Piper TTS - Japanese (Kokoro) is a compact text-to-speech model developed by Rhasspy, designed to generate natural-sounding Japanese speech from written text. With only 0.02 billion parameters, this model is exceptionally lightweight, making it highly efficient for devices with limited computational resources. Despite its small size, Piper TTS - Japanese (Kokoro) delivers surprisingly high-quality audio output, characterized by clear and smooth intonation that closely mimics human speech. This makes it particularly suitable for applications where real-time performance is crucial, such as voice assistants, automated announcements, and interactive kiosks.
In its size class, Piper TTS - Japanese (Kokoro) stands out for its efficiency and performance. It punches well above its weight, offering a balance between resource consumption and output quality that is hard to match by larger models. The model's low VRAM requirement of just 0.1 GB means it can run smoothly on a wide range of hardware, from Raspberry Pis to older laptops. This accessibility makes it an excellent choice for developers and hobbyists looking to integrate high-quality Japanese TTS into their projects without the need for powerful or expensive hardware. Whether you're building a personal assistant or enhancing an educational app, Piper TTS - Japanese (Kokoro) is a reliable and efficient solution.
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| ONNX | 16 | 0.063 GB | 0.15 GB | 0.3 GB | 80% |
How to run Piper TTS - Japanese (Kokoro)
Pick a runtime — copy & paste. Commands are pre-filled with this model’s repo.
Fast on-device neural TTS. Single binary, ONNX runtime.
Piper home →- 1
Install
brew install piper # macOS — or grab the binary from GitHub releases - 2
Synthesize
echo "Hello from Piper" | piper --model piper-tts-ja-kokoro.onnx --output_file out.wav
Community benchmarks
Real tokens/sec reports from people running Piper TTS - Japanese (Kokoro) on actual hardware.
No community runs yet for this model. Be the first to submit your numbers.
how much VRAM do I need to run Piper TTS - Japanese (Kokoro)?
Piper TTS - Japanese (Kokoro) requires 0.15 GB VRAM minimum with ONNX quantization. For full precision you need 0.15 GB.
which quant should I pick?
Q4_K_M is the best quality/VRAM balance — ~92% of FP16 quality at ~25% the footprint. Q8_0 is near-lossless if you have the headroom.
What GPU do I need to run Piper TTS - Japanese (Kokoro)?
Piper TTS - Japanese (Kokoro) requires minimal GPU resources, with as little as 0.1 GB of VRAM. Most modern GPUs will suffice, but a dedicated GPU is recommended for optimal performance.
Is Piper TTS - Japanese (Kokoro) good for coding?
Piper TTS - Japanese (Kokoro) is primarily designed for text-to-speech applications, not coding. However, it can be useful for generating spoken feedback or voice commands in coding-related projects.
Piper TTS - Japanese (Kokoro) vs Llama 3.1 8B?
Piper TTS - Japanese (Kokoro) is a lightweight TTS model with only 0.02B parameters, making it highly efficient. In contrast, Llama 3.1 8B is a much larger language model, suitable for more complex tasks but requiring significantly more resources.
Can I run Piper TTS - Japanese (Kokoro) on a Mac?
Yes, you can run Piper TTS - Japanese (Kokoro) on a Mac. Ensure your system meets the minimum requirements and consider using a compatible framework or library for integration.
How much VRAM does Piper TTS - Japanese (Kokoro) need?
Piper TTS - Japanese (Kokoro) requires only 0.1 GB of VRAM, making it very lightweight and suitable for systems with limited graphics memory.
Is Piper TTS - Japanese (Kokoro) censored?
Piper TTS - Japanese (Kokoro) is not inherently censored. However, the content generated by the model is subject to the input text and any filters or restrictions you apply during implementation.
Is Piper TTS - Japanese (Kokoro) commercial-use allowed?
Yes, Piper TTS - Japanese (Kokoro) is licensed under the MIT License, which allows for commercial use without additional fees or restrictions.
Piper TTS - Japanese (Kokoro) context length?
The context length for Piper TTS - Japanese (Kokoro) is currently unknown. However, as a TTS model, it typically processes text in smaller segments rather than maintaining a long context.
Does Piper TTS - Japanese (Kokoro) support function calling?
Piper TTS - Japanese (Kokoro) is a text-to-speech model and does not support function calling. It is designed to convert text into speech, not to execute functions or scripts.
Piper TTS - Japanese (Kokoro) quantization options?
Piper TTS - Japanese (Kokoro) supports quantization, which can reduce the model size and improve inference speed. Common quantization options include INT8 and FP16.
Can Piper TTS - Japanese (Kokoro) run on CPU?
Yes, Piper TTS - Japanese (Kokoro) can run on CPU, although GPU acceleration will provide better performance due to the model's lightweight nature.
Piper TTS - Japanese (Kokoro) fine-tuning?
Piper TTS - Japanese (Kokoro) can be fine-tuned to improve its performance on specific tasks or datasets. Fine-tuning may require additional data and computational resources.
Piper TTS - Japanese (Kokoro) system requirements?
Piper TTS - Japanese (Kokoro) has minimal system requirements: at least 0.1 GB of VRAM, a modern CPU, and sufficient RAM to handle the model and input data.
Piper TTS - Japanese (Kokoro) performance benchmark?
Performance benchmarks for Piper TTS - Japanese (Kokoro) vary based on hardware, but it generally processes text quickly, often achieving real-time or near-real-time speech synthesis on modern systems.
Piper TTS - Japanese (Kokoro) for RAG?
Piper TTS - Japanese (Kokoro) is not designed for Retrieval-Augmented Generation (RAG). It is a TTS model focused on converting text to speech, not on generating or retrieving information.
Piper TTS - Japanese (Kokoro) for agents?
Piper TTS - Japanese (Kokoro) can be used in virtual agents or chatbots to provide natural-sounding Japanese speech output, enhancing user interaction and engagement.
Piper TTS - Japanese (Kokoro) for coding vs general?
Piper TTS - Japanese (Kokoro) is more suited for general TTS applications rather than coding-specific tasks. Its primary strength lies in generating high-quality Japanese speech from text.
Piper TTS - Japanese (Kokoro) vs ChatGPT?
Piper TTS - Japanese (Kokoro) is a TTS model focused on converting text to speech, while ChatGPT is a large language model designed for generating text. They serve different purposes and are not directly comparable.
Piper TTS - Japanese (Kokoro) download size?
The download size for Piper TTS - Japanese (Kokoro) is relatively small, typically around 10-20 MB, depending on the quantization level and format.
Best quant for Piper TTS - Japanese (Kokoro)?
The best quantization for Piper TTS - Japanese (Kokoro) depends on your specific needs. INT8 quantization offers a good balance between model size and performance, while FP16 provides higher accuracy with slightly larger size.