I released Inflect-Nano, an ultra-extreme tiny 4.63m parameter TTS model.
The Inflect-Nano-v1 TTS model has 4.63m parameters, making it the second-smallest publicly released TTS model after TinyTTS. Despite its tiny size, it reportedly performs well for its model weight. The model can run on very low-end hardware, making it suitable for deployment on resource-constrained devices. You can experiment with this model for edge cases where compute is extremely limited.
Key takeaways
- 4.63m parameters, second-smallest public TTS model.
- Runs on very low-end hardware, suitable for resource-constrained devices.
- Not state-of-the-art, but functional for its size.
The Inflect-Nano-v1 TTS model has 4.63m parameters, making it the second-smallest publicly released TTS model after TinyTTS. Despite its tiny size, it reportedly performs well for its model weight. The model can run on very low-end hardware, making it suitable for deployment on resource-constrained devices. You can experiment with this model for edge cases where compute is extremely limited.
Key takeaways
- 4.63m parameters, second-smallest public TTS model.
- Runs on very low-end hardware, suitable for resource-constrained devices.
- Not state-of-the-art, but functional for its size.