Moshiko-PyTorch-BF16
| Property | Value |
|---|---|
| Parameter Count | 7.69B |
| License | CC-BY-4.0 |
| Precision | BF16 |
| Language | English |
| Paper | Research Paper |
What is moshiko-pytorch-bf16?
Moshiko-pytorch-bf16 is a cutting-edge speech-text foundation model designed for real-time dialogue applications. It represents a significant advancement in conversational AI, capable of processing and generating both speech and text with remarkably low latency of 160ms theoretical (200ms in practice). This PyTorch implementation features BF16 precision optimization for improved performance and efficiency.
Implementation Details
The model architecture employs a unique approach to spoken dialogue, treating it as speech-to-speech generation while maintaining parallel streams for both user and system speech. It utilizes a neural audio codec with a residual quantizer and implements an "Inner Monologue" method that generates time-aligned text tokens before audio tokens.
- Full-duplex spoken dialogue capability
- Neural audio codec running at 12Hz with 1.1kbps bitrate
- Parallel stream processing for natural conversation flow
- Time-aligned text and audio token generation
Core Capabilities
- Real-time speech-to-speech conversation
- Streaming speech recognition and text-to-speech
- Natural conversational dynamics without explicit turn-taking
- Casual conversation and basic factual responses
- Recipe and trivia information handling
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its ability to maintain full-duplex conversations with extremely low latency, effectively eliminating the need for explicit speaker turns while maintaining natural conversation flow. The Inner Monologue method significantly improves the linguistic quality of generated speech.
Q: What are the recommended use cases?
The model is best suited for casual conversations, providing basic facts and advice, and simple roleplay scenarios. It's important to note that it's intended for research purposes only and should not be used for professional advice or malicious purposes such as impersonation.
