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
| <script setup lang="ts"> | |
| import router from "@/router.ts"; | |
| import { useSettingsStore } from "@/stores/config.ts"; | |
| import { onMounted, ref, watch, defineProps } from "vue"; | |
| import { Vue3Lottie, AnimationItem } from 'vue3-lottie' | |
| import ballJson from "@/assets/ball.json"; | |
| const props = defineProps({ | |
| isPlaying: { | |
| type: Boolean, | |
| default: true | |
| } | |
| }); | |
| onMounted(async () => { | |
| // console.log('config', settingsStore.$state) | |
| }) | |
| const chatAction = () => { | |
| router.replace('/home') | |
| } | |
| const inputType = ref<string>(); | |
| const role = ref<string>(); | |
| const onTypeChange = (e: any) => { | |
| console.log('onTypeChange', e.target.value) | |
| // settingsStore.$state.file_type = e.target.value | |
| } | |
| const onRoleChange = (e: any) => { | |
| console.log('onRoleChange', e.target.value) | |
| // settingsStore.$state.role_name = e.target.value | |
| // stateStore.changeRole(e.target.value) | |
| // console.log('role_name', settingsStore.$state.role_name) | |
| } | |
| const isAnimationPaused = ref<boolean>(true); | |
| const animationSpeed = ref<number>(0); // 动画播放速度,0 表示静止 | |
| watch(() => props.isPlaying, (newIsPlayingState) => { | |
| if (newIsPlayingState) { | |
| // 如果父组件要求播放 | |
| isAnimationPaused.value = false; | |
| animationSpeed.value = 1; // 正常速度 | |
| } else { | |
| // 如果父组件要求暂停 | |
| isAnimationPaused.value = true; | |
| animationSpeed.value = 0; // 速度为0以暂停 | |
| } | |
| console.log(`Animation controlled by prop: isPlaying=${newIsPlayingState}, Paused: ${isAnimationPaused.value}, Speed: ${animationSpeed.value}`); | |
| }, { immediate: true }); | |
| </script> | |
| <template> | |
| <div class="ball-wrapper"> | |
| <Vue3Lottie :animationData="ballJson" :autoplay="true" :pauseAnimation="isAnimationPaused" | |
| :speed="animationSpeed" :height="340" :width="340" /> | |
| </div> | |
| </template> | |
| <style lang="scss" scoped> | |
| .ball-wrapper { | |
| width: 100%; | |
| height: calc(100vh - 100px); | |
| display: flex; | |
| flex-direction: column; | |
| align-items: center; | |
| justify-content: space-around; | |
| } | |
| </style> | |