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
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
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: 6,576 Bytes
d35a0ba 797cd52 d35a0ba 797cd52 d35a0ba 797cd52 d35a0ba 797cd52 d35a0ba | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 | <script setup lang="ts">
import { ref, watch } from "vue";
import { Modal } from 'ant-design-vue';
import axios from "axios";
const base_url = axios.defaults.baseURL;
// Props
const props = defineProps({
open: {
type: Boolean,
default: false
}
});
// Emits
const emit = defineEmits(['update:open']);
// 默认提示词
const default_prompt_en = ref<string>('');
const default_prompt_zh = ref<string>('');
// 响应式数据
const current_prompt_en = ref<string>('');
const current_prompt_zh = ref<string>('');
const modalLoading = ref<boolean>(false);
const languageSegment = ref<string>('zh');
const fetchDefaultPrompt = async () => {
try {
const response = await fetch(`${base_url}/settings/settings/prompts/default`);
const data = await response.json();
if (data) {
// @ts-ignore
default_prompt_en.value = data.english_prompt;
default_prompt_zh.value = data.chinese_prompt;
}
} catch (error) {
console.error('Error fetching default prompt:', error);
}
};
const fetchCurrentPrompt = async () => {
try {
const response = await fetch(`${base_url}/settings/settings/prompts`);
const data = await response.json();
if (data) {
// @ts-ignore
current_prompt_en.value = data.english_prompt;
current_prompt_zh.value = data.chinese_prompt;
}
} catch (error) {
console.error('Error fetching current prompt:', error);
}
};
const updateCurrentPrompt = async () => {
try {
modalLoading.value = true;
const response = await fetch(`${base_url}/settings/settings/prompts`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
chinese_prompt: current_prompt_zh.value,
english_prompt: current_prompt_en.value
})
});
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`);
}
const data = await response.json();
console.log('Current prompt updated successfully:', data);
} catch (error) {
console.error('Error updating current prompt:', error);
} finally {
modalLoading.value = false;
}
};
const resetDefaultPrompt = async () => {
try {
modalLoading.value = true;
const response = await fetch(`${base_url}/settings/settings/prompts`, {
method: 'DELETE',
});
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`);
}
const data = await response.json();
console.log('Default prompt reset successfully:', data);
current_prompt_en.value = default_prompt_en.value;
current_prompt_zh.value = default_prompt_zh.value;
} catch (error) {
console.error('Error resetting default prompt:', error);
} finally {
modalLoading.value = false;
}
};
// 方法
const handleCancel = async () => {
await fetchCurrentPrompt();
emit('update:open', false);
};
const handleSubmit = async () => {
await updateCurrentPrompt();
await fetchCurrentPrompt();
emit('update:open', false);
};
const handleResetPrompt = async (language: string) => {
await fetchDefaultPrompt();
if (language == 'en') {
current_prompt_en.value = default_prompt_en.value;
} else {
current_prompt_zh.value = default_prompt_zh.value;
}
};
// 监听open变化,初始化prompt值
watch(() => props.open, (newOpen) => {
if (newOpen) {
fetchCurrentPrompt();
fetchDefaultPrompt();
}
});
</script>
<template>
<a-modal
key="prompt-text-modal"
v-model:open="props.open"
:title="null"
:mask-closable="false"
:closable="false"
centered
@update:open="(val: boolean) => emit('update:open', val)"
>
<template #footer>
<div class="btn-groups">
<div class="btn-group">
<a-button key="back" @click="handleCancel">Cancel</a-button>
<a-button key="submit" type="primary" :loading="modalLoading" @click="handleSubmit">Submit</a-button>
</div>
</div>
</template>
<div class="prompt-content">
<div class="prompt-title">
<p>Prompt Debug</p>
</div>
<a-radio-group button-style="solid" size="medium" v-model:value="languageSegment" class="language-segment">
<a-radio-button value="zh">Chinese</a-radio-button>
<a-radio-button value="en">English</a-radio-button>
</a-radio-group>
<div v-if="languageSegment == 'en'" class="prompt-item">
<a-textarea
v-model:value="current_prompt_en"
:placeholder="default_prompt_en"
:auto-size="{ minRows: 10, maxRows: 20 }"
show-count
:maxlength="2000"
allow-clear
class="prompt-textarea"
/>
<a-button size="small" key="reset-en" @click="handleResetPrompt('en')" style="margin-top: 16px;">Reset</a-button>
</div>
<div v-if="languageSegment == 'zh'" class="prompt-item">
<a-textarea
v-model:value="current_prompt_zh"
:placeholder="default_prompt_zh"
:auto-size="{ minRows: 10, maxRows: 20 }"
show-count
:maxlength="2000"
allow-clear
class="prompt-textarea"
/>
<a-button size="small" key="reset-zh" @click="handleResetPrompt('zh')" style="margin-top: 16px;">Reset</a-button>
</div>
</div>
</a-modal>
</template>
<style lang="scss" scoped>
.btn-groups {
margin-top: 36px;
display: flex;
justify-content: flex-end;
align-items: center;
}
.prompt-title {
p {
margin: 0;
font-size: 16px;
font-weight: 500;
}
}
.prompt-content {
margin-top: 16px;
.prompt-title {
margin-bottom: 24px;
font-size: 22px;
font-weight: 500;
text-align: center;
}
.language-segment {
display: flex;
justify-content: center;
margin-bottom: 16px;
}
.prompt-item {
margin-top: 16px;
}
}
</style>
|