Hertz-dev
| Property | Value |
|---|---|
| Parameter Count | 8.5B |
| License | Apache-2.0 |
| Model Type | Audio-to-Audio Transformer |
| Latency | 120ms (RTX 4090) |
What is hertz-dev?
Hertz-dev represents a groundbreaking advancement in conversational audio AI, being the first-of-its-kind base model specifically designed for full-duplex conversational audio processing. This 8.5B parameter transformer model has been trained on an unprecedented 20 million unique hours of high-quality audio data, setting new standards for natural speech interaction.
Implementation Details
The model is built on a transformer architecture optimized for both mono and full-duplex audio generation. It achieves a remarkable 120ms real-world latency on an RTX 4090, which is 1.5-2x faster than previous state-of-the-art solutions. The theoretical average latency is even lower at 80ms, making it ideal for real-time applications.
- Supports both mono and full-duplex generation
- Implements flash attention for optimal performance
- Compatible with Python 3.10 and CUDA 12.1
- Includes experimental live microphone interaction capabilities
Core Capabilities
- State-of-the-art modeling of human-like speech patterns
- Accurate representation of pauses and emotional inflections
- Flexible fine-tuning potential for various audio tasks
- Real-time audio processing with minimal latency
- Support for live translation and classification tasks
Frequently Asked Questions
Q: What makes this model unique?
Hertz-dev stands out for its unprecedented combination of low latency, high-quality audio processing, and full-duplex capabilities. It's trained on the world's largest known dataset of high-quality conversational audio, enabling natural speech patterns and emotional nuances.
Q: What are the recommended use cases?
As a base model, Hertz-dev can be fine-tuned for various audio modeling tasks including live translation, classification, and conversational AI applications. It's particularly suitable for applications requiring natural-sounding speech with low latency requirements.
