Text-to-Speech
Transformers
ONNX
GGUF
Chinese
English
voice-dialogue
speech-recognition
large-language-model
asr
tts
llm
chinese
english
real-time
conversational
Instructions to use MoYoYoTech/VoiceDialogue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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
| <template> | |
| <Header/> | |
| <router-view class="content" /> | |
| <!-- <Footer/> --> | |
| <!-- <a-layout> | |
| <a-layout-sider :style="siderStyle" width="300" :collapsed-width="0" :collapsed="!sider_open" > | |
| Sider | |
| <a-button @click="toggleSider">close</a-button> | |
| </a-layout-sider> | |
| <a-layout> | |
| <router-view class="content" /> | |
| </a-layout> | |
| </a-layout> --> | |
| </template> | |
| <script setup lang="ts"> | |
| import Header from "@/views/Header.vue"; | |
| import Footer from "@/views/Footer.vue"; | |
| // import * as api from "@/client"; | |
| import { onBeforeMount, onMounted, watch, CSSProperties, ref} from "vue"; | |
| import {useSettingsStore} from "@/stores/config.ts"; | |
| import axios from "axios"; | |
| import {getRandomNumInt} from "@/utils/size.ts"; | |
| const base_url = axios.defaults.baseURL | |
| const settingsStore = useSettingsStore(); | |
| const sider_open = ref(settingsStore.$state.sider_open); | |
| const siderStyle: CSSProperties = { | |
| textAlign: 'center', | |
| lineHeight: '90px', | |
| color: '#fff', | |
| backgroundColor: '#3ba0e9', | |
| }; | |
| watch(() => settingsStore.$state.sider_open, (newVal) => { | |
| sider_open.value = newVal; | |
| console.log('sider open changed: ', sider_open.value); | |
| }); | |
| const toggleSider = () => { | |
| sider_open.value = !sider_open.value; | |
| settingsStore.$patch({sider_open: sider_open.value}); | |
| console.log('sider open: ', sider_open.value); | |
| } | |
| // const registerSession = async () => { | |
| // console.log('register ...') | |
| // const role = settingsStore.$state.role_name | |
| // const response = await fetch(`${base_url}/register?role=${role}`) | |
| // const res = await response.json() | |
| // console.log('res: ', res) | |
| // return res['session_id'] | |
| // } | |
| // watch(() => settingsStore.$state.role_name, async (role_name: any) => { | |
| // console.log('>>>>> role updated', role_name) | |
| // let session_id = await registerSession() | |
| // if (!session_id) { | |
| // console.log('register session failed') | |
| // session_id = getRandomNumInt(100000, 999999) | |
| // } | |
| // // @ts-ignore | |
| // sessionsStore.$patch({current_session_id: session_id + ''}) | |
| // console.log('session id: ', sessionsStore.$state.current_session_id) | |
| // }) | |
| onMounted(async () => { | |
| // console.log('app mounted', settingsStore.$state) | |
| // let session_id = await registerSession() | |
| // if (!session_id) { | |
| // console.log('register session failed') | |
| // session_id = getRandomNumInt(100000, 999999) | |
| // } | |
| // // @ts-ignore | |
| // sessionsStore.$patch({current_session_id: session_id + ''}) | |
| // console.log('session id: ', sessionsStore.$state.current_session_id) | |
| }) | |
| </script> | |
| <style scoped> | |
| .content { | |
| background-color: white; | |
| /* max-width: 1280px; | |
| min-height: 720px; */ | |
| margin: 0 auto; | |
| display: flex; | |
| flex-direction: column; | |
| align-items: center; | |
| justify-content: space-between; | |
| } | |
| </style> | |