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 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

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-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 23, 2025

Commit

7e92ad3

1 Parent(s): b2c10c8

Add Maple and Cove voice models to MoYoYo TTS configuration

Browse files

- Introduce two new voice models: Maple (轻松坦率) and Cove (沉稳直率).
- Configure model repositories, parameters, and corresponding inference settings.
- Add associated model files, including GPT weights, SoVITS weights, and reference audios.

Files changed (6) hide show

assets/models/tts/moyoyo/GPT_weights/maple_best_gpt.ckpt +3 -0
assets/models/tts/moyoyo/SoVITS_weights/cove_best_sovits.pth +3 -0
assets/models/tts/moyoyo/SoVITS_weights/maple_best_sovits.pth +3 -0
assets/models/tts/moyoyo/ref_audios/cove_ref.wav +3 -0
assets/models/tts/moyoyo/ref_audios/maple_ref.wav +3 -0
src/voice_dialogue/services/audio/generators/configs/moyoyo.py +58 -0

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assets/models/tts/moyoyo/SoVITS_weights/cove_best_sovits.pth ADDED Viewed

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assets/models/tts/moyoyo/SoVITS_weights/maple_best_sovits.pth ADDED Viewed

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assets/models/tts/moyoyo/ref_audios/cove_ref.wav ADDED Viewed

	@@ -0,0 +1,3 @@

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+size 479404

assets/models/tts/moyoyo/ref_audios/maple_ref.wav ADDED Viewed

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+size 422444

src/voice_dialogue/services/audio/generators/configs/moyoyo.py CHANGED Viewed

@@ -189,6 +189,64 @@ MOYOYO_TTS_CONFIGS = [
             'seed': 233333,
         },
     },
 ]

             'seed': 233333,
         },
     },
+    {
+        'repository': 'MoYoYoTech/tone-models',
+        'character_name': 'Maple',
+        'cover_image': '',
+        'description': '轻松坦率',
+        'file_size': '241M',
+        'is_chinese_voice': False,
+        'model_files': {
+            **BASE_PRETRAINED_FILES,
+            'gpt-weights': 'GPT_weights/maple_best_gpt.ckpt',
+            'sovits-weights': 'SoVITS_weights/maple_best_sovits.pth',
+            'reference_audio': 'ref_audios/maple_ref.wav',
+        },
+        'inference_parameters': {
+            'text_lang': "en",
+            'prompt_text': "There was a little tea shop in a bustling village. Every morning, the owner, an elderly woman, would wake up early.",
+            'prompt_lang': "en",
+            'top_k': 5,
+            'top_p': 1,
+            'temperature': 1,
+            'text_split_method': "cut4",
+            'batch_size': 100,
+            'speed_factor': 1.0,
+            'split_bucket': True,
+            'return_fragment': False,
+            'fragment_interval': 0.07,
+            'seed': 233333,
+        },
+    },
+    {
+        'repository': 'MoYoYoTech/tone-models',
+        'character_name': 'Cove',
+        'cover_image': '',
+        'description': '沉稳直率',
+        'file_size': '241M',
+        'is_chinese_voice': False,
+        'model_files': {
+            **BASE_PRETRAINED_FILES,
+            'gpt-weights': 'GPT_weights/maple_best_gpt.ckpt',
+            'sovits-weights': 'SoVITS_weights/cove_best_sovits.pth',
+            'reference_audio': 'ref_audios/cove_ref.wav',
+        },
+        'inference_parameters': {
+            'text_lang': "en",
+            'prompt_text': "and he has a long career in the Senate representing Delaware. So both have had significant impacts on American politics and policies.",
+            'prompt_lang': "en",
+            'top_k': 5,
+            'top_p': 1,
+            'temperature': 1,
+            'text_split_method': "cut4",
+            'batch_size': 100,
+            'speed_factor': 1.0,
+            'split_bucket': True,
+            'return_fragment': False,
+            'fragment_interval': 0.07,
+            'seed': 233333,
+        },
+    },
 ]