iamvaar/vibevoice-realtime-0.5b-onnx
By iamvaar · ↓ 0 · ♥ 0 · Updated 2026-02-22
What's in this repo
This page lists the files in iamvaar/vibevoice-realtime-0.5b-onnx, including acoustic_tokenizer.onnx, language_model.onnx, tts_eos_classifier.onnx and more.
- 4 ONNX models (.onnx files)
- 13 files, including 4 .onnx, 4 .data, 2 .bin, 1 .md, 1 .json
- Last updated 2026-02-22
ONNX files
| File | Size | Download |
|---|---|---|
| acoustic_tokenizer.onnx | — | Download |
| language_model.onnx | — | Download |
| tts_eos_classifier.onnx | — | Download |
| tts_language_model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
VibeVoice-Realtime-0.5B (ONNX Export)
This repository contains an ONNX-exported version of the microsoft/VibeVoice-Realtime-0.5B model.
This export was manually created to allow cross-platform inference in environments like ONNX Runtime Web (JavaScript) and Flutter (Dart).
🏆 Credits
All credit for the original model architecture, training, and base weights goes to the Microsoft VibeVoice Team. Please see their original repository for full details and research:
The original weights and software are licensed under the MIT License.
📦 What's included?
Due to the streaming nature of VibeVoice, the ONNX export is modularized into the following specific components (with accompanying .data files for external weights):
language_model.onnxtts_language_model.onnxtts_eos_classifier.onnxacoustic_tokenizer.onnx
Note: The ir_version for these models has been set to 9 to natively support standard Flutter onnxruntime bindings.
🚀 Usage
These models are optimized for ONNX Runtime. They can be loaded directly into client-side applications instead of maintaining heavy PyTorch backends. Check the corresponding JS and Flutter demo applications for integration guidance!
Model info
Created: 2026-02-22
Updated: 2026-02-22
View on Hugging FaceFiles (13)
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