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

Libraries

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")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("MoYoYoTech/VoiceDialogue", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use MoYoYoTech/VoiceDialogue 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 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 serve -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

Llama new
LM Studio
Jan
Ollama
How to use MoYoYoTech/VoiceDialogue with Ollama:
```
ollama run hf.co/MoYoYoTech/VoiceDialogue:Q6_K
```
Unsloth Desktop

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 serve -hf MoYoYoTech/VoiceDialogue:Q6_K

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/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

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

Hermes Agent

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 serve -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

Atomic Chat

OpenClaw

How to use MoYoYoTech/VoiceDialogue with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf MoYoYoTech/VoiceDialogue:Q6_K

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "MoYoYoTech/VoiceDialogue:Q6_K" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

VoiceDialogue / src /voice_dialogue /config /paths.py

hzeng412

Claude Opus 4.8 (1M context)

Add external mic array support, UI i18n, glass settings redesign, and fixes

afd6c89 5 months ago

Raw History Blame Contribute Delete

1.67 kB

import os
import sys
from pathlib import Path

# 项目根目录
HERE = Path(__file__).parent
_project_root = getattr(sys, '_MEIPASS', HERE.parent.parent.parent.as_posix())
PROJECT_ROOT = Path(_project_root)

# 资源路径 - 统一到assets目录
ASSETS_PATH = PROJECT_ROOT / "assets"
MODELS_PATH = ASSETS_PATH / "models"

# 具体模型类型路径
ASR_MODELS_PATH = MODELS_PATH / "asr"
TTS_MODELS_PATH = MODELS_PATH / "tts"
LLM_MODELS_PATH = MODELS_PATH / "llm"

# 第三方库路径
THIRD_PARTY_PATH = PROJECT_ROOT / "third_party"

# 其他资源路径
LIBRARIES_PATH = ASSETS_PATH / "libraries"
AUDIO_RESOURCES_PATH = ASSETS_PATH / "audio"

# 前端静态资源路径
FRONTEND_ASSETS_PATH = ASSETS_PATH / "www"


# 用户数据路径 - 根据操作系统选择合适的目录
def get_app_data_path() -> Path:
    """获取应用数据存储路径"""
    app_name = "Voice Dialogue"

    if sys.platform == "darwin":  # macOS
        base_path = Path.home() / "Library" / "Application Support"
    elif sys.platform == "win32":  # Windows
        base_path = Path(os.environ.get("APPDATA", Path.home() / "AppData" / "Roaming"))
    else:  # Linux and others
        base_path = Path.home() / ".config"

    return base_path / app_name


APP_DATA_PATH = get_app_data_path()
if not APP_DATA_PATH.exists():
    APP_DATA_PATH.mkdir(parents=True, exist_ok=True)
USER_PROMPTS_PATH = APP_DATA_PATH / "user_prompts.json"
AUDIO_SETTINGS_PATH = APP_DATA_PATH / "audio_settings.json"


def load_third_party():
    # 添加第三方库到 Python 路径
    if THIRD_PARTY_PATH.exists() and str(THIRD_PARTY_PATH) not in sys.path:
        sys.path.insert(0, str(THIRD_PARTY_PATH))

	import os
	import sys
	from pathlib import Path

	# 项目根目录
	HERE = Path(__file__).parent
	_project_root = getattr(sys, '_MEIPASS', HERE.parent.parent.parent.as_posix())
	PROJECT_ROOT = Path(_project_root)

	# 资源路径 - 统一到assets目录
	ASSETS_PATH = PROJECT_ROOT / "assets"
	MODELS_PATH = ASSETS_PATH / "models"

	# 具体模型类型路径
	ASR_MODELS_PATH = MODELS_PATH / "asr"
	TTS_MODELS_PATH = MODELS_PATH / "tts"
	LLM_MODELS_PATH = MODELS_PATH / "llm"

	# 第三方库路径
	THIRD_PARTY_PATH = PROJECT_ROOT / "third_party"

	# 其他资源路径
	LIBRARIES_PATH = ASSETS_PATH / "libraries"
	AUDIO_RESOURCES_PATH = ASSETS_PATH / "audio"

	# 前端静态资源路径
	FRONTEND_ASSETS_PATH = ASSETS_PATH / "www"


	# 用户数据路径 - 根据操作系统选择合适的目录
	def get_app_data_path() -> Path:
	"""获取应用数据存储路径"""
	app_name = "Voice Dialogue"

	if sys.platform == "darwin": # macOS
	base_path = Path.home() / "Library" / "Application Support"
	elif sys.platform == "win32": # Windows
	base_path = Path(os.environ.get("APPDATA", Path.home() / "AppData" / "Roaming"))
	else: # Linux and others
	base_path = Path.home() / ".config"

	return base_path / app_name


	APP_DATA_PATH = get_app_data_path()
	if not APP_DATA_PATH.exists():
	APP_DATA_PATH.mkdir(parents=True, exist_ok=True)
	USER_PROMPTS_PATH = APP_DATA_PATH / "user_prompts.json"
	AUDIO_SETTINGS_PATH = APP_DATA_PATH / "audio_settings.json"


	def load_third_party():
	# 添加第三方库到 Python 路径
	if THIRD_PARTY_PATH.exists() and str(THIRD_PARTY_PATH) not in sys.path:
	sys.path.insert(0, str(THIRD_PARTY_PATH))