Slim-Orpheus 3B Japanese
Pruned original weights down from 28 -> 16 layers (43% reduction) to speed up inference and reduce memory requirements. Trained in Japanese on 14 voices.
Voices
Below are sample outputs for each voice with quality indicators:
- ⭐⭐⭐ Good quality
- ⭐⭐ Okay quality
- ⭐ Poor quality
- ⚠️ Unstable
Lyney ⭐⭐⭐
Cyno ⭐⭐⭐
Tighnari ⭐⭐⭐
Kaeya ⭐⭐⭐
Neuvillette ⭐⭐⭐
Kaveh ⭐⭐⭐
Dehya ⭐⭐⭐
Yae Miko ⭐⭐⭐
Layla ⭐⭐
Yoimiya ⭐⭐
Alhaitham ⭐⭐
Zhongli ⭐⭐
Furina ⭐
Arataki Itto ⚠️
Limitations
- Japanese Only: This model was trained specifically for Japanese language and cannot speak English or other languages
- No Emote Support: Not trained on emotes/emotional cues like , , etc. that were available in the original model
- Reduced Parameter Count: While offering faster inference, the reduction from 28 to 16 layers may impact some of the nuanced capabilities of the original Orpheus model
- Voice Quality Varies: As noted in the voice quality ratings, some voices perform better than others
Orpheus-TTS Model Details:
Code is available on GitHub: CanopyAI/Orpheus-TTS
Orpheus TTS is a state-of-the-art, Llama-based Speech-LLM designed for high-quality, empathetic text-to-speech generation. This model has been finetuned to deliver human-level speech synthesis, achieving exceptional clarity, expressiveness, and real-time streaming performances.
Model Details
Model Capabilities
- Human-Like Speech: Natural intonation, emotion, and rhythm that is superior to SOTA closed source models
- Low Latency: ~200ms streaming latency for realtime applications, reducible to ~100ms with input streaming
Original Model Sources
- GitHub Repo: https://github.com/canopyai/Orpheus-TTS
Usage
Check out the Orpheus Colab: (link to Colab) or GitHub (link to GitHub) on how to run easy inference on our finetuned models.
Model Misuse
Do not use our models for impersonation without consent, misinformation or deception (including fake news or fraudulent calls), or any illegal or harmful activity. By using this model, you agree to follow all applicable laws and ethical guidelines. We disclaim responsibility for any use.
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