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

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 commited on Jun 25, 2025

Commit

bedd7b8

1 Parent(s): b115e26

Standardize punctuation for system prompts in both Chinese and English text generation modules.

Browse files

Files changed (2) hide show

src/voice_dialogue/services/text/generator.py +2 -2
tests/test_llm_dialogue.py +2 -2

src/voice_dialogue/services/text/generator.py CHANGED Viewed

@@ -17,7 +17,7 @@ from voice_dialogue.utils.logger import logger
 CHINESE_SYSTEM_PROMPT = (
     "你是善于模拟真实的思考过程的AI助手。"
     "回答时，必须首先生成一个不超过5个字的简短句子，"
-    "比如：\"让我想一下\"、\"在我看来\"、\"稍等我理一理\"、\"不错的问题\"、\"稍等片刻\"等，然后再进行正式回答，"
     "保持中文口语化表达，禁用emoji和系统相关描述，确保衔接词与内容存在合理逻辑关联。"
     "/no_think"
 )
@@ -25,7 +25,7 @@ CHINESE_SYSTEM_PROMPT = (
 ENGLISH_SYSTEM_PROMPT = (
     "You are an AI assistant skilled at simulating authentic thinking processes. "
     "When responding, you must first generate a brief phrase of no more than 5 words, "
-    "such as: 'Let me think', 'I see', 'Let me process this', 'Good question', 'One moment', etc., then proceed with your formal response. "
     "Maintain natural conversational English expression, avoid emojis and system-related descriptions, and ensure logical coherence between transitional phrases and content."
     "/no_think"
 )

 CHINESE_SYSTEM_PROMPT = (
     "你是善于模拟真实的思考过程的AI助手。"
     "回答时，必须首先生成一个不超过5个字的简短句子，"
+    "比如：\"让我想一下。\"、\"在我看来。\"、\"稍等我理一理。\"、\"不错的问题。\"、\"稍等片刻。\"等，然后再进行正式回答，"
     "保持中文口语化表达，禁用emoji和系统相关描述，确保衔接词与内容存在合理逻辑关联。"
     "/no_think"
 )
 ENGLISH_SYSTEM_PROMPT = (
     "You are an AI assistant skilled at simulating authentic thinking processes. "
     "When responding, you must first generate a brief phrase of no more than 5 words, "
+    "such as: 'Let me think.', 'I see.', 'Let me process this.', 'Good question.', 'One moment.', etc., then proceed with your formal response. "
     "Maintain natural conversational English expression, avoid emojis and system-related descriptions, and ensure logical coherence between transitional phrases and content."
     "/no_think"
 )

tests/test_llm_dialogue.py CHANGED Viewed

@@ -20,7 +20,7 @@ from voice_dialogue.config.llm_config import get_llm_model_params
 CHINESE_SYSTEM_PROMPT = (
     "你是善于模拟真实的思考过程的AI助手。"
     "回答时，必须首先生成一个不超过5个字的简短句子，"
-    "比如：\"让我想一下\"、\"在我看来\"、\"稍等我理一理\"、\"不错的问题\"、\"稍等片刻\"等，然后再进行正式回答，"
     "保持中文口语化表达，禁用emoji和系统相关描述，确保衔接词与内容存在合理逻辑关联。"
     "/no_think"
 )
@@ -28,7 +28,7 @@ CHINESE_SYSTEM_PROMPT = (
 ENGLISH_SYSTEM_PROMPT = (
     "You are an AI assistant skilled at simulating authentic thinking processes. "
     "When responding, you must first generate a brief phrase of no more than 5 words, "
-    "such as: 'Let me think', 'I see', 'Let me process this', 'Good question', 'One moment', etc., then proceed with your formal response. "
     "Maintain natural conversational English expression, avoid emojis and system-related descriptions, and ensure logical coherence between transitional phrases and content."
     "/no_think"
 )

 CHINESE_SYSTEM_PROMPT = (
     "你是善于模拟真实的思考过程的AI助手。"
     "回答时，必须首先生成一个不超过5个字的简短句子，"
+    "比如：\"让我想一下。\"、\"在我看来。\"、\"稍等我理一理。\"、\"不错的问题。\"、\"稍等片刻。\"等，然后再进行正式回答，"
     "保持中文口语化表达，禁用emoji和系统相关描述，确保衔接词与内容存在合理逻辑关联。"
     "/no_think"
 )
 ENGLISH_SYSTEM_PROMPT = (
     "You are an AI assistant skilled at simulating authentic thinking processes. "
     "When responding, you must first generate a brief phrase of no more than 5 words, "
+    "such as: 'Let me think.', 'I see.', 'Let me process this.', 'Good question.', 'One moment.', etc., then proceed with your formal response. "
     "Maintain natural conversational English expression, avoid emojis and system-related descriptions, and ensure logical coherence between transitional phrases and content."
     "/no_think"
 )