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零成本！普通手机跑最强 Gemma 4 模型 (原生多模态)，安卓+iPhone 部署实测体验！

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<div data-page-id="DJcGfUlXVdazYpcBm0CcyU9znLe" data-lark-html-role="root" data-docx-has-block-data="false">
<div class="ace-line ace-line old-record-id-ZPLJfQP89djlrCctI2mcjgDOnBf">如果我告诉你，一台普通手机就能跑通谷歌刚刚发布的最强Gemma 4模型，你信吗？更惊喜的是，它支持原生多模态，能看图、能对话、能写代码，还能完全离线使用，全程不用花一分钱。</div>
</div>
<div><img class="wp-image-23670 aligncenter" title="零成本！普通手机跑最强 Gemma 4 模型 (原生多模态)，安卓+iPhone 部署实测体验！ 1" src="https://www.freedidi.com/wp-content/uploads/2026/04/%E6%9C%AA%E6%A0%87%E9%A2%98-2.webp" sizes="(max-width: 843px) 100vw, 843px" srcset="https://www.freedidi.com/wp-content/uploads/2026/04/未标题-2.webp 1920w, https://www.freedidi.com/wp-content/uploads/2026/04/未标题-2-748x421.webp 748w, https://www.freedidi.com/wp-content/uploads/2026/04/未标题-2-768x432.webp 768w, https://www.freedidi.com/wp-content/uploads/2026/04/未标题-2-1536x864.webp 1536w, https://www.freedidi.com/wp-content/uploads/2026/04/未标题-2-520x293.webp 520w, https://www.freedidi.com/wp-content/uploads/2026/04/未标题-2-940x529.webp 940w" alt="未标题 2" width="843" height="474"></div>
<div data-page-id="DJcGfUlXVdazYpcBm0CcyU9znLe" data-lark-html-role="root" data-docx-has-block-data="false">
<div>&nbsp;</div>
<div class="ace-line ace-line old-record-id-Cnz3fSB13dxJl7c0hgjcRdp9nOb">最近很多朋友问我，手机能不能跑通最新的大模型，毕竟不是人人都有高性能电脑。今天，我就带大家从零开始，一步步在安卓和iPhone手机上跑通Gemma 4模型，每一步都有详细操作，新手也能轻松跟上，所有需要的资料，我都会放在文末和博客置顶，大家直接获取即可。</div>
<div class="ace-line ace-line old-record-id-YBGFf4Gc4d0s6XcgRDGcGpuIn1f">先跟大家简单科普下，Gemma 4是谷歌DeepMind最新发布的开源旗舰模型，也是目前谷歌最强的开放模型系列，采用Apache 2.0许可证开源，支持免费商用和二次开发，共分为4个版本，其中E2B、E4B两个版本专门针对手机、嵌入式设备优化，内存占用最低可压至1.5GB以下，这也是普通手机能跑通它的关键原因。话不多说，直接上实操！</div>
</div>
<div>&nbsp;</div>
<div><img class="wp-image-23671 aligncenter" title="零成本！普通手机跑最强 Gemma 4 模型 (原生多模态)，安卓+iPhone 部署实测体验！ 2" src="https://www.freedidi.com/wp-content/uploads/2026/04/20260406_1775473370-scaled.webp" sizes="(max-width: 1029px) 100vw, 1029px" srcset="https://www.freedidi.com/wp-content/uploads/2026/04/20260406_1775473370-scaled.webp 2560w, https://www.freedidi.com/wp-content/uploads/2026/04/20260406_1775473370-748x421.webp 748w, https://www.freedidi.com/wp-content/uploads/2026/04/20260406_1775473370-768x432.webp 768w, https://www.freedidi.com/wp-content/uploads/2026/04/20260406_1775473370-1536x864.webp 1536w, https://www.freedidi.com/wp-content/uploads/2026/04/20260406_1775473370-2048x1152.webp 2048w, https://www.freedidi.com/wp-content/uploads/2026/04/20260406_1775473370-520x293.webp 520w, https://www.freedidi.com/wp-content/uploads/2026/04/20260406_1775473370-940x529.webp 940w" alt="20260406 1775473370 scaled" width="1029" height="579"></div>
<div>
<p data-path-to-node="5">这期教程，我将带你从零开始，分别在 Android 和 iPhone 手机上跑通最新的 Gemma 4 模型。在开始动手之前，请确保你已经在本页下方找到了我们所需的全部下载资料和链接。</p>
</div>
<div class="video-container">
<div class="fluid-width-video-wrapper"><iframe id="fitvid0" title="零成本跑最强AI！Gemma 4手机本地部署（支持离线+多模态）安卓+iPhone全搞定 | 零度解说" src="https://www.youtube.com/embed/bqjvxnVbfdE?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen="allowfullscreen"></iframe></div>
</div>
<div>
<h2 data-path-to-node="7">&nbsp;第一部分：Android 安卓端部署</h2>
<p data-path-to-node="8">我们先拿安卓手机来做测试。由于我的测试机配置比较旧，正好可以验证一下低配手机的运行效果。</p>
<h3 data-path-to-node="9">1. 下载与安装环境</h3>
<p data-path-to-node="10">在下方资料区获取安装包，你可以选择直接从谷歌应用商店（Google Play）下载，或者直接下载 APK 安装包。</p>
<h3 data-path-to-node="10"><strong>（1）、Google应用商店下载：【<a href="https://play.google.com/store/apps/details?id=com.ishanvohra2.localai" target="_blank" rel="noopener">点击前往</a>】</strong></h3>
<h3 data-path-to-node="10"><strong>（2）、下载安卓APK安装包：【<a href="https://pan.quark.cn/s/16792f0e694e" target="_blank" rel="noopener">点击下载</a>】或【<a href="https://pan.cloudeop.com/s/AFE1C96688C47D36" target="_blank" rel="noopener">备用下载</a>】</strong></h3>
<p><img class="alignnone size-full wp-image-23672" title="零成本！普通手机跑最强 Gemma 4 模型 (原生多模态)，安卓+iPhone 部署实测体验！ 3" src="https://www.freedidi.com/wp-content/uploads/2026/04/%E6%9C%AA%E6%A0%87%E9%A2%98-3.webp" sizes="auto, (max-width: 1920px) 100vw, 1920px" srcset="https://www.freedidi.com/wp-content/uploads/2026/04/未标题-3.webp 1920w, https://www.freedidi.com/wp-content/uploads/2026/04/未标题-3-748x421.webp 748w, https://www.freedidi.com/wp-content/uploads/2026/04/未标题-3-768x432.webp 768w, https://www.freedidi.com/wp-content/uploads/2026/04/未标题-3-1536x864.webp 1536w, https://www.freedidi.com/wp-content/uploads/2026/04/未标题-3-520x293.webp 520w, https://www.freedidi.com/wp-content/uploads/2026/04/未标题-3-940x529.webp 940w" alt="未标题 3" width="1920" height="1080" loading="lazy"></p>
<ul data-path-to-node="11">
<li>
<p data-path-to-node="11,0,0">打开应用并完成安装。</p>
</li>
<li>
<p data-path-to-node="11,1,0">首次进入点击&nbsp;<strong data-path-to-node="11,1,0" data-index-in-node="7">Get Started</strong>，并允许发送通知。</p>
</li>
</ul>
<h3 data-path-to-node="12">&nbsp;</h3>
<h3 data-path-to-node="12">2. 性能模式与模型下载</h3>
<p data-path-to-node="13">进入应用后，我们需要进行基础设置并下载对应的 AI 模型：</p>
<ul data-path-to-node="14">
<li>
<p data-path-to-node="14,0,0"><strong data-path-to-node="14,0,0" data-index-in-node="0">选择运行模式：</strong>&nbsp;顶部可以选择 AI 模型的运行模式（Fast 快速、平衡、高性能、自定义）。</p>
</li>
<li>
<p data-path-to-node="14,1,0"><strong data-path-to-node="14,1,0" data-index-in-node="0">进入模型库：</strong>&nbsp;点击左上方三个横杠菜单，进入&nbsp;<strong data-path-to-node="14,1,0" data-index-in-node="22">Model Hub</strong>。</p>
</li>
<li>
<p data-path-to-node="14,2,0"><strong data-path-to-node="14,2,0" data-index-in-node="0">下载 Gemma 4：</strong>&nbsp;向下滑动找到&nbsp;<strong data-path-to-node="14,2,0" data-index-in-node="19">Gemma 4 ECB 量化版模型</strong>。</p>
<ul data-path-to-node="14,2,1">
<li>
<p data-path-to-node="14,2,1,0,0"><em data-path-to-node="14,2,1,0,0" data-index-in-node="0">注：系统会根据手机配置推荐合适的版本。由于我的手机配置不高，它推荐的是 1.2GB 大小的&nbsp;<code data-path-to-node="14,2,1,0,0" data-index-in-node="46">Q2_K_S_L</code>&nbsp;量化版。如果你的安卓机配置较高，可以选择最高 2.3GB 的版本以获得更好的体验。</em></p>
</li>
</ul>
</li>
<li>
<p data-path-to-node="14,3,0">勾选推荐版本，拉到底部点击&nbsp;<strong data-path-to-node="14,3,0" data-index-in-node="14">Download</strong>，耐心等待一分钟左右即可下载完成。<img class="alignnone size-full wp-image-23673" title="零成本！普通手机跑最强 Gemma 4 模型 (原生多模态)，安卓+iPhone 部署实测体验！ 4" src="https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_25_08.Still014-scaled.webp" sizes="auto, (max-width: 2560px) 100vw, 2560px" srcset="https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_25_08.Still014-scaled.webp 2560w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_25_08.Still014-748x421.webp 748w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_25_08.Still014-768x432.webp 768w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_25_08.Still014-1536x864.webp 1536w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_25_08.Still014-2048x1152.webp 2048w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_25_08.Still014-520x293.webp 520w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_25_08.Still014-940x529.webp 940w" alt="2026 04 06 16 39 57.00 02 25 08.Still014 scaled" width="2560" height="1440" loading="lazy"></p>
</li>
</ul>
<h3 data-path-to-node="15">3. 载入与测试模型</h3>
<ul data-path-to-node="16">
<li>
<p data-path-to-node="16,0,0">返回首页，进入&nbsp;<strong data-path-to-node="16,0,0" data-index-in-node="8">Fast</strong>&nbsp;选项卡并拉到底部，打开&nbsp;<strong data-path-to-node="16,0,0" data-index-in-node="25">自定义模式</strong>。</p>
</li>
<li>
<p data-path-to-node="16,1,0"><strong data-path-to-node="16,1,0" data-index-in-node="0">创建模型：</strong>&nbsp;名称可以随便填。</p>
</li>
<li>
<p data-path-to-node="16,2,0"><strong data-path-to-node="16,2,0" data-index-in-node="0">选择模型：</strong>&nbsp;选中我们刚刚下载好的 Gemma 4 1.2G 模型。</p>
</li>
<li>
<p data-path-to-node="16,3,0"><strong data-path-to-node="16,3,0" data-index-in-node="0">参数设置：</strong>&nbsp;* 上下文长度：根据手机硬件配置自定义（配置低切勿拉太高）。</p>
<ul data-path-to-node="16,3,1">
<li>
<p data-path-to-node="16,3,1,0,0">最高 Token 输出量：设置为&nbsp;<strong data-path-to-node="16,3,1,0,0" data-index-in-node="17">512</strong>。</p>
</li>
</ul>
</li>
<li>
<p data-path-to-node="16,4,0">点击保存，自定义模型就配置完成了！</p>
</li>
</ul>
<p data-path-to-node="17"><strong data-path-to-node="17" data-index-in-node="0">实测表现：</strong>&nbsp;我让它在本地完全离线的状态下帮我编写了一个贪吃蛇小游戏，生成速度非常快，日常对话也完全没有问题。</p>
<h2 data-path-to-node="19"><img class="alignnone size-full wp-image-23674" title="零成本！普通手机跑最强 Gemma 4 模型 (原生多模态)，安卓+iPhone 部署实测体验！ 5" src="https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_51_02.Still015-scaled.webp" sizes="auto, (max-width: 2560px) 100vw, 2560px" srcset="https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_51_02.Still015-scaled.webp 2560w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_51_02.Still015-748x421.webp 748w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_51_02.Still015-768x432.webp 768w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_51_02.Still015-1536x864.webp 1536w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_51_02.Still015-2048x1152.webp 2048w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_51_02.Still015-520x293.webp 520w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_02_51_02.Still015-940x529.webp 940w" alt="2026 04 06 16 39 57.00 02 51 02.Still015 scaled" width="2560" height="1440" loading="lazy"></h2>
<h2 data-path-to-node="19">&nbsp;第二部分：iOS 苹果端部署</h2>
<p data-path-to-node="20">看完安卓，我们再来看看 iPhone 上的表现。</p>
<h3 data-path-to-node="21">1. 下载 Locally AI</h3>
<h3>【<a href="https://apps.apple.com/us/app/locally-ai-local-ai-chat/id6741426692" target="_blank" rel="noopener">点击前往</a>】</h3>
<p data-path-to-node="22">通过下方链接前往 App Store 下载名为&nbsp;<strong data-path-to-node="22" data-index-in-node="24">Locally AI</strong>&nbsp;的应用程序。这是一款完全免费、主打隐私与安全、支持加载本地离线模型的强大工具。</p>
</div>
<p data-path-to-node="22"><img class="alignnone size-full wp-image-23675 aligncenter" title="零成本！普通手机跑最强 Gemma 4 模型 (原生多模态)，安卓+iPhone 部署实测体验！ 6" src="https://www.freedidi.com/wp-content/uploads/2026/04/%E5%B1%8F%E5%B9%95%E6%88%AA%E5%9B%BE-2026-04-06-211153.webp" sizes="auto, (max-width: 758px) 100vw, 758px" srcset="https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211153.webp 758w, https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211153-491x421.webp 491w, https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211153-520x446.webp 520w" alt="屏幕截图 2026 04 06 211153" width="758" height="650" loading="lazy"></p>
<div>
<h3 data-path-to-node="23">&nbsp;</h3>
<h3 data-path-to-node="23">2. 下载 iOS 版 Gemma 4</h3>
<ul data-path-to-node="24">
<li>
<p data-path-to-node="24,0,0">打开应用，跳过欢迎页的默认模型推荐。</p>
</li>
<li>
<p data-path-to-node="24,1,0">点击上方的&nbsp;<strong data-path-to-node="24,1,0" data-index-in-node="6">选择模型</strong>，在列表中找到支持深入思考和多模态的最新的&nbsp;<strong data-path-to-node="24,1,0" data-index-in-node="32">Gemma 4</strong>。</p>
</li>
<li>
<p data-path-to-node="24,2,0">点击下载（文件大小约为&nbsp;<strong data-path-to-node="24,2,0" data-index-in-node="12">3.61GB</strong>，版本为&nbsp;<code data-path-to-node="24,2,0" data-index-in-node="23">E2B</code>&nbsp;量化版）。</p>
</li>
</ul>
<h2 data-path-to-node="26"><img class=" wp-image-23676 aligncenter" title="零成本！普通手机跑最强 Gemma 4 模型 (原生多模态)，安卓+iPhone 部署实测体验！ 7" src="https://www.freedidi.com/wp-content/uploads/2026/04/%E5%B1%8F%E5%B9%95%E6%88%AA%E5%9B%BE-2026-04-06-211237.webp" sizes="auto, (max-width: 666px) 100vw, 666px" srcset="https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211237.webp 1177w, https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211237-750x415.webp 750w, https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211237-768x425.webp 768w, https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211237-520x288.webp 520w, https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211237-940x521.webp 940w" alt="屏幕截图 2026 04 06 211237" width="666" height="369" loading="lazy"></h2>
<h2 data-path-to-node="26">&nbsp;</h2>
<h2 data-path-to-node="26">极客硬核测试：Gemma 4 到底有多强？</h2>
<p data-path-to-node="27">模型下载好后，我针对它的多模态、逻辑推理和代码能力进行了深度测试。</p>
<h3 data-path-to-node="28">测试一：多模态视觉识别（拍照识物）</h3>
<p data-path-to-node="29">我随手在桌面上扔了一些杂物，打开&nbsp;<strong data-path-to-node="29" data-index-in-node="17">深入思考模式</strong>&nbsp;拍照发给它，看看它能识别出什么。</p>
<blockquote data-path-to-node="30">
<p data-path-to-node="30,0"><strong data-path-to-node="30,0" data-index-in-node="0">我的提问：</strong>&nbsp;你看到了什么？桌面上堆有哪些东西？&nbsp;<strong data-path-to-node="30,0" data-index-in-node="24">Gemma 4 回答：</strong>&nbsp;&gt; *&nbsp;<img class="emoji" role="img" draggable="false" src="https://s.w.org/images/core/emoji/17.0.2/svg/2705.svg" alt="✅">&nbsp;一部深色的智能手机</p>
<ul data-path-to-node="30,1">
<li>
<p data-path-to-node="30,1,0,0"><img class="emoji" role="img" draggable="false" src="https://s.w.org/images/core/emoji/17.0.2/svg/2705.svg" alt="✅">&nbsp;一个带花卉图案的偏紫色/粉色手机保护壳</p>
</li>
<li>
<p data-path-to-node="30,1,1,0"><img class="emoji" role="img" draggable="false" src="https://s.w.org/images/core/emoji/17.0.2/svg/2705.svg" alt="✅">&nbsp;一个亮蓝绿色的小瓶（护肤品/精油）</p>
</li>
<li>
<p data-path-to-node="30,1,2,0"><img class="emoji" role="img" draggable="false" src="https://s.w.org/images/core/emoji/17.0.2/svg/2705.svg" alt="✅">&nbsp;一个带标签的大罐子（益生菌）</p>
</li>
<li>
<p data-path-to-node="30,1,3,0"><img class="emoji" role="img" draggable="false" src="https://s.w.org/images/core/emoji/17.0.2/svg/2705.svg" alt="✅">&nbsp;一个黑色小电子配件（声卡录音设备）</p>
</li>
</ul>
</blockquote>
<p data-path-to-node="31"><img class="alignnone size-full wp-image-23677" title="零成本！普通手机跑最强 Gemma 4 模型 (原生多模态)，安卓+iPhone 部署实测体验！ 8" src="https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_04_10_21.Still016-scaled.webp" sizes="auto, (max-width: 2560px) 100vw, 2560px" srcset="https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_04_10_21.Still016-scaled.webp 2560w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_04_10_21.Still016-748x421.webp 748w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_04_10_21.Still016-768x432.webp 768w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_04_10_21.Still016-1536x864.webp 1536w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_04_10_21.Still016-2048x1152.webp 2048w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_04_10_21.Still016-520x293.webp 520w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_04_10_21.Still016-940x529.webp 940w" alt="2026 04 06 16 39 57.00 04 10 21.Still016 scaled" width="2560" height="1440" loading="lazy"></p>
<p data-path-to-node="31"><strong data-path-to-node="31" data-index-in-node="0">翻车环节：</strong>&nbsp;唯独桌上的西瓜子它没认出来。我再次特写拍照问它&ldquo;黑色点点是什么，总共有多少个？&rdquo; 它推测是干燥的种子（算答对），但数量数成了 9 个（实际是 16 个）。&nbsp;<em data-path-to-node="31" data-index-in-node="84">吐槽：为了公平起见，我也问了 ChatGPT，虽然 ChatGPT 认出了西瓜子，但也数错了（数成了 17 个）。看来 AI 数数依然是个老大难问题！</em></p>
<h3 data-path-to-node="32">测试二：逻辑推理（蒙提霍尔问题）</h3>
<blockquote data-path-to-node="33">
<p data-path-to-node="33,0"><strong data-path-to-node="33,0" data-index-in-node="0">题目：</strong>&nbsp;三扇门（一车两羊），你选定一扇后，主持人打开一扇羊门。问：换门是否有利？&nbsp;<strong data-path-to-node="33,0" data-index-in-node="41">Gemma 4 回答：</strong>&nbsp;这是一个经典的蒙提霍尔问题变种。答案是<strong data-path-to-node="33,0" data-index-in-node="72">换门更有利</strong>。坚持原门只有 1/3 的概率，而换门可以抓住主持人排除错误选项带来的机会，将概率提升到 2/3。&nbsp;<strong data-path-to-node="33,0" data-index-in-node="127">结论：</strong>&nbsp;逻辑非常清晰，完全正确！</p>
</blockquote>
<h3 data-path-to-node="34">测试三：前端代码编程</h3>
<blockquote data-path-to-node="35">
<p data-path-to-node="35,0"><strong data-path-to-node="35,0" data-index-in-node="0">要求：</strong>&nbsp;编写一个 3D 鱼缸场景，水、水草和鱼要有真实感。&nbsp;<strong data-path-to-node="35,0" data-index-in-node="30">结果：</strong>&nbsp;它不仅提供了 HTML，还一并写好了 CSS 样式和 JS 代码。将代码复制到电脑上运行后，视觉效果非常逼真。作为一个手机端本地运行的小模型，能达到这种渲染水准令人惊艳。</p>
<p data-path-to-node="35,0"><img class="alignnone size-full wp-image-23680" title="零成本！普通手机跑最强 Gemma 4 模型 (原生多模态)，安卓+iPhone 部署实测体验！ 9" src="https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_07_56_19.Still018-scaled.webp" sizes="auto, (max-width: 2560px) 100vw, 2560px" srcset="https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_07_56_19.Still018-scaled.webp 2560w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_07_56_19.Still018-748x421.webp 748w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_07_56_19.Still018-768x432.webp 768w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_07_56_19.Still018-1536x864.webp 1536w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_07_56_19.Still018-2048x1152.webp 2048w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_07_56_19.Still018-520x293.webp 520w, https://www.freedidi.com/wp-content/uploads/2026/04/2026-04-06-16-39-57.00_07_56_19.Still018-940x529.webp 940w" alt="2026 04 06 16 39 57.00 07 56 19.Still018 scaled" width="2560" height="1440" loading="lazy"></p>
</blockquote>
<h3 data-path-to-node="36">测试四：医疗物品识别安全机制</h3>
<p data-path-to-node="37">我拍了一盒&ldquo;瑞巴派特片&rdquo;给它。它准确识别出了药片名称，但立刻触发了安全机制，表示&ldquo;由于涉及身体和健康产品，无法提供医疗建议，请务必咨询医生&rdquo;。表现得非常严谨。</p>
</div>
<p data-path-to-node="37"><img class="alignnone size-full wp-image-23679 aligncenter" title="零成本！普通手机跑最强 Gemma 4 模型 (原生多模态)，安卓+iPhone 部署实测体验！ 10" src="https://www.freedidi.com/wp-content/uploads/2026/04/%E5%B1%8F%E5%B9%95%E6%88%AA%E5%9B%BE-2026-04-06-211503.webp" sizes="auto, (max-width: 929px) 100vw, 929px" srcset="https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211503.webp 929w, https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211503-601x421.webp 601w, https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211503-768x538.webp 768w, https://www.freedidi.com/wp-content/uploads/2026/04/屏幕截图-2026-04-06-211503-520x364.webp 520w" alt="屏幕截图 2026 04 06 211503" width="929" height="651" loading="lazy"></p>
<div>
<h2 data-path-to-node="39">终极考验：断网飞行模式测试</h2>
<p data-path-to-node="40">为了验证它的纯离线真伪，我<strong data-path-to-node="40" data-index-in-node="13">断开了所有网络并开启了飞行模式</strong>。</p>
<ol start="1" data-path-to-node="41">
<li>
<p data-path-to-node="41,0,0"><strong data-path-to-node="41,0,0" data-index-in-node="0">写长篇小说：</strong>&nbsp;让它写一篇 5000 字左右的恐怖小说。它在完全离线的状态下，使用繁体字分章输出，仅用时 1 分钟左右就完成了创作。</p>
</li>
<li>
<p data-path-to-node="41,1,0"><strong data-path-to-node="41,1,0" data-index-in-node="0">微距视觉推理：</strong>&nbsp;在离线状态下发给它一张包含大象和蚂蚁的画。它准确识别出了大象头部，并声明&ldquo;由于细节非常小，对蚂蚁的识别是基于微小尺寸的推测&rdquo;。离线多模态能力确实靠谱。</p>
</li>
</ol>
<h3 data-path-to-node="42">总结与资源获取</h3>
<p data-path-to-node="43">Gemma 4 模型在手机端的本地离线表现远远超出了我的预期，无论是生成速度、逻辑推理还是多模态视觉，都达到了相当高的可用级别。</p>
</div>