This repository contains the model asset package for running VieNeu-TTS v3 Turbo with the VieNeu-TTS.cpp C++ runtime.
It is not a standalone Transformers checkpoint and it is not a single-file GGUF model. The package combines a GGUF semantic backbone, native runtime weights, tokenizer/config files, voice presets, and MOSS codec ONNX assets expected by the C++ vieneu-v3-native pipeline.
config.json
tokenizer.json
voices_v3_turbo.json
backbone.gguf
vieneu_v3_heads.npz
acoustic/vieneu_acoustic_weights.npz
codec/moss_audio_tokenizer_decode_full.onnx
codec/moss_audio_tokenizer_decode_shared.data
codec/moss_audio_tokenizer_encode.onnx
codec/moss_audio_tokenizer_encode.data
Use the Hugging Face CLI or Python Hub client to download the full folder:
hf download lastudio-community/VieNeu-TTS-v3-Turbo-CPP --local-dir .models/vieneu-v3-turbo-native
Pass the downloaded folder as the model directory and use the bundled codec folder:
.\build\Release\vieneu-tts-cli.exe `
--profile vieneu-v3-native `
--model-dir .models\vieneu-v3-turbo-native `
--codec-dir .models\vieneu-v3-turbo-native\codec `
--text "Xin chao, day la VieNeu-TTS v3 Turbo chay bang C++." `
--output outputs\vieneu-v3-turbo-cpp.wav
The helper benchmark scripts in VieNeu-TTS.cpp also default to this folder layout.
This package is distributed under Apache License 2.0, matching the upstream model license.
When you reuse, redistribute, or convert these assets, please keep the license notice and attribution intact for both the original project and this Hugging Face package:
If you bundle additional third-party assets, their own licenses still apply as well.
Thanks to the original VieNeu-TTS author and maintainers for the model architecture, training, and upstream assets that this C++ package is built around.
backbone.gguf is only one part of the runtime package..npz files are stored without compression because the current C++ loader expects stored NPZ entries.codec/ directory is required for reference audio encoding and waveform decoding.transformers.AutoModel.6 commits
This repository contains the model asset package for running VieNeu-TTS v3 Turbo with the VieNeu-TTS.cpp C++ runtime.
It is not a standalone Transformers checkpoint and it is not a single-file GGUF model. The package combines a GGUF semantic backbone, native runtime weights, tokenizer/config files, voice presets, and MOSS codec ONNX assets expected by the C++ vieneu-v3-native pipeline.
config.json
tokenizer.json
voices_v3_turbo.json
backbone.gguf
vieneu_v3_heads.npz
acoustic/vieneu_acoustic_weights.npz
codec/moss_audio_tokenizer_decode_full.onnx
codec/moss_audio_tokenizer_decode_shared.data
codec/moss_audio_tokenizer_encode.onnx
codec/moss_audio_tokenizer_encode.data
Use the Hugging Face CLI or Python Hub client to download the full folder:
hf download lastudio-community/VieNeu-TTS-v3-Turbo-CPP --local-dir .models/vieneu-v3-turbo-native
Pass the downloaded folder as the model directory and use the bundled codec folder:
.\build\Release\vieneu-tts-cli.exe `
--profile vieneu-v3-native `
--model-dir .models\vieneu-v3-turbo-native `
--codec-dir .models\vieneu-v3-turbo-native\codec `
--text "Xin chao, day la VieNeu-TTS v3 Turbo chay bang C++." `
--output outputs\vieneu-v3-turbo-cpp.wav
The helper benchmark scripts in VieNeu-TTS.cpp also default to this folder layout.
This package is distributed under Apache License 2.0, matching the upstream model license.
When you reuse, redistribute, or convert these assets, please keep the license notice and attribution intact for both the original project and this Hugging Face package:
If you bundle additional third-party assets, their own licenses still apply as well.
Thanks to the original VieNeu-TTS author and maintainers for the model architecture, training, and upstream assets that this C++ package is built around.
backbone.gguf is only one part of the runtime package..npz files are stored without compression because the current C++ loader expects stored NPZ entries.codec/ directory is required for reference audio encoding and waveform decoding.transformers.AutoModel.6 commits