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vox-magpie

vox-magpie provides a streaming NVIDIA MagpieTTS Multilingual adapter for Vox.

The adapter runs the stable NeMo-Speech.cpp C ABI in an isolated worker process. It emits each NanoCodec PCM chunk as soon as it is available and propagates Vox response cancellation into the native synthesis callback.

Install

pip install vox-magpie

Runtime Dependencies

The lightweight package downloads the pinned NeMo-Speech.cpp v0.2.0 Linux x86_64 CPU runtime into $VOX_HOME/runtime/magpie-native. Downloads are checksum-verified and published atomically. Only the required tokenizer members are range-downloaded from the pinned Magpie v2607 checkpoint.

The initial adapter is CPU-only. It does not allocate CUDA memory or compete with GPU-resident STT models. The official binary supports English, Spanish, German, French, Italian, Vietnamese, Hindi, Arabic, Korean, and Brazilian Portuguese. Japanese and Mandarin require a custom NeMo-Speech.cpp build and are intentionally not advertised by this package.

VOX_MAGPIE_THREADS sets a total native pool budget. Vox divides that budget between the Magpie generator and NanoCodec worker and reports both allocations in adapter memory diagnostics. The default is cgroup-aware and leaves one CPU from the container quota available when the host has more than one CPU.

Use with Vox

vox pull magpie-tts:v2607-f16
vox run magpie-tts:v2607-f16 "Hello from Magpie." --voice john

Magpie provides five preset voices: Aria, Jason, John, Leo, and Sofia. It does not support reference-audio voice cloning or speed values other than 1.0.

Metadata

Release files for vox-magpie 0.1.0

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