Text-to-Speech
Transformers
ONNX
GGUF
Chinese
English
voice-dialogue
speech-recognition
large-language-model
asr
tts
llm
chinese
english
real-time
conversational
Instructions to use MoYoYoTech/VoiceDialogue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MoYoYoTech/VoiceDialogue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="MoYoYoTech/VoiceDialogue") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MoYoYoTech/VoiceDialogue", dtype="auto") - llama-cpp-python
How to use MoYoYoTech/VoiceDialogue with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="MoYoYoTech/VoiceDialogue", filename="assets/models/llm/qwen/Qwen3-8B-Q6_K.gguf", )
llm.create_chat_completion( messages = "\"The answer to the universe is 42\"" )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use MoYoYoTech/VoiceDialogue with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf MoYoYoTech/VoiceDialogue:Q6_K # Run inference directly in the terminal: llama-cli -hf MoYoYoTech/VoiceDialogue:Q6_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf MoYoYoTech/VoiceDialogue:Q6_K # Run inference directly in the terminal: llama-cli -hf MoYoYoTech/VoiceDialogue:Q6_K
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 MoYoYoTech/VoiceDialogue:Q6_K # Run inference directly in the terminal: ./llama-cli -hf MoYoYoTech/VoiceDialogue:Q6_K
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 MoYoYoTech/VoiceDialogue:Q6_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf MoYoYoTech/VoiceDialogue:Q6_K
Use Docker
docker model run hf.co/MoYoYoTech/VoiceDialogue:Q6_K
- LM Studio
- Jan
- Ollama
How to use MoYoYoTech/VoiceDialogue with Ollama:
ollama run hf.co/MoYoYoTech/VoiceDialogue:Q6_K
- Unsloth Studio new
How to use MoYoYoTech/VoiceDialogue 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 MoYoYoTech/VoiceDialogue 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 MoYoYoTech/VoiceDialogue to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MoYoYoTech/VoiceDialogue to start chatting
- Pi new
How to use MoYoYoTech/VoiceDialogue with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf MoYoYoTech/VoiceDialogue:Q6_K
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "MoYoYoTech/VoiceDialogue:Q6_K" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use MoYoYoTech/VoiceDialogue with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf MoYoYoTech/VoiceDialogue:Q6_K
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default MoYoYoTech/VoiceDialogue:Q6_K
Run Hermes
hermes
- Docker Model Runner
How to use MoYoYoTech/VoiceDialogue with Docker Model Runner:
docker model run hf.co/MoYoYoTech/VoiceDialogue:Q6_K
- Lemonade
How to use MoYoYoTech/VoiceDialogue with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MoYoYoTech/VoiceDialogue:Q6_K
Run and chat with the model
lemonade run user.VoiceDialogue-Q6_K
List all available models
lemonade list
liumaolin
Add `--disable-echo-cancellation` CLI option and update audio pipeline to support toggling echo cancellation and VAD
4e071d3 | import multiprocessing | |
| import os | |
| import sys | |
| import typing | |
| from pathlib import Path | |
| if __name__ == '__main__': | |
| if hasattr(sys, '_voice_dialogue_started'): | |
| sys.exit(0) | |
| sys._voice_dialogue_started = True | |
| # 设置multiprocessing启动方法为spawn,避免fork问题 | |
| if hasattr(multiprocessing, 'set_start_method'): | |
| try: | |
| multiprocessing.set_start_method('spawn', force=True) | |
| except RuntimeError: | |
| pass | |
| # Pyinstaller 多进程支持 | |
| multiprocessing.freeze_support() | |
| # 禁用各种可能导致多进程问题的并行处理 | |
| os.environ.update({ | |
| "TOKENIZERS_PARALLELISM": "false", | |
| # "OMP_NUM_THREADS": "1", | |
| # "MKL_NUM_THREADS": "1", | |
| # "NUMEXPR_NUM_THREADS": "1", | |
| # "OPENBLAS_NUM_THREADS": "1", | |
| # "VECLIB_MAXIMUM_THREADS": "1", | |
| # "BLIS_NUM_THREADS": "1", | |
| # # 禁用huggingface的多进程 | |
| # "HF_HUB_DISABLE_PROGRESS_BARS": "1", | |
| # "TRANSFORMERS_NO_ADVISORY_WARNINGS": "1", | |
| # # 禁用torch的多进程 | |
| # "TORCH_NUM_THREADS": "1", | |
| # "PYTORCH_JIT": "0", | |
| # # 禁用joblib的loky后端,使用threading | |
| # "JOBLIB_START_METHOD": "threading", | |
| # "SKLEARN_JOBLIB_START_METHOD": "threading", | |
| }) | |
| HERE = Path(__file__).parent | |
| lib_path = HERE / "src" | |
| if lib_path.exists() and lib_path.as_posix() not in sys.path: | |
| sys.path.insert(0, lib_path.as_posix()) | |
| from voice_dialogue.core.launcher import launch_system | |
| from voice_dialogue.core.constants import set_debug_mode | |
| from voice_dialogue.cli.args import create_argument_parser | |
| from voice_dialogue.api.server import launch_api_server | |
| language: typing.Literal['zh', 'en'] = 'en' | |
| def main(): | |
| """ | |
| 主程序入口函数 | |
| 根据命令行参数选择启动模式: | |
| - cli: 启动命令行语音对话系统 | |
| - api: 启动HTTP API服务器 | |
| """ | |
| parser = create_argument_parser() | |
| args = parser.parse_args() | |
| set_debug_mode(args.debug) | |
| print(f""" | |
| {"=" * 80} | |
| VoiceDialogue - 语音对话系统 | |
| {"=" * 80} | |
| 运行模式: {args.mode.upper()} | |
| 调试模式: {'启用' if args.debug else '禁用'} | |
| {"=" * 80} | |
| """) | |
| try: | |
| if args.mode == 'cli': | |
| print(f"语言设置: {args.language}") | |
| print(f"说话人: {args.speaker}") | |
| print("正在启动命令行语音对话系统...") | |
| launch_system(args.language, args.speaker, args.disable_echo_cancellation) | |
| elif args.mode == 'api': | |
| launch_api_server( | |
| host=args.host, | |
| port=args.port, | |
| reload=args.reload | |
| ) | |
| except KeyboardInterrupt: | |
| print("\n程序被用户中断") | |
| except Exception as e: | |
| print(f"程序运行出错: {e}") | |
| raise | |
| if __name__ == '__main__': | |
| main() | |