ankit-pn/MioCodec-25Hz-44.1kHz-v2-ONNX

AI model by ankit-pn

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Browser-runnable ONNX export of Aratako/MioCodec-25Hz-44.1kHz-v2, a 25 Hz / 341 bps neural audio codec (WavLM-base+ encoder, iSTFTHead decoder, 44.1 kHz output). Two graphs, split so the browser can load only what it needs: Weights are stored as fp16 with a Cast to fp32, so the files are half the size while all arithmetic still happens in float32. The FSQ quantiser and the iSTFT tables stay fp32 so tokenisation and synthesis remain stable. Both graphs have a dynamic sequence length. The reference implementation needed four rewrites to be ONNX/WebGPU-friendly; each is numerically equivalent (verified against the PyTorch model: identical tokens, identical speaker embedding, waveform max abs diff…

ankit-pn/MioCodec-25Hz-44.1kHz-v2-ONNX on Hugging Face A short preview, not the full document.

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  1. MioCodec-25Hz-44.1kHz-v2 — ONNX (WebGPU-ready)
  2. Export notes

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Model overview

ankit-pn/MioCodec-25Hz-44.1kHz-v2-ONNX is a task-unspecified model repository published by ankit-pn on Hugging Face. The source reports the onnxruntime-web library.

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Model facts

Task
Not reported
Library
onnxruntime-web
Recent downloads (30 days)
0
Cumulative likes
1
Hugging Face trending score
1
Reported safetensors parameters
Not reported
Architecture
Not reported
License
mit
Access
Not gated by Hugging Face
Created
2026-10-19T06:19:16.000Z
Last modified
2026-10-19T06:19:33.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Aratako/MioCodec-25Hz-44.1kHz-v2

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Source: Hugging Face Hub. Metadata observed 2026-10-19T06:43:13.200Z. Daily imports are snapshots, not real-time monitoring.

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