Text-to-Speech
ONNX
GGUF
Chinese
English
onnxruntime
tts
on-device
jetson
telephony
vits
mb-istft-vits
multi-speaker
mandarin
taiwanese-mandarin
imatrix
conversational
Instructions to use Luigi/PrimeTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Luigi/PrimeTTS with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Luigi/PrimeTTS:F32 # Run inference directly in the terminal: llama cli -hf Luigi/PrimeTTS:F32
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Luigi/PrimeTTS:F32 # Run inference directly in the terminal: llama cli -hf Luigi/PrimeTTS:F32
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Luigi/PrimeTTS:F32 # Run inference directly in the terminal: ./llama-cli -hf Luigi/PrimeTTS:F32
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Luigi/PrimeTTS:F32 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Luigi/PrimeTTS:F32
Use Docker
docker model run hf.co/Luigi/PrimeTTS:F32
- LM Studio
- Jan
- Ollama
How to use Luigi/PrimeTTS with Ollama:
ollama run hf.co/Luigi/PrimeTTS:F32
- Unsloth Studio
How to use Luigi/PrimeTTS with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Luigi/PrimeTTS to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Luigi/PrimeTTS to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Luigi/PrimeTTS to start chatting
- Atomic Chat new
- Docker Model Runner
How to use Luigi/PrimeTTS with Docker Model Runner:
docker model run hf.co/Luigi/PrimeTTS:F32
- Lemonade
How to use Luigi/PrimeTTS with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Luigi/PrimeTTS:F32
Run and chat with the model
lemonade run user.PrimeTTS-F32
List all available models
lemonade list
reproduction: actual VoxCPM2-TW pipeline scripts + master run + eval set
Browse files- eval_big.jsonl +36 -0
eval_big.jsonl
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| 1 |
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{"id": "zb00", "text": "您好,這裡是台灣電力公司客服中心。", "lang": "zh"}
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| 2 |
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{"id": "zb01", "text": "請問您要查詢的訂單編號是多少?", "lang": "zh"}
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| 3 |
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{"id": "zb02", "text": "感謝您的來電,祝您有美好的一天。", "lang": "zh"}
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| 4 |
+
{"id": "zb03", "text": "您的包裹預計明天下午送達,請保持電話暢通。", "lang": "zh"}
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| 5 |
+
{"id": "zb04", "text": "不好意思,目前線路忙線中,請稍後再撥。", "lang": "zh"}
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| 6 |
+
{"id": "zb05", "text": "請問需要為您轉接哪一個部門?", "lang": "zh"}
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| 7 |
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{"id": "zb06", "text": "您的會員點數還有三百五十點。", "lang": "zh"}
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| 8 |
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{"id": "zb07", "text": "本次服務已經完成,再見。", "lang": "zh"}
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| 9 |
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{"id": "zb08", "text": "請問您方便提供您的身分證字號嗎?", "lang": "zh"}
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| 10 |
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{"id": "zb09", "text": "您預約的時間是星期三上午十點。", "lang": "zh"}
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| 11 |
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{"id": "zb10", "text": "系統正在為您處理,請稍候。", "lang": "zh"}
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| 12 |
+
{"id": "zb11", "text": "您的帳單金額是新台幣兩千四百八十元。", "lang": "zh"}
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| 13 |
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{"id": "mb00", "text": "幫您轉接給 Jason 王經理,他的分機是 2580。", "lang": "mix"}
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| 14 |
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{"id": "mb01", "text": "您的 Excel 報表已經寄到信箱,請查收。", "lang": "mix"}
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| 15 |
+
{"id": "mb02", "text": "Kelly 的 Zoom 會議改到下午四點。", "lang": "mix"}
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| 16 |
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{"id": "mb03", "text": "請至 App 首頁點選 Login 重新登入。", "lang": "mix"}
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| 17 |
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{"id": "mb04", "text": "您的 VIP 等級已升級,享有九折優惠。", "lang": "mix"}
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| 18 |
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{"id": "mb05", "text": "技術部的 Daniel 陳工程師稍後回電給您。", "lang": "mix"}
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| 19 |
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{"id": "mb06", "text": "請輸入您的 PIN 碼後按井字鍵確認。", "lang": "mix"}
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| 20 |
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{"id": "mb07", "text": "我們的 LINE 官方帳號是 at pesi tw。", "lang": "mix"}
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| 21 |
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{"id": "mb08", "text": "您的 Wi-Fi 密碼是 Delta 七七二一。", "lang": "mix"}
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| 22 |
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{"id": "mb09", "text": "請填寫這份 Google 表單後送出。", "lang": "mix"}
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| 23 |
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{"id": "mb10", "text": "Sarah 已經把 PDF 檔上傳到雲端了。", "lang": "mix"}
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| 24 |
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{"id": "mb11", "text": "您的 ID 是 A 一二三,密碼稍後簡訊給您。", "lang": "mix"}
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| 25 |
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{"id": "eb00", "text": "Thank you for calling, how may I help you today?", "lang": "en"}
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| 26 |
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{"id": "eb01", "text": "Please hold while I transfer your call to the billing department.", "lang": "en"}
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| 27 |
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{"id": "eb02", "text": "Your appointment is confirmed for Tuesday at ten in the morning.", "lang": "en"}
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| 28 |
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{"id": "eb03", "text": "I am sorry, but that extension is currently busy.", "lang": "en"}
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| 29 |
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{"id": "eb04", "text": "Could you please spell your last name for me?", "lang": "en"}
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| 30 |
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{"id": "eb05", "text": "Your account balance is three hundred and forty dollars.", "lang": "en"}
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| 31 |
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{"id": "eb06", "text": "Press one for English, or press two for Mandarin.", "lang": "en"}
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| 32 |
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{"id": "eb07", "text": "We will send a confirmation message to your phone shortly.", "lang": "en"}
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| 33 |
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{"id": "eb08", "text": "Please stay on the line, your call is important to us.", "lang": "en"}
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| 34 |
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{"id": "eb09", "text": "Can you confirm the last four digits of your card?", "lang": "en"}
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| 35 |
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{"id": "eb10", "text": "The store closes at nine o'clock this evening.", "lang": "en"}
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| 36 |
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{"id": "eb11", "text": "Have a wonderful day, and thank you for your patience.", "lang": "en"}
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