prince-canuma/Kokoro-82M
text-to-speech model by prince-canuma
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Model card & documentation
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Kokoro is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers comparable quality to larger models while being significantly faster and more cost-efficient. With Apache-licensed weights, Kokoro can be deployed anywhere from production environments to personal projects. ⬆️ Kokoro has been upgraded to v1.0! See Releases. ✨ You can now pip install kokoro! See Usage. pip install kokoro installs the inference library at https://github.com/hexgrad/kokoro You can run this cell on Google Colab. Listen to samples. Under the hood, kokoro uses misaki, a G2P library at https://github.com/hexgrad/misaki Architecture: Architected by: Li et al @ https://github.com/yl4579/StyleTTS2 Trained by: @rzvzn on Discord Languages: American English, British English,…
Read the full model card ↗ · Preview checked 2026-10-04T06:42:42.695Z
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Model overview
prince-canuma/Kokoro-82M is a text-to-speech model repository published by prince-canuma on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-speech
- Library
- Not reported
- Recent downloads (30 days)
- 9,777
- Cumulative likes
- 5
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-02-26T23:24:46.000Z
- Last modified
- 2026-01-05T23:18:37.000Z
Compatibility and lineage
Reported languages: en
Reported base models: yl4579/StyleTTS2-LJSpeech
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-04T06:40:41.996Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.