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Luigi
/
PrimeTTS

Text-to-Speech
ONNX
GGUF
Chinese
English
onnxruntime
tts
on-device
jetson
telephony
vits
mb-istft-vits
multi-speaker
mandarin
taiwanese-mandarin
imatrix
conversational
Model card Files Files and versions
xet
Community

Instructions to use Luigi/PrimeTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use Luigi/PrimeTTS with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="Luigi/PrimeTTS",
    	filename="streaming_llm/gemma270m_it_q8.gguf",
    )
    
    llm.create_chat_completion(
    	messages = "\"The answer to the universe is 42\""
    )
  • 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
PrimeTTS / v1b_8k
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Luigi's picture
Luigi
v1b7: rare-char/brand/email booster retrain - beats v1b6 on rare-char+general+onset (user-approved)
075a6fd verified 9 days ago
  • acoustic_decoder.onnx
    8.54 MB
    xet
    v1b7: rare-char/brand/email booster retrain - beats v1b6 on rare-char+general+onset (user-approved) 9 days ago
  • acoustic_encoder.onnx
    5.78 MB
    xet
    v1b7: rare-char/brand/email booster retrain - beats v1b6 on rare-char+general+onset (user-approved) 9 days ago
  • inflect_combined_v1b.gguf
    8.52 MB
    xet
    Add v1b Nano deployment artifact inflect_combined_v1b.gguf 10 days ago
  • meta.json
    162 Bytes
    Add v1b 8k bundle (v1b3 acoustic w/ frame_pitch_refiner + snake_8k_lite vocoder); ONNX parity corr=1.0, zipformer CER 0.064 10 days ago
  • vocoder.onnx
    2.24 MB
    xet
    Add v1b 8k bundle (v1b3 acoustic w/ frame_pitch_refiner + snake_8k_lite vocoder); ONNX parity corr=1.0, zipformer CER 0.064 10 days ago