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")
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 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 Studio

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

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 @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 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 new
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

hzeng412 Claude Fable 5 commited on 8 days ago

Commit

9dca1cb

1 Parent(s): 040114b

README: drop DMG section (installer not publicly hosted)

Browse files

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

Files changed (1) hide show

README.md +0 -16

README.md CHANGED Viewed

@@ -86,8 +86,6 @@ uv pip install numpy==1.26.4      # 固定 numpy 版本
 ```
 > 📖 需要更详细的步骤？请查阅 [安装指南](docs/installation.md)，其中包含系统要求和常见问题。
->
-> 💡 想免去克隆与下载？直接下载打包好的 **DMG 安装包**（已内置全部模型，完全离线即开即用），见下方[「直接安装（DMG）」](#-直接安装dmg)。
 ### 2. 启动图形界面（推荐）
@@ -125,20 +123,6 @@ python main.py --input-device <设备索引>
 > 详细使用方法请参考 [配置指南](docs/configuration.md) 和 [API 服务指南](docs/api-guide.md)。
-## 💾 直接安装（DMG）
-不想克隆仓库、配置环境的用户，可以直接使用打包好的 **DMG 安装包**：**全部模型已内置（含 Qwen3-ASR），完全离线、即开即用，无需任何下载**。
-- 适用机型：**仅 Apple Silicon（M 系列芯片）**，约 14GB。
-- 安装包请向团队获取（暂未放到公开 Releases）。
-安装步骤：
-1. 双击打开 DMG，将 **Voice Dialogue** 拖入 **Applications**。
-2. 首次打开因安装包**未签名**，会被 macOS 拦截。请**右键点击应用图标 → 选择「打开」**，在弹窗中再次点击「打开」即可（直接双击只会提示“已损坏/无法验证”，属正常现象）。
-   - 也可在 **系统设置 → 隐私与安全性** 中点击「仍要打开」。
-3. 启动后等待模型加载（约 1 分钟），随后浏览器会自动进入对话界面。
 ## 📚 文档导航
 - 📖 **[安装指南](docs/installation.md)**: 详细的安装步骤和系统要求。

 ```
 > 📖 需要更详细的步骤？请查阅 [安装指南](docs/installation.md)，其中包含系统要求和常见问题。
 ### 2. 启动图形界面（推荐）
 > 详细使用方法请参考 [配置指南](docs/configuration.md) 和 [API 服务指南](docs/api-guide.md)。
 ## 📚 文档导航
 - 📖 **[安装指南](docs/installation.md)**: 详细的安装步骤和系统要求。