3.bpk was converted from UVR-MDX-NET-Inst_HQ_3.onnx, distributed through the Ultimate Vocal Remover model repository (TRvlvr/model_repo).
  • mms.bpk was converted from an ONNX export of MahmoudAshraf/mms-300m-1130-forced-aligner (wav2vec2 CTC, 16 kHz).

Credits and licenses

UVR-MDX-NET-Inst_HQ_3

  • Trained by the Ultimate Vocal Remover (UVR) team: Anjok07, aufr33 and contributors. See https://github.com/Anjok07/ultimatevocalremovergui and https://github.com/TRvlvr/model_repo.
  • The architecture is MDX-Net (KUIELab, Kim et al., "KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing", 2021).
  • License: MIT, as for the UVR project. The UVR authors ask: "For all third-party application developers who wish to use our models, please honor the MIT license by providing credit to UVR and its developers." This card provides that credit.

MMS forced aligner

Usage

The Vivi Music desktop app downloads the files from https://huggingface.co/<repo>/resolve/main/<file>. It resumes interrupted downloads and checks every file against its SHA-256 before use. The repo id can be changed in Settings > AI features.

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