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

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

VoiceDialogue / frontend /src /views /Home /Components /ChatText.vue

Xin Zhang

frontend

7bff52e 11 months ago

raw

history blame

3.32 kB

	<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>