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:

• Original Model Card
• VibeVoice GitHub Repository

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.onnx
• tts_language_model.onnx
• tts_eos_classifier.onnx
• acoustic_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!