提交vllm0.11.0开发分支
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README.md
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README.md
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<p align="center">
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<a href="https://vllm-kunlun.readthedocs.io/en/latest/"><b>Documentation</b></a> |
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<a href="https://join.slack.com/t/vllm-kunlun/shared_invite/zt-3iinb8u5z-FcqZKbNNdMJ_32fHmipzvw"><b>slack</b></a> |
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<a href="./docs/_build/html/documentation.html"><b>Documentation</b></a> |
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<a href=""><b>Users Forum</b></a> |
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<a href="join.slack.com/t/vllm-kunlun/shared_invite/zt-3iinb8u5z-FcqZKbNNdMJ_32fHmipzvwjoin.slack.com/t/vllm-kunlun/shared_invite/zt-3iinb8u5z-FcqZKbNNdMJ_32fHmipzvw"><b>slack</b></a> |
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</p>
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---
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## Latest News🔥
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- [2025/12] Initial release of vLLM Kunlun
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- [2025/11]
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- [2025/11]
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- [2025/11]
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- [2025/11] Initial release of vLLM Kunlun
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---
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@@ -30,28 +34,107 @@ By utilizing the vLLM Kunlun plugin, popular open-source models, including Trans
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---
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## Supported Models
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<style>
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table {
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width: 100%;
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border-collapse: collapse;
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background: white;
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margin: 20px 0;
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box-shadow: 0 2px 8px rgba(0, 0, 0, 0.08);
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border-radius: 8px;
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overflow: hidden;
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}
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th {
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background: linear-gradient(135deg, #0E7DC6 0%, #0A5BA8 100%);
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color: white;
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padding: 14px 12px;
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text-align: left;
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font-weight: 600;
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font-size: 13px;
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letter-spacing: 0.5px;
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border: none;
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}
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td {
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padding: 12px;
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border-bottom: 1px solid #e8e8e8;
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font-size: 13px;
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color: #333;
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}
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tr:last-child td {
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border-bottom: none;
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}
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tbody tr {
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transition: background-color 0.2s ease;
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}
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tbody tr:hover {
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background-color: #f5faff;
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}
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tbody tr:nth-child(even) {
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background-color: #fafbfc;
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}
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tbody tr:nth-child(even):hover {
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background-color: #f0f7fc;
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}
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.status-support {
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color: #22863a;
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font-weight: 600;
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font-size: 14px;
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}
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.status-progress {
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color: #f6a909;
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font-weight: 600;
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font-size: 14px;
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}
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.status-coming {
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color: #999;
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font-size: 12px;
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background-color: #f5f5f5;
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padding: 2px 6px;
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border-radius: 3px;
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display: inline-block;
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}
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.model-name {
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font-weight: 500;
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color: #1e40af;
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}
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h3 {
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color: #1e40af;
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font-size: 16px;
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margin-top: 30px;
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margin-bottom: 15px;
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font-weight: 600;
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}
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h3:first-of-type {
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margin-top: 0;
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}
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</style>
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<h3>Generaltive Models</h3>
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<table>
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<thead>
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<tr>
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<th width="23%">Model</th>
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<th width="20%">Model</th>
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<th width="12%">Support</th>
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<th width="15%">Quantization</th>
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<th width="10%">LoRA</th>
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<th width="20%">Piecewise Kunlun Graph</th>
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<th width="20%">Note</th>
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<th width="23%">Note</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td class="model-name">Qwen2/2.5</td>
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<td class="status-support">✅</td>
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<td></td>
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<td class="status-support">✅</td>
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<td class="status-support">✅</td>
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<td></td>
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</tr>
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<tr>
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<td class="model-name">Qwen3</td>
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<td class="status-support">✅</td>
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@@ -61,7 +144,7 @@ By utilizing the vLLM Kunlun plugin, popular open-source models, including Trans
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<td></td>
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</tr>
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<tr>
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<td class="model-name">Qwen3-Moe/Coder</td>
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<td class="model-name">Qwen3-Moe</td>
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<td class="status-support">✅</td>
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<td class="status-support">✅</td>
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<td class="status-support">✅</td>
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@@ -69,53 +152,13 @@ By utilizing the vLLM Kunlun plugin, popular open-source models, including Trans
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<td></td>
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</tr>
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<tr>
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<td class="model-name">QwQ-32B</td>
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<td class="status-support">✅</td>
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<td></td>
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<td></td>
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<td class="status-support">✅</td>
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<td></td>
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</tr>
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<tr>
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<td class="model-name">LLama2/3/3.1</td>
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<td class="status-support">✅</td>
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<td></td>
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<td></td>
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<td class="status-support">✅</td>
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<td></td>
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</tr>
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<tr>
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<td class="model-name">GLM-4.5/Air</td>
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<td class="model-name">Qwen3-Next</td>
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<td class="status-support">✅</td>
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<td class="status-support">✅</td>
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<td class="status-support">✅</td>
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<td class="status-support">✅</td>
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<td></td>
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</tr>
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<tr>
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<td class="model-name">Qwen3next</td>
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<td class="status-progress">⚠️</td>
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<td></td>
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<td></td>
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<td></td>
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<td><span class="status-coming">comming soon</span></td>
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</tr>
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<tr>
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<td class="model-name">Gpt oss</td>
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<td class="status-progress">⚠️</td>
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<td></td>
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<td></td>
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<td></td>
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<td><span class="status-coming">comming soon</span></td>
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</tr>
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<tr>
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<td class="model-name">Deepseek v3/3.2</td>
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<td class="status-progress">⚠️</td>
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<td></td>
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<td></td>
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<td></td>
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<td><span class="status-coming">comming soon</span></td>
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</tr>
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</tbody>
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</table>
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</thead>
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<tbody>
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<tr>
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<td class="model-name">Qianfan-VL</td>
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<td class="model-name">Qwen3-VL</td>
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<td class="status-support">✅</td>
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<td></td>
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<td></td>
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<td class="status-support">✅</td>
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<td></td>
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</tr>
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<tr>
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<td class="model-name">Qwen2.5VL</td>
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<td class="status-support">✅</td>
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<td></td>
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<td></td>
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<td class="status-support">✅</td>
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<td></td>
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</tr>
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<tr>
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<td class="model-name">InternVL2.5/3/3.5</td>
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<td class="status-support">✅</td>
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<td></td>
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<td></td>
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<td class="status-support">✅</td>
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<td></td>
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</tr>
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<tr>
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<td class="model-name">InternVL3.5</td>
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<td class="status-support">✅</td>
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<td></td>
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<td></td>
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<td class="status-support">✅</td>
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<td></td>
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</tr>
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<tr>
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<td class="model-name">InternS1</td>
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<td class="status-support">✅</td>
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<td></td>
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<td></td>
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<td class="status-support">✅</td>
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<td></td>
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</tr>
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<tr>
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<td class="model-name">Qwen2.5 omini</td>
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<td class="status-progress">⚠️</td>
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<td></td>
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<td></td>
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<td></td>
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<td><span class="status-coming">comming soon</span></td>
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</tr>
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<tr>
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<td class="model-name">Qwen3vl</td>
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<td class="status-progress">⚠️</td>
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<td></td>
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<td></td>
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<td></td>
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<td><span class="status-coming">comming soon</span></td>
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</tr>
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</tbody>
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</table>
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@@ -207,17 +202,17 @@ Please use the following recommended versions to get started quickly:
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| Version | Release type | Doc |
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|----------|---------------|-----|
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| v0.10.1.1 | Latest stable version | [QuickStart](https://vllm-kunlun.readthedocs.io/en/latest/quick_start.html) and [Installation](https://vllm-kunlun.readthedocs.io/en/latest/installation.html) for more details |
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| v0.11.0 | Latest stable version | [QuickStart](./docs/_build/html/quick_start.html) and [Installation](./docs/_build/html/installation.html) for more details |
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---
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## Contributing
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See [CONTRIBUTING](https://vllm-kunlun.readthedocs.io/en/latest/developer_guide/contribution/index.html) for more details, which is a step-by-step guide to help you set up the development environment, build, and test.
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See [CONTRIBUTING]() for more details, which is a step-by-step guide to help you set up the development environment, build, and test.
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We welcome and value any contributions and collaborations:
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- Open an [Issue](https://github.com/baidu/vLLM-Kunlun/issues) if you find a bug or have a feature request
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- Open an [Issue]() if you find a bug or have a feature request
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## License
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Apache License 2.0, as found in the [LICENSE](https://github.com/baidu/vLLM-Kunlun/blob/main/LICENSE.txt) file.
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Apache License 2.0, as found in the [LICENSE](./LICENSE) file.
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