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README.md

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+# OmniVoice Core ML bundles (TranslateBlue export)
+
+Private artifact drop for **on-device** experiments. Upstream weights: [`k2-fsa/OmniVoice`](https://huggingface.co/k2-fsa/OmniVoice).
+
+## Contents
+
+| Path | Description |
+|------|-------------|
+| `OmniVoice_Vocoder.mlpackage` | Higgs **decode** (discrete codes → waveform). |
+| `OmniVoice_GeneratorStep.mlpackage` | **Real** `OmniVoice.forward` logits (`torch.export` + coremltools). |
+| `OmniVoice_AudioEncoder.mlpackage` | **Real** Higgs **encode** (waveform → codes). |
+| `OmniVoice_LM.mlpackage` | **Stub** I/O only (not trained weights). |
+| `OmniVoice_SpeakerEncoder.mlpackage` | **Stub** placeholder. |
+| `tokens.txt` | Text tokenizer vocabulary for Swift. |
+
+Export scripts live in the TranslateBlue repo under `Scripts/export_omnivoice_coreml/`. See `Docs/OmniVoice_CoreML_Contract.md` for Swift vs Python I/O notes.
+
+**License:** Follow the license terms of `k2-fsa/OmniVoice` and third-party components (Qwen3, Higgs, etc.). Do not redistribute if your use case is not permitted by those licenses.

REAL_GENERATOR_README.txt

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+OmniVoice_GeneratorStep.mlpackage is the real OmniVoice.forward logits export (C=8, V=1025, max_seq=32, batch rows=2 for B=1 CFG layout).
+Swift DiffusionEngine still expects OmniVoice_LM.mlpackage stub I/O until you implement upstream masked decoding.

STUB_README.txt

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+OmniVoice_LM.mlpackage was built with export_lm_step.py --stub (NOT trained OmniVoice).