modelscope · LauraGPT · Aug 11, 2026 · Aug 11, 2026
diff --git a/web-pages/product-site/data/deployments.json b/web-pages/product-site/data/deployments.json
@@ -1,6 +1,6 @@
 {
   "schema_version": 1,
-  "verified": "2026-08-04",
+  "verified": "2026-08-11",
   "deployments": [
     {
       "id": "vllm",
@@ -157,16 +157,28 @@
       "models": ["SenseVoiceSmall-GGUF", "Paraformer-GGUF", "Fun-ASR-Nano-GGUF", "FSMN-VAD-GGUF"],
       "operating_systems": ["Linux", "macOS", "Windows"],
       "interfaces": ["CLI", "local HTTP server"],
-      "tested": {"funasr": "runtime-llamacpp-v0.1.9", "runtime": "pinned llama.cpp backend", "verified": "2026-07-26"},
+      "tested": {"funasr": "runtime-llamacpp-v0.2.0", "runtime": "llama.cpp@803b7fca", "verified": "2026-08-11"},
       "commands": {
-        "install": ["cmake -B build -DCMAKE_BUILD_TYPE=Release", "cmake --build build -j"],
-        "launch": ["./build/bin/llama-funasr-sensevoice -m funasr-gguf/sensevoice-small-q8.gguf --vad funasr-gguf/fsmn-vad.gguf -a sample.wav"],
-        "health": ["./build/bin/llama-funasr-sensevoice --help"],
-        "smoke": ["./runtime/llama.cpp/tests/run_regression.sh"]
+        "install": ["curl -fLO https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-linux-x64.tar.gz", "echo \"15e6407143b4fb91d90bb37f2a41c64c4d48ea0fbe6404b88a9b70269c84f240  funasr-llamacpp-linux-x64.tar.gz\" | sha256sum -c -", "mkdir funasr-llamacpp && tar -xzf funasr-llamacpp-linux-x64.tar.gz -C funasr-llamacpp && cd funasr-llamacpp && bash download-funasr-model.sh sensevoice ./funasr-gguf f16"],
+        "launch": ["cd funasr-llamacpp && ./llama-funasr-sensevoice -m funasr-gguf/sensevoice-small-f16.gguf --vad funasr-gguf/fsmn-vad.gguf -a sample.wav"],
+        "health": ["cd funasr-llamacpp && ./llama-funasr-sensevoice --help"],
+        "smoke": ["cd funasr-llamacpp && ./llama-funasr-sensevoice -m funasr-gguf/sensevoice-small-f16.gguf --vad funasr-gguf/fsmn-vad.gguf -a sample.wav | tee transcript.txt && test -s transcript.txt"]
       },
+      "downloads": [
+        {"operating_system": "Linux", "architecture": "arm64", "backend": "CPU", "archive": "funasr-llamacpp-linux-arm64.tar.gz", "url": "https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-linux-arm64.tar.gz", "sha256": "c78987b2384c6aef339aea1bcd0e130070455d6394fa7ab7ca26840ead10d5da"},
+        {"operating_system": "Linux", "architecture": "x64", "backend": "CPU", "archive": "funasr-llamacpp-linux-x64.tar.gz", "url": "https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-linux-x64.tar.gz", "sha256": "15e6407143b4fb91d90bb37f2a41c64c4d48ea0fbe6404b88a9b70269c84f240"},
+        {"operating_system": "Linux", "architecture": "x64 AVX2", "backend": "CPU", "archive": "funasr-llamacpp-linux-x64-avx2.tar.gz", "url": "https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-linux-x64-avx2.tar.gz", "sha256": "02e10e9a46ea76a040c45d431efe51a3324e64f08c24d38e18c8a4d2781490cd"},
+        {"operating_system": "Linux", "architecture": "x64", "backend": "Vulkan", "archive": "funasr-llamacpp-linux-x64-vulkan.tar.gz", "url": "https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-linux-x64-vulkan.tar.gz", "sha256": "caf71b8c0b4c3249cebc4175e5406d3c588eb9e8966a00d571d4cc5070405385"},
+        {"operating_system": "macOS", "architecture": "arm64", "backend": "CPU", "archive": "funasr-llamacpp-macos-arm64.tar.gz", "url": "https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-macos-arm64.tar.gz", "sha256": "416cbb289e31cb7575365d382155074e922fd061807a37b9ca0247dabd9bc6f9"},
+        {"operating_system": "Windows", "architecture": "x64", "backend": "CPU", "archive": "funasr-llamacpp-windows-x64.zip", "url": "https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-windows-x64.zip", "sha256": "297c962346d7e30d7a7c2c860dfaab3ff07d01fddf15e6fc5212ca9545441a51"},
+        {"operating_system": "Windows", "architecture": "x64 AVX2", "backend": "CPU", "archive": "funasr-llamacpp-windows-x64-avx2.zip", "url": "https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-windows-x64-avx2.zip", "sha256": "4db0f11f603c324a63545cd7009cdd45bb45576efe282cec22796b5fd42d8ea1"},
+        {"operating_system": "Windows", "architecture": "x64", "backend": "Vulkan", "archive": "funasr-llamacpp-windows-x64-vulkan.zip", "url": "https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-windows-x64-vulkan.zip", "sha256": "90b45240c6ccc9177c25490a11848de60a406e129391c8736b14521c0c28cdcb"},
+        {"operating_system": "Windows", "architecture": "x64", "backend": "CUDA", "archive": "funasr-llamacpp-windows-x64-cuda.zip", "url": "https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-windows-x64-cuda.zip", "sha256": "7f2f9ef4d7e0291b284a295ec74bbeca9ea635a7f5f42d0ad06eb780c0d6efc1"}
+      ],
       "evidence": [
         {"label": "llama.cpp runtime", "url": "https://github.com/modelscope/FunASR/blob/main/runtime/llama.cpp/README.md"},
-        {"label": "runtime release", "url": "https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.9"},
+        {"label": "runtime v0.2.0 release", "url": "https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.0"},
+        {"label": "nine-platform release workflow", "url": "https://github.com/modelscope/FunASR/actions/runs/31458121788"},
         {"label": "regression tests", "url": "https://github.com/modelscope/FunASR/tree/main/runtime/llama.cpp/tests"}
       ],
       "benchmarks": [
@@ -200,27 +212,27 @@
       "translations": {
         "zh": {
           "name": "llama.cpp / GGUF 独立运行",
-          "summary": "使用跨平台预编译包或源码构建，在 CPU、桌面 GPU 和边缘设备上运行 FunASR GGUF 模型。",
-          "fit": ["不依赖 Python ML 环境", "桌面应用和离线边缘部署", "需要 Linux、macOS、Windows 发布包"],
+          "summary": "使用 v0.2.0 的九个预编译包或源码构建，在 CPU、Vulkan、CUDA 和边缘设备上运行 FunASR GGUF 模型。",
+          "fit": ["不依赖 Python ML 环境", "桌面应用和离线边缘部署", "需要 Linux、macOS、Windows 的 CPU、Vulkan 或 CUDA 发布包"],
           "not_fit": ["需要 vLLM 式大批量 GPU 调度", "未验证目标 GPU 架构的通用预编译 CUDA 包", "必须使用完整 Python 模型生态的流程"],
           "selection_reason": "GGUF 运行时和独立二进制优先满足可移植、离线和低依赖部署。",
-          "primary_limitation": "预编译 GPU 包只覆盖标注的后端和架构；其他设备需要从源码构建并实机验证。",
+          "primary_limitation": "预编译 GPU 包只覆盖标注的后端和架构；Windows AMD Vulkan 的崩溃修复仍需问题报告者实机复测，其他设备也必须在目标硬件验证。",
           "status_label": "生产验证",
-          "operations": ["按发布资产 SHA-256 校验下载", "模型和二进制使用同一发布清单", "保留旧二进制和模型目录用于回滚"],
+          "operations": ["按页面列出的 SHA-256 校验九个发布资产", "模型和二进制使用同一发布清单", "保留旧二进制和模型目录用于回滚"],
           "security": ["默认只读取本地音频和模型", "HTTP 服务绑定内网地址并限制上传大小", "不要从不可信地址加载 GGUF"],
-          "troubleshooting": ["CPU 路径先用 q8 模型验证", "CUDA 和 Vulkan 必须匹配本机驱动", "用仓库回归脚本区分模型问题与构建问题"]
+          "troubleshooting": ["CPU 路径先用 q8 模型验证", "CUDA 和 Vulkan 必须匹配本机驱动", "Windows AMD Vulkan 异常时记录 GPU、驱动、GGML_VK_MAX_NODES_PER_SUBMIT 和 GGML_VK_SERIALIZE_SUBMISSIONS 后回报"]
         },
         "en": {
           "name": "llama.cpp / GGUF standalone",
-          "summary": "Use cross-platform release packages or source builds to run FunASR GGUF models on CPUs, desktop GPUs, and edge devices.",
-          "fit": ["No Python ML environment", "Desktop applications and offline edge deployment", "Linux, macOS, and Windows release packages"],
+          "summary": "Use the nine v0.2.0 release packages or source builds to run FunASR GGUF models on CPU, Vulkan, CUDA, and edge devices.",
+          "fit": ["No Python ML environment", "Desktop applications and offline edge deployment", "CPU, Vulkan, or CUDA packages for Linux, macOS, and Windows"],
           "not_fit": ["vLLM-style large GPU batch scheduling", "A universal prebuilt CUDA package for an unverified GPU architecture", "Workflows that require the full Python model ecosystem"],
           "selection_reason": "GGUF runtimes and standalone binaries prioritize portability, offline use, and low dependency count.",
-          "primary_limitation": "Prebuilt GPU packages cover only the documented backend and architecture; other devices require a source build and hardware validation.",
+          "primary_limitation": "Prebuilt GPU packages cover only the documented backend and architecture; the Windows AMD Vulkan crash fix still awaits reporter hardware confirmation, and every other target also requires hardware validation.",
           "status_label": "Production verified",
-          "operations": ["Verify release assets with SHA-256", "Keep models and binaries on the same release manifest", "Retain the previous binary and model directory for rollback"],
+          "operations": ["Verify all nine release assets against the listed SHA-256 values", "Keep models and binaries on the same release manifest", "Retain the previous binary and model directory for rollback"],
           "security": ["Read local audio and models by default", "Bind the HTTP server to a private address and limit uploads", "Do not load GGUF files from untrusted sources"],
-          "troubleshooting": ["Validate the q8 CPU path first", "Match CUDA or Vulkan to the local driver", "Use repository regression scripts to separate model and build failures"]
+          "troubleshooting": ["Validate the q8 CPU path first", "Match CUDA or Vulkan to the local driver", "For Windows AMD Vulkan failures, record the GPU, driver, GGML_VK_MAX_NODES_PER_SUBMIT, and GGML_VK_SERIALIZE_SUBMISSIONS before reporting"]
         }
       }
     },

diff --git a/web-pages/product-site/registry.py b/web-pages/product-site/registry.py
@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 import json
+import re
 from pathlib import Path
 from typing import Any
 from urllib.parse import urlparse
@@ -45,6 +46,7 @@
     'source',
     'verified',
 )
+DOWNLOAD_FIELDS = ('operating_system', 'architecture', 'backend', 'archive', 'url', 'sha256')
 
 
 def load_registry(path: Path) -> dict[str, Any]:
@@ -161,6 +163,30 @@ def validate_registry(data: dict[str, Any]) -> list[str]:
                         f'{label}: production-verified entry requires {field_name}'
                     )
 
+        downloads = entry.get('downloads', [])
+        if not isinstance(downloads, list):
+            errors.append(f'{label}: downloads must be a list')
+        else:
+            for download_index, download in enumerate(downloads):
+                if not isinstance(download, dict):
+                    errors.append(f'{label}: download {download_index} must be an object')
+                    continue
+                for field in DOWNLOAD_FIELDS:
+                    if not download.get(field):
+                        errors.append(
+                            f'{label}: download {download_index} requires {field}'
+                        )
+                if not _is_https_url(download.get('url')):
+                    errors.append(
+                        f'{label}: download URL must use https (item {download_index})'
+                    )
+                digest = download.get('sha256')
+                if not isinstance(digest, str) or not re.fullmatch(r'[0-9a-f]{64}', digest):
+                    errors.append(
+                        f'{label}: download SHA-256 must be 64 lowercase hex characters '
+                        f'(item {download_index})'
+                    )
+
         benchmarks = entry.get('benchmarks', [])
         if not isinstance(benchmarks, list):
             errors.append(f'{label}: benchmarks must be a list')

diff --git a/web-pages/product-site/templates/deploy-detail.html b/web-pages/product-site/templates/deploy-detail.html
@@ -46,6 +46,39 @@ <h3>{{ '不适合' if language == 'zh' else 'Not a fit' }}</h3>
   </div>
 </section>
 
+{% set downloads = entry.get('downloads', []) %}
+{% if downloads %}
+<section class="section content-section" data-section="downloads">
+  <div class="section-heading compact-heading">
+    <p class="eyebrow">{{ '发布资产' if language == 'zh' else 'Release assets' }}</p>
+    <h2>{{ '按操作系统和后端下载已校验的预编译包' if language == 'zh' else 'Download a verified package for your operating system and backend' }}</h2>
+    <p>{{ 'SHA-256 来自公开 GitHub Release；下载后先核对摘要，再在目标硬件完成 smoke test。' if language == 'zh' else 'SHA-256 values come from the public GitHub Release. Verify the digest, then run a smoke test on the target hardware.' }}</p>
+  </div>
+  <div class="table-wrap download-table">
+    <table>
+      <thead><tr>
+        <th>{{ '系统' if language == 'zh' else 'OS' }}</th>
+        <th>{{ '架构' if language == 'zh' else 'Architecture' }}</th>
+        <th>{{ '后端' if language == 'zh' else 'Backend' }}</th>
+        <th>{{ '下载' if language == 'zh' else 'Download' }}</th>
+        <th>SHA-256</th>
+      </tr></thead>
+      <tbody>
+      {% for item in downloads %}
+        <tr data-download-asset>
+          <td>{{ item.operating_system }}</td>
+          <td>{{ item.architecture }}</td>
+          <td>{{ item.backend }}</td>
+          <td><a href="{{ item.url }}">{{ item.archive }}</a></td>
+          <td><code data-field="sha256">{{ item.sha256 }}</code></td>
+        </tr>
+      {% endfor %}
+      </tbody>
+    </table>
+  </div>
+</section>
+{% endif %}
+
 <section id="commands" class="section content-section command-section" data-section="commands">
   <div class="section-heading compact-heading">
     <p class="eyebrow">{{ '运行路径' if language == 'zh' else 'Run path' }}</p>

diff --git a/web-pages/product-site/tests/browser/product-site.spec.ts b/web-pages/product-site/tests/browser/product-site.spec.ts
@@ -90,6 +90,45 @@ test('selector, language peers, copy, and compatibility routes work', async ({ b
   await context.close();
 });
 
+for (const viewport of [
+  { name: 'mobile', width: 390, height: 844 },
+  { name: 'desktop', width: 1440, height: 900 },
+]) {
+  test(`llama.cpp v0.2.0 download matrix is stable at ${viewport.name}`, async ({ page }, testInfo) => {
+    await page.setViewportSize(viewport);
+    await page.goto('/deploy/llama-cpp.html');
+
+    const section = page.locator('[data-section="downloads"]');
+    await expect(section.locator('[data-download-asset]')).toHaveCount(9);
+    await expect(section.locator('a[href*="runtime-llamacpp-v0.2.0"]')).toHaveCount(9);
+    await expect(page.getByText('Windows AMD Vulkan', { exact: false }).first()).toBeVisible();
+
+    await section.evaluate((node) => node.scrollIntoView({ block: 'start' }));
+
+    const layout = await page.evaluate(() => {
+      const tableWrap = document.querySelector<HTMLElement>('.download-table');
+      const header = document.querySelector<HTMLElement>('.site-header');
+      const heading = document.querySelector<HTMLElement>('[data-section="downloads"] .section-heading');
+      return {
+        overflow: document.documentElement.scrollWidth - document.documentElement.clientWidth,
+        tableClientWidth: tableWrap?.clientWidth ?? 0,
+        tableScrollWidth: tableWrap?.scrollWidth ?? 0,
+        headerBottom: header?.getBoundingClientRect().bottom ?? 0,
+        headingTop: heading?.getBoundingClientRect().top ?? 0,
+      };
+    });
+    expect(layout.overflow).toBeLessThanOrEqual(1);
+    expect(layout.tableClientWidth).toBeGreaterThan(0);
+    expect(layout.tableScrollWidth).toBeGreaterThanOrEqual(layout.tableClientWidth);
+    expect(layout.headingTop).toBeGreaterThanOrEqual(layout.headerBottom + 8);
+
+    await page.screenshot({
+      path: testInfo.outputPath(`llama-cpp-downloads-${viewport.name}.png`),
+      fullPage: true,
+    });
+  });
+}
+
 for (const viewport of [
   { name: 'mobile', width: 390, height: 844 },
   { name: 'desktop', width: 1440, height: 900 },

diff --git a/web-pages/product-site/tests/test_output.py b/web-pages/product-site/tests/test_output.py
@@ -58,6 +58,25 @@ def test_detail_commands_come_from_registry(built_site):
             assert command in rendered
 
 
+@pytest.mark.parametrize(
+    ('relative', 'boundary'),
+    (
+        ('deploy/llama-cpp.html', 'Windows AMD'),
+        ('en/deploy/llama-cpp.html', 'Windows AMD'),
+    ),
+)
+def test_llama_cpp_pages_render_v020_download_matrix(built_site, relative, boundary):
+    soup = read_soup(built_site / relative)
+    section = soup.select_one('[data-section="downloads"]')
+
+    assert section
+    rows = section.select('[data-download-asset]')
+    assert len(rows) == 9
+    assert all(row.select_one('a[href*="runtime-llamacpp-v0.2.0"]') for row in rows)
+    assert all(len(row.select_one('[data-field="sha256"]').get_text(strip=True)) == 64 for row in rows)
+    assert boundary in soup.get_text(' ', strip=True)
+
+
 def test_benchmark_rows_have_complete_conditions(built_site):
     registry = load_registry(SITE_ROOT / 'data' / 'deployments.json')
     records = [record for entry in registry['deployments'] for record in entry['benchmarks']]

diff --git a/web-pages/product-site/tests/test_registry.py b/web-pages/product-site/tests/test_registry.py
@@ -118,6 +118,51 @@ def test_sensevoice_tensorrt_contract_tracks_merged_native_runtime(valid_registr
     assert 'tensorrt version' in limitation
 
 
+def test_llama_cpp_contract_tracks_v020_release_assets(valid_registry):
+    entry = next(item for item in valid_registry['deployments'] if item['id'] == 'llama-cpp')
+
+    assert entry['tested'] == {
+        'funasr': 'runtime-llamacpp-v0.2.0',
+        'runtime': 'llama.cpp@803b7fca',
+        'verified': '2026-08-11',
+    }
+    assert len(entry['downloads']) == 9
+    assert {item['archive'] for item in entry['downloads']} == {
+        'funasr-llamacpp-linux-arm64.tar.gz',
+        'funasr-llamacpp-linux-x64.tar.gz',
+        'funasr-llamacpp-linux-x64-avx2.tar.gz',
+        'funasr-llamacpp-linux-x64-vulkan.tar.gz',
+        'funasr-llamacpp-macos-arm64.tar.gz',
+        'funasr-llamacpp-windows-x64.zip',
+        'funasr-llamacpp-windows-x64-avx2.zip',
+        'funasr-llamacpp-windows-x64-vulkan.zip',
+        'funasr-llamacpp-windows-x64-cuda.zip',
+    }
+    assert all(item['url'].startswith(
+        'https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/'
+    ) for item in entry['downloads'])
+    assert all(len(item['sha256']) == 64 for item in entry['downloads'])
+    assert any('actions/runs/31458121788' in item['url'] for item in entry['evidence'])
+    assert any(
+        'download-funasr-model.sh sensevoice ./funasr-gguf f16' in command
+        for command in entry['commands']['install']
+    )
+    assert 'sensevoice-small-f16.gguf' in entry['commands']['launch'][0]
+    assert 'AMD' in entry['translations']['en']['primary_limitation']
+
+
+def test_download_assets_require_https_and_sha256(valid_registry):
+    data = copy.deepcopy(valid_registry)
+    entry = next(item for item in data['deployments'] if item['id'] == 'llama-cpp')
+    entry['downloads'][0]['url'] = 'http://example.com/runtime.tar.gz'
+    entry['downloads'][1]['sha256'] = 'not-a-sha256'
+
+    errors = validate_registry(data)
+
+    assert 'llama-cpp: download URL must use https (item 0)' in errors
+    assert 'llama-cpp: download SHA-256 must be 64 lowercase hex characters (item 1)' in errors
+
+
 def test_production_entry_requires_evidence(valid_registry):
     data = copy.deepcopy(valid_registry)
     entry = next(item for item in data['deployments'] if item['maturity'] == 'production-verified')