Deploying to docs from @ LiteyukiStudio/nonebot-plugin-marshoai@b75a47e1e8 🚀

assets/start_use.md.BiCxERjA.lean.js

@@ -1 +0,0 @@
-import{_ as i,c as a,ae as t,o as e}from"./chunks/framework.BzDBnRMZ.js";const c=JSON.parse('{"title":"使用","description":"","frontmatter":{"title":"使用"},"headers":[],"relativePath":"start/use.md","filePath":"zh/start/use.md","lastUpdated":1737825849000}'),n={name:"start/use.md"};function l(h,s,p,k,o,d){return e(),a("div",null,s[0]||(s[0]=[t("",14)]))}const u=i(n,[["render",l]]);export{c as __pageData,u as default};

assets/start_use.md.HknkOvSZ.js

@@ -1,5 +1,7 @@
-import{_ as i,c as a,ae as t,o as e}from"./chunks/framework.BzDBnRMZ.js";const c=JSON.parse('{"title":"使用","description":"","frontmatter":{"title":"使用"},"headers":[],"relativePath":"start/use.md","filePath":"zh/start/use.md","lastUpdated":1737825849000}'),n={name:"start/use.md"};function l(h,s,p,k,o,d){return e(),a("div",null,s[0]||(s[0]=[t(`<h1 id="安装" tabindex="-1">安装 <a class="header-anchor" href="#安装" aria-label="Permalink to &quot;安装&quot;">​</a></h1><ul><li>请查看 <a href="./install">安装文档</a></li></ul><h1 id="使用" tabindex="-1">使用 <a class="header-anchor" href="#使用" aria-label="Permalink to &quot;使用&quot;">​</a></h1><h3 id="api-部署" tabindex="-1">API 部署 <a class="header-anchor" href="#api-部署" aria-label="Permalink to &quot;API 部署&quot;">​</a></h3><p>本插件推荐使用 <a href="https://github.com/songquanpeng/one-api" target="_blank" rel="noreferrer">one-api</a> 作为中转以调用 LLM。</p><h3 id="配置调整" tabindex="-1">配置调整 <a class="header-anchor" href="#配置调整" aria-label="Permalink to &quot;配置调整&quot;">​</a></h3><p>本插件理论上可兼容大部分可通过 OpenAI 兼容 API 调用的 LLM，部分模型可能需要调整插件配置。</p><p>例如：</p><ul><li>对于不支持 Function Call 的模型（Cohere Command R等）：<div class="language-dotenv vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">dotenv</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_ENABLE_PLUGINS</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">false</span></span>
-<span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_ENABLE_TOOLS</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">false</span></span></code></pre></div></li><li>对于支持图片处理的模型（hunyuan-vision等）：<div class="language-dotenv vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">dotenv</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_ADDITIONAL_IMAGE_MODELS</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">[</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;hunyuan-vision&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">]</span></span></code></pre></div></li></ul><h3 id="使用-vllm-部署本地模型" tabindex="-1">使用 vLLM 部署本地模型 <a class="header-anchor" href="#使用-vllm-部署本地模型" aria-label="Permalink to &quot;使用 vLLM 部署本地模型&quot;">​</a></h3><p>你可使用 vLLM 部署一个本地 LLM，并使用 OpenAI 兼容 API 调用。<br> 本文档以 Qwen2.5-7B-Instruct-GPTQ-Int4 模型及 <a href="https://github.com/Moemu/Muice-Chatbot" target="_blank" rel="noreferrer">Muice-Chatbot</a> 提供的 LoRA 微调模型为例，并假设你的系统及硬件可运行 vLLM。</p><div class="warning custom-block"><p class="custom-block-title">WARNING</p><p>vLLM 仅支持 Linux 系统。</p></div><ol><li>安装 vLLM<div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">pip</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> install</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> vllm</span></span></code></pre></div></li><li>下载 Muice-Chatbot 提供的 LoRA 微调模型<br> 前往 Muice-Chatbot 的 <a href="https://github.com/Moemu/Muice-Chatbot/releases" target="_blank" rel="noreferrer">Releases</a> 下载模型文件。此处以<code>2.7.1</code>版本的模型为例。<div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">wget</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> https://github.com/Moemu/Muice-Chatbot/releases/download/1.4/Muice-2.7.1-Qwen2.5-7B-Instruct-GPTQ-Int4-8e-4.7z</span></span></code></pre></div></li><li>解压模型文件<div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">7z</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> x</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> Muice-2.7.1-Qwen2.5-7B-Instruct-GPTQ-Int4-8e-4.7z</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> -oMuice-2.7.1-Qwen2.5-7B-Instruct-GPTQ-Int4-8e-4</span></span></code></pre></div></li><li>启动 vLLM<div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">vllm</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> serve</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> \\</span></span>
+import{_ as i,c as a,ae as e,o as t}from"./chunks/framework.BzDBnRMZ.js";const c=JSON.parse('{"title":"使用","description":"","frontmatter":{"title":"使用"},"headers":[],"relativePath":"start/use.md","filePath":"zh/start/use.md","lastUpdated":1738327524000}'),n={name:"start/use.md"};function l(p,s,h,k,o,d){return t(),a("div",null,s[0]||(s[0]=[e(`<h1 id="安装" tabindex="-1">安装 <a class="header-anchor" href="#安装" aria-label="Permalink to &quot;安装&quot;">​</a></h1><ul><li>请查看 <a href="./install">安装文档</a></li></ul><h1 id="使用" tabindex="-1">使用 <a class="header-anchor" href="#使用" aria-label="Permalink to &quot;使用&quot;">​</a></h1><h3 id="api-部署" tabindex="-1">API 部署 <a class="header-anchor" href="#api-部署" aria-label="Permalink to &quot;API 部署&quot;">​</a></h3><p>本插件推荐使用 <a href="https://github.com/songquanpeng/one-api" target="_blank" rel="noreferrer">one-api</a> 作为中转以调用 LLM。</p><h3 id="配置调整" tabindex="-1">配置调整 <a class="header-anchor" href="#配置调整" aria-label="Permalink to &quot;配置调整&quot;">​</a></h3><p>本插件理论上可兼容大部分可通过 OpenAI 兼容 API 调用的 LLM，部分模型可能需要调整插件配置。</p><p>例如：</p><ul><li>对于不支持 Function Call 的模型（Cohere Command R，DeepSeek-R1等）：<div class="language-dotenv vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">dotenv</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_ENABLE_PLUGINS</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">false</span></span>
+<span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_ENABLE_TOOLS</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">false</span></span></code></pre></div></li><li>对于支持图片处理的模型（hunyuan-vision等）：<div class="language-dotenv vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">dotenv</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_ADDITIONAL_IMAGE_MODELS</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">[</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;hunyuan-vision&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">]</span></span></code></pre></div></li></ul><h3 id="使用-deepseek-r1-模型" tabindex="-1">使用 DeepSeek-R1 模型 <a class="header-anchor" href="#使用-deepseek-r1-模型" aria-label="Permalink to &quot;使用 DeepSeek-R1 模型&quot;">​</a></h3><p>MarshoAI 兼容 DeepSeek-R1 模型，你可通过以下步骤来使用：</p><ol><li>获取 API Key<br> 前往<a href="https://platform.deepseek.com/api_keys" target="_blank" rel="noreferrer">此处</a>获取 API Key。</li><li>配置插件<div class="language-dotenv vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">dotenv</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_TOKEN</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;&lt;你的 API Key&gt;&quot;</span></span>
+<span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_AZURE_ENDPOINT</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;https://api.deepseek.com&quot;</span></span>
+<span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_DEFAULT_MODEL</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;deepseek-reasoner&quot;</span></span></code></pre></div>你可修改 <code>MARSHOAI_DEFAULT_MODEL</code> 为 其它模型名来调用其它 DeepSeek 模型。<div class="tip custom-block"><p class="custom-block-title">TIP</p><p>如果使用 one-api 作为中转，你可将 <code>MARSHOAI_AZURE_ENDPOINT</code> 设置为 one-api 的地址，将 <code>MARSHOAI_TOKEN</code> 设为 one-api 配置的令牌，在 one-api 中添加 DeepSeek 渠道。</p></div></li></ol><h3 id="使用-vllm-部署本地模型" tabindex="-1">使用 vLLM 部署本地模型 <a class="header-anchor" href="#使用-vllm-部署本地模型" aria-label="Permalink to &quot;使用 vLLM 部署本地模型&quot;">​</a></h3><p>你可使用 vLLM 部署一个本地 LLM，并使用 OpenAI 兼容 API 调用。<br> 本文档以 Qwen2.5-7B-Instruct-GPTQ-Int4 模型及 <a href="https://github.com/Moemu/Muice-Chatbot" target="_blank" rel="noreferrer">Muice-Chatbot</a> 提供的 LoRA 微调模型为例，并假设你的系统及硬件可运行 vLLM。</p><div class="warning custom-block"><p class="custom-block-title">WARNING</p><p>vLLM 仅支持 Linux 系统。</p></div><ol><li>安装 vLLM<div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">pip</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> install</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> vllm</span></span></code></pre></div></li><li>下载 Muice-Chatbot 提供的 LoRA 微调模型<br> 前往 Muice-Chatbot 的 <a href="https://github.com/Moemu/Muice-Chatbot/releases" target="_blank" rel="noreferrer">Releases</a> 下载模型文件。此处以<code>2.7.1</code>版本的模型为例。<div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">wget</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> https://github.com/Moemu/Muice-Chatbot/releases/download/1.4/Muice-2.7.1-Qwen2.5-7B-Instruct-GPTQ-Int4-8e-4.7z</span></span></code></pre></div></li><li>解压模型文件<div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">7z</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> x</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> Muice-2.7.1-Qwen2.5-7B-Instruct-GPTQ-Int4-8e-4.7z</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> -oMuice-2.7.1-Qwen2.5-7B-Instruct-GPTQ-Int4-8e-4</span></span></code></pre></div></li><li>启动 vLLM<div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">vllm</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> serve</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> \\</span></span>
 <span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">    --enable-lora</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> \\</span></span>
 <span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">    --lora-modules</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> &#39;{&quot;name&quot;: &quot;muice-lora&quot;, &quot;path&quot;: &quot;/root/Muice-2.7.1-Qwen2.5-7B-Instruct-GPTQ-Int4-8e-4&quot;, &quot;base_model_name&quot;: &quot;Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4&quot;}&#39;</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> \\</span></span>
 <span class="line"><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">    --port</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> 6006</span></span></code></pre></div>此示例命令将在 <code>6006</code> 端口启动 vLLM，并加载 Muice-Chatbot 提供的 LoRA 微调模型，该模型位于 <code>/root/Muice-2.7.1-Qwen2.5-7B-Instruct-GPTQ-Int4-8e-4</code> 目录下。</li><li>配置插件<div class="language-dotenv vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">dotenv</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_AZURE_ENDPOINT</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;http://127.0.0.1:6006/v1&quot;</span></span>
@@ -8,4 +10,4 @@ import{_ as i,c as a,ae as t,o as e}from"./chunks/framework.BzDBnRMZ.js";const c
 <span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_DEFAULT_MODEL</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;muice-lora&quot;</span></span>
 <span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_PROMPT</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;现在开始你是一个名为的“沐雪”的AI女孩子，开发者是“沐沐”并住在（沐沐）的机箱里。现在正在努力成为一个合格的VTuber（虚拟主播）并尝试和观众打成一片，以下是你的设定：样貌：有着一头粉白色的长发和一双明亮的大眼睛，喜欢穿日系JK或者是Lolita；喜欢的颜色：浅粉色；性格特征：纯真无邪是沐雪最基本的性格特征之一。即使面对复杂的情境，她也总能保持善良、天真之感。而且，她喜欢倾听别人倾述自己生活中发生的各种事情，在别人需要的时候，能够及时地安慰别人；语言风格：沐雪说话轻快愉悦，充满同情心，富有人情味，有时候会用俏皮话调侃自己和他人&quot;</span></span></code></pre></div>(可选) 修改调用方式<div class="language-dotenv vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">dotenv</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_DEFAULT_NAME</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;muice&quot;</span></span>
 <span class="line"><span style="--shiki-light:#E36209;--shiki-dark:#FFAB70;">MARSHOAI_ALIASES</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">[</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">&quot;沐雪&quot;</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">]</span></span></code></pre></div></li><li>测试聊天</li></ol><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>&gt; muice 你是谁</span></span>
-<span class="line"><span>我是沐雪，我的使命是传播爱与和平。</span></span></code></pre></div>`,14)]))}const u=i(n,[["render",l]]);export{c as __pageData,u as default};
+<span class="line"><span>我是沐雪，我的使命是传播爱与和平。</span></span></code></pre></div>`,17)]))}const u=i(n,[["render",l]]);export{c as __pageData,u as default};

assets/start_use.md.HknkOvSZ.lean.js

@@ -0,0 +1 @@
+import{_ as i,c as a,ae as e,o as t}from"./chunks/framework.BzDBnRMZ.js";const c=JSON.parse('{"title":"使用","description":"","frontmatter":{"title":"使用"},"headers":[],"relativePath":"start/use.md","filePath":"zh/start/use.md","lastUpdated":1738327524000}'),n={name:"start/use.md"};function l(p,s,h,k,o,d){return t(),a("div",null,s[0]||(s[0]=[e("",17)]))}const u=i(n,[["render",l]]);export{c as __pageData,u as default};