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

liumaolin commited on Jun 6, 2025

Commit

1d3b1b4

1 Parent(s): 69a220c

Refactor assets files

Browse files

This view is limited to 50 files because it contains too many changes. See raw diff

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{resources → assets}/audio/white_noise.wav +0 -0
{resources → assets}/libraries/libAudioCapture.dylib +0 -0
{models/asr → assets/models/asr/funasr}/punc_ct-transformer_cn-en-common-vocab471067-large/.mdl +0 -0
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{models/asr → assets/models/asr/funasr}/punc_ct-transformer_cn-en-common-vocab471067-large/README.md +0 -0
{models/asr → assets/models/asr/funasr}/punc_ct-transformer_cn-en-common-vocab471067-large/config.yaml +0 -0
models/asr/speech_fsmn_vad_zh-cn-16k-common-pytorch/fig/struct.png → assets/models/asr/funasr/punc_ct-transformer_cn-en-common-vocab471067-large/configuration.json +2 -2
{models/asr → assets/models/asr/funasr}/punc_ct-transformer_cn-en-common-vocab471067-large/example/punc_example.txt +0 -0
{models/asr → assets/models/asr/funasr}/punc_ct-transformer_cn-en-common-vocab471067-large/fig/struct.png +0 -0
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{models/asr → assets/models/asr/funasr}/punc_ct-transformer_cn-en-common-vocab471067-large/model_quant.onnx +0 -0
models/asr/speech_fsmn_vad_zh-cn-16k-common-pytorch/example/vad_example.wav → assets/models/asr/funasr/punc_ct-transformer_cn-en-common-vocab471067-large/tokens.json +2 -2
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{models/asr → assets/models/asr/funasr}/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/config.yaml +0 -0
models/asr/speech_fsmn_vad_zh-cn-16k-common-pytorch/model.pt → assets/models/asr/funasr/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/configuration.json +2 -2
{models/asr → assets/models/asr/funasr}/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav +0 -0
{models/asr → assets/models/asr/funasr}/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/hotword.txt +0 -0
{models/asr → assets/models/asr/funasr}/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/fig/res.png +0 -0
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{models/asr → assets/models/asr/funasr}/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model_eb_quant.onnx +0 -0
{models/asr → assets/models/asr/funasr}/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model_quant.onnx +0 -0
{models/asr → assets/models/asr/funasr}/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/seg_dict +0 -0
assets/models/asr/funasr/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/tokens.json +3 -0
{models/asr → assets/models/asr/whisper}/ggml-large-v3-turbo-encoder.mlmodelc/analytics/coremldata.bin +0 -0
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assets/models/asr/whisper/ggml-large-v3-turbo-encoder.mlmodelc/metadata.json +3 -0
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assets/models/asr/whisper/ggml-medium-encoder.mlmodelc/metadata.json +3 -0
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assets/models/tts/moyoyo/GPT_weights/luoxiang_best_gpt.ckpt +3 -0
assets/models/tts/moyoyo/GPT_weights/mabaoguo_best_gpt.ckpt +3 -0
assets/models/tts/moyoyo/GPT_weights/mayun_best_gpt.ckpt +3 -0
assets/models/tts/moyoyo/GPT_weights/shenyi_best_gpt.ckpt +3 -0

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