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kokoro-npu-quantized
magicunicorn/kokoro-npu-quantized
kokoro-npu-quantized is a text-to-speech model from magicunicorn. Use it when you need text read aloud. It is set up for onnx. The card lists the license as apache-2.0.
Access
Public
Updated Jul 10, 2025
Repo size
334 MB
Likes
3
Public
Repo makeup
Click a slice to open those files.
.md5.8 KB · 75%
At a glance
- Task
- Text-to-Speech
- Library
- onnx
- License
- apache-2.0
- Access
- Public
- Created
- Jul 7, 2025
- Updated
- Jul 10, 2025
- SHA
- ac383fd9
Model card
From the Hugging Face model README
🎵 Kokoro NPU Quantized TTS Models
🎵 NPU-Optimized Text-to-Speech Models
NPU-optimized text-to-speech models for AMD Ryzen AI hardware.
Models Included
- kokoro-npu-quantized-int8.onnx (121.9 MB) - INT8 quantized for NPU
- kokoro-npu-fp16.onnx (169.8 MB) - FP16 for quality
- voices-v1.0.bin (26.9 MB) - Voice embeddings
Hardware Requirements
- NPU: NPU Phoenix
- Memory: 1GB+ available
- Framework: Unicorn Execution Engine
Quick Start
from unicorn_execution_engine import UnicornTTS
# Initialize NPU-accelerated TTS
tts = UnicornTTS(model="kokoro-npu-quantized")
# Generate speech with NPU acceleration
audio = tts.synthesize("Hello, this is NPU-accelerated speech!")
🎵 NPU-Accelerated Text-to-Speech
⚡ Powered by Unicorn Execution Engine
- Task
- Text-to-Speech
- Library
- onnx
- License
- apache-2.0
- Languages
- en
- Created
- Jul 7, 2025
- Updated
- Jul 10, 2025