Pakorn2112/Orpheus-TTS-hmong-3b

🗣️ Hmong TTS — Orpheus‑3B version 2 best hmong TTS (Text to Speech) (Fine‑Tuned) | LocalVoice.org

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license: apache-2.0

Hmong Text‑To‑Speech (TTS) model fine‑tuned from Orpheus‑3B‑TTS, optimized with Unsloth + SNAC codec. Built by LocalVoice.org to support Hmong language technology.

🙏 Special thanks to ThaiSC & HPC Ignite Program for HPC resources.

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🌟 Model Highlights

• ⚙️ Base Model: Orpheus‑3B TTS
• 🔉 Codec: SNAC 24kHz (hubertsiuzdak/snac_24khz)
• 🌍 Language: Hmong (Hmoob / Hmong Daw)
• 🧠 Finetuned using Unsloth PEFT LoRA
• 🎙️ Supports emotion tags: <giggle>, <laugh>, <sigh>, <cough>, <sniffle>, <groan>, <yawn>, <gasp>
• 🎭 Optional multi‑speaker prompt prefix
• ⚡ Real‑time inference on a single GPU

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🧪 Quick Inference Example

🚀 Start in Colab

import torch
from unsloth import FastLanguageModel

MODEL_PATH = "Pakorn2112/Orpheus-TTS-hmong-3b"

model, tokenizer = FastLanguageModel.from_pretrained(
    model_name = MODEL_PATH,
    max_seq_length = 2048, # Choose any for long context!
    dtype = None, # Select None for auto detection
    load_in_4bit = False, # Select True for 4bit which reduces memory usage
    # token = "YOUR_HF_TOKEN", # HF Token for gated models
)

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💡 Tips for Best Quality

• Use 24kHz mono WAV recordings
• Trim silence and remove heavy noise
• Keep clips 1‑8 seconds long per utterance
• Use clear, natural speaking tone
• Add optional emotion tokens for expressive voices

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📄 License

apache-2.0

This model is released publicly for research & educational use. Commercial applications may require dataset rights & additional review.

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🤝 Credits

• Hmong TTS Model: LocalVoice.org
• HPC Support: ThaiSC Supercomputer (LANTA) — HPC Ignite Program
• SNAC Codec Team: hubertsiuzdak (24kHz codec)
• Fine‑Tuning Framework: Unsloth

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☕ Support the Project

If this model helped your project and you'd like to support future development, consider buying me a coffee.

Your support helps improve Hmong speech technology, collect better datasets, and release more open-source models for the community.

Thank you for supporting open-source Hmong AI! 🖤💚💙

🎉 Thank you for supporting Hmong language technology! 🖤💚💙