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

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

Commit History

Jun 10

20:02
Add audio output device (speaker) selection⁠

hzeng412 +1: Claude Fable 5

a3bf559

Jun 9

19:48
Add external mic array support, UI i18n, glass settings redesign, and fixes⁠

hzeng412 +1: Claude Opus 4.8 (1M context)

afd6c89

Jul 24, 2025

08:41
refactor(core): Architecturally decouple Audio, ASR, and TTS modules⁠

liumaolin

60f8238

Jul 23, 2025

07:58
简化LLM模型路径管理。

liumaolin

2baeba2

Jul 14, 2025

02:49
更新LLM模型参数，调整top_p值为0.8，并添加max_tokens参数，设置为32768。

liumaolin

c531bfc
02:40
更新用户配置文件，修复logger导入路径以确保正确加载日志记录功能。

liumaolin

bbf79f2

Jul 10, 2025

08:41
缓存user_prompts以提高性能

liumaolin

d12af4f
08:37
调整prompt的逻辑，确保展示的提示词中不包含/no_think指令

liumaolin

22a06c4
08:15
添加设置相关的API路由⁠

liumaolin

15ab478
08:00
调整LLM prompt的存放位置

liumaolin

310c0ba

Jul 1, 2025

07:55
Refactor LlamaCpp initialization to simplify parameter handling and remove unused callback manager

liumaolin

941bf07

Jun 23, 2025

03:39
Introduce Apple Silicon hardware optimization and dynamic LLM configuration⁠

liumaolin

bdc3b7b

Jun 12, 2025

01:41
Refactor project: split `main.py` functionality into modular components under `cli`, `core`, and `config`.

liumaolin

d08a15b

Jun 11, 2025

02:09
Update `paths.py`: improve PROJECT_ROOT resolution with `_MEIPASS` support and enhance third-party path handling.

liumaolin

664d767

Jun 10, 2025

08:57
Rename 'src/VoiceDialogue' to 'src/voice_dialogue'.

liumaolin

511ff0c

Commit History

Jun 10

Add audio output device (speaker) selection⁠

Jun 9

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

Jul 24, 2025

refactor(core): Architecturally decouple Audio, ASR, and TTS modules⁠

Jul 23, 2025

简化LLM模型路径管理。

Jul 14, 2025

更新LLM模型参数，调整top_p值为0.8，并添加max_tokens参数，设置为32768。

更新用户配置文件，修复logger导入路径以确保正确加载日志记录功能。

Jul 10, 2025

缓存user_prompts以提高性能

调整prompt的逻辑，确保展示的提示词中不包含/no_think指令

添加设置相关的API路由⁠

调整LLM prompt的存放位置

Jul 1, 2025

Refactor LlamaCpp initialization to simplify parameter handling and remove unused callback manager

Jun 23, 2025

Introduce Apple Silicon hardware optimization and dynamic LLM configuration⁠

Jun 12, 2025

Refactor project: split `main.py` functionality into modular components under `cli`, `core`, and `config`.

Jun 11, 2025

Update `paths.py`: improve PROJECT_ROOT resolution with `_MEIPASS` support and enhance third-party path handling.

Jun 10, 2025

Rename 'src/VoiceDialogue' to 'src/voice_dialogue'.