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
File size: 3,324 Bytes
7bff52e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 | <script setup lang="ts">
import router from "@/router.ts";
import { useSettingsStore } from "@/stores/config.ts";
import { onMounted, ref, nextTick, watch, defineProps } from "vue";
const props = defineProps({
isPlaying: {
type: Boolean,
default: true
},
chatContent: {
type: [Object],
default: []
}
});
const contentListRef = ref(null);
// 自动滚动到底部的函数
const scrollToBottom = () => {
nextTick(() => {
if (contentListRef.value) {
// @ts-ignore
contentListRef.value.scrollTop = contentListRef.value.scrollHeight + 24;
}
});
};
// 监听 chatContent 的变化,自动滚动到底部, 具体list里面的某一条内容的长度改变了,或者list的长度改变了,也需要刷新
watch(() => props.chatContent, (newVal, oldVal) => {
// console.log('chatContent , auto scroll to bottom.....', newVal);
scrollToBottom();
}, { deep: true });
</script>
<template>
<div ref="contentListRef" class="talk-wrapper">
<div v-for="node, index in chatContent" :class="[node.type == 'answer' ? 'cont-left' : 'cont-right']" :key="index">
<div :class="[node.type == 'answer' ? 'text-left' : 'text-right']">
{{ node.content }}
</div>
</div>
<!-- <div class="cont-left">
<div>
<a-avatar size="large" :style="{ backgroundColor: 'green', verticalAlign: 'middle' }" :gap="1">
{{ 'AI' }}
</a-avatar>
</div>
<div class="text-left">
你好,今天的天气怎么样?
早上好,今天的天气不错,适合出去走走。
</div>
</div>
<div class="cont-right">
<div class="text-right">
是的,今天天气很好,阳光明媚。
</div>
<div>
<a-avatar size="large" :style="{ backgroundColor: 'orange', verticalAlign: 'middle' }" :gap="1">
{{ 'U' }}
</a-avatar>
</div>
</div> -->
</div>
</template>
<style lang="scss" scoped>
.talk-wrapper {
width: auto;
height: calc(100vh - 100px);
overflow-y: scroll;
padding: 20px 240px 0 240px;
display: flex;
flex-direction: column;
align-items: flex-start;
justify-content: flex-start;
.cont-left {
width: 100%;
margin: 24px 0;
display: flex;
justify-content: flex-start;
align-items: flex-start;
.text-left {
color: #222;
font-size: 16px;
font-weight: 400;
text-align: left;
line-height: 2;
margin-left: 12px;
margin-top: 6px;
}
}
.cont-right {
width: 100%;
margin: 24px 0;
display: flex;
justify-content: flex-end;
align-items: flex-start;
.text-right {
color: #444;
font-size: 16px;
font-weight: 400;
text-align: end;
line-height: 2;
margin-right: 12px;
background: #ccc;
border-radius: 8px;
border-top-right-radius: 0;
padding: 8px;
}
}
}
</style>
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