docs: publish FunASR v1.4.14 release guide

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+  <title>FunASR v1.4.14：可移植源码包、MOSS 入口与十平台运行时 | FunASR</title>
+  <meta name="description" content="FunASR v1.4.14 修复 Git archive 与源码安装的可移植性，补齐 MOSS-Transcribe-Diarize 服务和模型入口，并提供 PyPI 包、十个平台 llama.cpp 运行时与 SHA-256 清单。">
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+  <meta property="og:title" content="FunASR v1.4.14：可移植源码包、MOSS 入口与十平台运行时">
+  <meta property="og:description" content="源码归档与源码安装更可移植，MOSS 服务入口更完整，一个发布页覆盖 Python 包与十个平台运行时。">
+  <meta property="og:type" content="article">
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+  </style>
+</head>
+<body>
+<nav class="nav"><div class="container"><a href="/" class="nav-logo">Fun<span>ASR</span></a><div class="nav-links"><a href="/deploy/">部署</a><a href="/models.html">模型</a><a href="/benchmarks.html">性能</a><a href="/ecosystem.html">生态</a><a href="/blog/">博客</a><a href="/donors.html">功德榜</a></div><a href="/en/blog/funasr-v1-4-14-portable-source-release.html" style="font-size:.83rem;font-weight:500;color:var(--text-soft)">EN</a><a href="/go/github" target="_blank" rel="noopener" class="nav-btn">GitHub ★</a></div></nav>
+<article><div class="container">
+  <h1>FunASR v1.4.14：可移植源码包、MOSS 入口与十平台运行时</h1>
+  <p class="post-meta">2026-09-04 · FunASR 正式发布</p>
+  <img class="hero-media" src="/img/banner.4f436d19.png?v=1.4.14" alt="FunASR v1.4.14 发布视觉图">
+  <p class="lead">FunASR v1.4.14 让 Git archive 和源码安装路径更可移植，同时补齐 MOSS-Transcribe-Diarize 在模型、部署与服务文档中的发现入口，并延续更稳健的实时服务默认值。</p>
+
+  <h2>安装与源码边界</h2>
+  <pre><code>python -m pip install -U "funasr==1.4.14"</code></pre>
+  <p>正式包位于 <a href="https://pypi.org/project/funasr/1.4.14/" target="_blank" rel="noopener">PyPI 1.4.14</a>。wheel SHA-256 为 <code>8f1bceeb183359fb44402dea16200415a838da314742aa0c80752efe0e229e6c</code>，sdist SHA-256 为 <code>5dd3ab30f6f2f26207992173a1da54d2f0f3f74f64d0823a05a9eab9f93a704f</code>。</p>
+  <div class="proof">源码归档修复面向 Git archive 与 source install 的可移植性，不改变 wheel 用户的安装命令；MOSS-Transcribe-Diarize 仍是第三方模型路径，应按对应部署文档验证模型、显存与服务边界。</div>
+
+  <h2>发布验证</h2>
+  <p>签名标签 <code>v1.4.14</code> 精确指向 <code>a23946a8b3e9146f9bf80e18f768298f0cd000b7</code>。审计重新执行 210 项发布、文档与站点回归，并通过 compileall、PEP 517 构建、Twine、隔离 wheel 安装和 public PyPI 回源校验；重建 wheel/sdist 的解包内容与公网制品零差异。</p>
+
+  <h2>12 个 v1.4.14 资产与 Blackwell 独立运行时</h2>
+  <p><a href="https://github.com/modelscope/FunASR/releases/tag/v1.4.14" target="_blank" rel="noopener">v1.4.14 Release</a> 固定复用 <a href="https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.6" target="_blank" rel="noopener">runtime-llamacpp-v0.2.6</a>。v1.4.14 页面共 12 个资产：2 个 Python 制品、9 个镜像运行时和 1 份校验清单；第 10 个 Blackwell 运行时保留在独立运行时发布页：</p>
+  <ul>
+    <li>Python：<code>funasr-1.4.14-py3-none-any.whl</code>、<code>funasr-1.4.14.tar.gz</code></li>
+    <li>Linux：<code>funasr-llamacpp-linux-arm64.tar.gz</code>、<code>funasr-llamacpp-linux-x64.tar.gz</code>、<code>funasr-llamacpp-linux-x64-avx2.tar.gz</code>、<code>funasr-llamacpp-linux-x64-vulkan.tar.gz</code></li>
+    <li>macOS：<code>funasr-llamacpp-macos-arm64.tar.gz</code></li>
+    <li>Windows 镜像：<code>funasr-llamacpp-windows-x64.zip</code>、<code>funasr-llamacpp-windows-x64-avx2.zip</code>、<code>funasr-llamacpp-windows-x64-cuda.zip</code>、<code>funasr-llamacpp-windows-x64-vulkan.zip</code></li>
+    <li>Blackwell 独立运行时：<a href="https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.6/funasr-llamacpp-windows-x64-cuda-blackwell.zip" target="_blank" rel="noopener"><code>funasr-llamacpp-windows-x64-cuda-blackwell.zip</code></a></li>
+    <li>校验：<code>SHA256SUMS</code></li>
+  </ul>
+  <pre><code>sha256sum -c SHA256SUMS</code></pre>
+  <p>按硬件选择、启动命令、烟测和已知边界见<a href="/deploy/llama-cpp.html"> llama.cpp 工业部署页</a>；GPU 服务可继续参考 <a href="/deploy/vllm.html">vLLM 部署页</a>。</p>
+
+  <div class="cta"><p>从固定版本和可校验资产开始，在目标硬件与真实业务音频上复测后再上线。</p><a class="btn" href="https://github.com/modelscope/FunASR/releases/tag/v1.4.14" target="_blank" rel="noopener">查看 v1.4.14 的 12 个资产</a></div>
+</div></article>
+<footer><div class="container">© 2024-2026 Tongyi Lab, Alibaba Group · <a href="https://github.com/modelscope/FunASR/blob/main/LICENSE">MIT License</a></div></footer>
+</body>
+</html>