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

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -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

Commit History

Jun 4, 2025

06:19
Refactor core queue initialization: move queue definitions to `constants.py` and clean up redundant imports in `main.py` for better modularity.

liumaolin

bfefeb3
03:47
Introduce initial API structure for VoiceDialogue: add dependencies, middleware, and routes for ASR, TTS, system, and voice modules.

liumaolin

8f823b0

Jun 3, 2025

09:47
Refactor ASR module: introduce modular structure with ASR interface, implement FunASR and Whisper clients, add registry, and consolidate utility functions for enhanced maintainability and extensibility.

liumaolin

59603db
08:26
Refactor TTS module: rename `tts_manager` to `manager` for consistency across imports and structure.

liumaolin

89f7f05
08:06
Refactor speech processing: add type hint for `_process_active_voice_frame` and replace `max()` with `np.max()` for consistency.

liumaolin

5284873

Jun 1, 2025

10:33
Refactor TTS audio generation: rename queues for clarity, update `TTSAudioGenerator` initialization, and enhance docstrings for better maintainability.

liumaolin

bba0d84
10:18
Refactor TTS architecture: implement runtime interface, TTS manager, universal registry, and factory pattern to support multiple engines.

liumaolin

ef0d09e
07:31
Refactor voice model structure: extract MoYoYo-specific configurations and introduce universal TTS registry.

liumaolin

025ca3f

May 30, 2025

11:30
Remove unused `prompt_semantic` and `reference_spec` configuration parameters from voice model definitions.

liumaolin

2a5dcf2
09:05
Add thread readiness checks and is_ready property across services

liumaolin

e80f558
08:12
Using FunASR quantized model.

liumaolin

ac62229

May 29, 2025

14:19
Add multilingual support and optimize LLM pipeline configuration.

liumaolin

2988b10
07:00
Add descriptions for Chinese voice models.

liumaolin

4643bb2
06:56
Remove unused configuration parameters and conversation templates.

liumaolin

3d953ae

May 28, 2025

10:25
Integrate FunASR service.

liumaolin

516d7b8
07:31
First commit.

liumaolin

7b64dcd

Commit History

Jun 4, 2025

Refactor core queue initialization: move queue definitions to `constants.py` and clean up redundant imports in `main.py` for better modularity.

Introduce initial API structure for VoiceDialogue: add dependencies, middleware, and routes for ASR, TTS, system, and voice modules.

Jun 3, 2025

Refactor ASR module: introduce modular structure with ASR interface, implement FunASR and Whisper clients, add registry, and consolidate utility functions for enhanced maintainability and extensibility.

Refactor TTS module: rename `tts_manager` to `manager` for consistency across imports and structure.

Refactor speech processing: add type hint for `_process_active_voice_frame` and replace `max()` with `np.max()` for consistency.

Jun 1, 2025

Refactor TTS audio generation: rename queues for clarity, update `TTSAudioGenerator` initialization, and enhance docstrings for better maintainability.

Refactor TTS architecture: implement runtime interface, TTS manager, universal registry, and factory pattern to support multiple engines.

Refactor voice model structure: extract MoYoYo-specific configurations and introduce universal TTS registry.

May 30, 2025

Remove unused `prompt_semantic` and `reference_spec` configuration parameters from voice model definitions.

Add thread readiness checks and is_ready property across services

Using FunASR quantized model.

May 29, 2025

Add multilingual support and optimize LLM pipeline configuration.

Add descriptions for Chinese voice models.

Remove unused configuration parameters and conversation templates.

May 28, 2025

Integrate FunASR service.

First commit.