{"id":86705,"date":"2026-07-29T05:40:21","date_gmt":"2026-07-28T21:40:21","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/86705.html"},"modified":"2026-07-29T05:40:21","modified_gmt":"2026-07-28T21:40:21","slug":"openclaw%e7%9c%81%e9%92%b1%e8%ae%a1%e5%88%922%ef%bc%9a%e5%a4%9a%e5%8d%a1%e6%9c%8d%e5%8a%a1%e5%99%a8%e4%b8%8a%e7%9a%84ollama%e4%b8%8evllm%e9%83%a8%e7%bd%b2%e5%ae%9e%e6%b5%8b%ef%bc%88qwen3-5%ef%bc%89","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/86705.html","title":{"rendered":"OpenClaw\u7701\u94b1\u8ba1\u52122\uff1a\u591a\u5361\u670d\u52a1\u5668\u4e0a\u7684Ollama\u4e0evLLM\u90e8\u7f72\u5b9e\u6d4b\uff08Qwen3.5\uff09"},"content":{"rendered":"<p>\u4e66\u63a5\u4e0a\u56de&#xff0c;\u4e3b\u5305\u7ec8\u4e8e\u902e\u5230\u673a\u4f1a\u5728\u4e00\u53f0\u516b\u5361\u670d\u52a1\u5668\u4e0a\u7ee7\u7eed\u63a8\u8fdb\u9f99\u867e\u517b\u6210\u8ba1\u5212\u3002\u8fd9\u56de\u663e\u5b58\u7ba1\u591f&#xff0c;\u8db3\u4ee5\u585e\u4e0b\u4e00\u4e2a\u5b8c\u6574\u7684 Qwen3.5-27B\u3002\u8d81\u70ed\u6253\u94c1&#xff0c;\u4e3b\u5305\u8fd8\u51c6\u5907\u5bf9\u8f83\u706b\u7684Ollama \u548c vLLM\u8fd9\u4e24\u4e2a\u63a8\u7406\u90e8\u7f72\u6846\u67b6\u5b9e\u6d4b\u8fdb\u884c\u5b9e\u6218\u6d4b\u8bd5&#xff0c;\u770b\u770b\u8c01\u66f4\u80fd\u6253\u3002<\/p>\n<p>\u670d\u52a1\u5668\u914d\u7f6e&#xff1a; CPU&#xff1a;Intel\u00ae Xeon\u00ae Gold 6242R GPU&#xff1a;8\u53612080Ti 11GB \u7cfb\u7edf&#xff1a;Ubuntu 22.04 LTS<\/p>\n<h3>1&#xff09;\u6846\u67b6\u5b89\u88c5<\/h3>\n<h4>1.1 \u5b89\u88c5 Ollama<\/h4>\n<p>\u4f7f\u7528\u5b98\u7f51\u811a\u672c\u4e00\u952e\u5b89\u88c5&#xff1a;<\/p>\n<p><span class=\"token function\">curl<\/span> <span class=\"token parameter variable\">-fsSL<\/span> https:\/\/ollama.com\/install.sh <span class=\"token operator\">|<\/span> <span class=\"token function\">sh<\/span><\/p>\n<h4>1.2 \u5b89\u88c5 vLLM<\/h4>\n<p>\u5b98\u65b9\u63a8\u8350\u7528 uv \u7ba1\u7406\u73af\u5883&#xff08;\u793a\u4f8b Python 3.12&#xff09;&#xff1a;<\/p>\n<p>uv venv <span class=\"token parameter variable\">&#8211;python<\/span> <span class=\"token number\">3.12<\/span> <span class=\"token parameter variable\">&#8211;seed<\/span> &#8211;managed-python<br \/>\n<span class=\"token builtin class-name\">source<\/span> .venv\/bin\/activate<br \/>\nuv pip <span class=\"token function\">install<\/span> vllm &#8211;torch-backend<span class=\"token operator\">&#061;<\/span>auto<\/p>\n<hr \/>\n<h3>2&#xff09;\u6a21\u578b\u4e0b\u8f7d<\/h3>\n<h4>2.1 \u901a\u8fc7 Ollama \u4e0b\u8f7d GGUF \u6a21\u578b&#xff08;\u7528\u4e8e Ollama&#xff09;<\/h4>\n<p>Ollama \u53ef\u76f4\u63a5\u62c9\u53d6\u5bf9\u5e94 GGUF \u683c\u5f0f\u6a21\u578b&#xff1a;<\/p>\n<p>ollama pull qwen3.5:27b<\/p>\n<h4>2.2 \u4ece\u9b54\u5854\u4e0b\u8f7d\u5b8c\u6574\u6a21\u578b&#xff08;\u7528\u4e8e vLLM&#xff09;<\/h4>\n<p>\u9b54\u5854\u793e\u533a\u53ef\u76f4\u63a5\u4e0b\u8f7d\u5343\u95ee 3.5-27B \u5b8c\u6574\u6a21\u578b&#xff08;Qwen3.5-27B&#xff09;\u3002 \u4e0b\u8f7d\u5230\u5f53\u524d\u76ee\u5f55\u4e0b\u7684 .\/models \u6587\u4ef6\u5939\u5185&#xff1a;<\/p>\n<p>modelscope download <span class=\"token parameter variable\">&#8211;model<\/span> Qwen\/Qwen3.5-27B <span class=\"token parameter variable\">&#8211;local_dir<\/span> .\/models\/Qwen\/Qwen3.5-27B<\/p>\n<hr \/>\n<h3>3&#xff09;\u8fd0\u884c\u670d\u52a1<\/h3>\n<h4>3.1 \u542f\u7528 Ollama \u670d\u52a1&#xff08;\u811a\u672c\u65b9\u5f0f&#xff09;<\/h4>\n<p>Ollama \u5b89\u88c5\u540e\u9ed8\u8ba4\u6ce8\u518c\u4e3a\u7cfb\u7edf\u670d\u52a1\u5e76\u81ea\u542f\u52a8\u3002\u4e3a\u4e86\u4fbf\u4e8e\u5f00\u53d1\u8c03\u8bd5&#xff0c;\u5148\u5173\u95ed systemd \u670d\u52a1&#xff1a;<\/p>\n<p><span class=\"token function\">sudo<\/span> systemctl stop ollama<br \/>\n<span class=\"token function\">sudo<\/span> systemctl disable ollama<\/p>\n<p>\u4f7f\u7528 .sh \u811a\u672c\u542f\u52a8 Ollama&#xff08;\u5305\u542b\u5e38\u7528\u73af\u5883\u53d8\u91cf\u914d\u7f6e&#xff09;&#xff1a;<\/p>\n<p><span class=\"token shebang important\">#!\/bin\/bash<\/span><br \/>\n<span class=\"token comment\"># Ollama \u5b8c\u6574\u73af\u5883\u53d8\u91cf\u914d\u7f6e\u811a\u672c<\/span><br \/>\n<span class=\"token comment\"># \u4f7f\u7528\u65b9\u6cd5: source ollama-env.sh &amp;&amp; ollama serve<\/span><br \/>\n<span class=\"token comment\"># \u6216: chmod &#043;x ollama-env.sh &amp;&amp; .\/ollama-env.sh<\/span><\/p>\n<p><span class=\"token comment\"># \u505c\u6b62\u5f53\u524d\u7684 ollama \u8fdb\u7a0b<\/span><br \/>\n<span class=\"token function\">pkill<\/span> ollama<\/p>\n<p><span class=\"token comment\"># \u6307\u5b9a\u4f7f\u7528\u54ea\u5f20 GPU<\/span><br \/>\n<span class=\"token builtin class-name\">export<\/span> <span class=\"token assign-left variable\">CUDA_VISIBLE_DEVICES<\/span><span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;0,1,2,3,4,5,6,7&#034;<\/span><\/p>\n<p><span class=\"token comment\"># \u591a GPU \u65f6\u5f3a\u5236\u5747\u5300\u5206\u5e03<\/span><br \/>\n<span class=\"token comment\"># export OLLAMA_SCHED_SPREAD&#061;1<\/span><\/p>\n<p><span class=\"token comment\"># \u6a21\u578b\u4fdd\u5b58\u65f6\u957f<\/span><br \/>\n<span class=\"token builtin class-name\">export<\/span> <span class=\"token assign-left variable\">OLLAMA_KEEP_ALIVE<\/span><span class=\"token operator\">&#061;<\/span>-1<\/p>\n<p><span class=\"token comment\"># \u5355\u4e2a\u6a21\u578b\u7684\u6700\u5927\u5e76\u884c\u8bf7\u6c42\u6570<\/span><br \/>\n<span class=\"token builtin class-name\">export<\/span> <span class=\"token assign-left variable\">OLLAMA_NUM_PARALLEL<\/span><span class=\"token operator\">&#061;<\/span><span class=\"token number\">2<\/span><br \/>\n<span class=\"token comment\"># \u540c\u65f6\u6700\u5927\u6a21\u578b\u52a0\u8f7d\u6570<\/span><br \/>\n<span class=\"token builtin class-name\">export<\/span> <span class=\"token assign-left variable\">OLLAMA_MAX_LOADED_MODELS<\/span><span class=\"token operator\">&#061;<\/span><span class=\"token number\">2<\/span><\/p>\n<p><span class=\"token builtin class-name\">echo<\/span> <span class=\"token string\">&#034;&#034;<\/span><br \/>\n<span class=\"token builtin class-name\">echo<\/span> <span class=\"token string\">&#034;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#034;<\/span><br \/>\n<span class=\"token builtin class-name\">echo<\/span> <span class=\"token string\">&#034;\u542f\u52a8\u547d\u4ee4: ollama serve&#034;<\/span><br \/>\n<span class=\"token builtin class-name\">echo<\/span> <span class=\"token string\">&#034;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#061;&#034;<\/span><\/p>\n<p><span class=\"token comment\"># \u81ea\u52a8\u542f\u52a8\u670d\u52a1<\/span><br \/>\n<span class=\"token builtin class-name\">read<\/span> <span class=\"token parameter variable\">-p<\/span> <span class=\"token string\">&#034;\u662f\u5426\u7acb\u5373\u542f\u52a8 Ollama \u670d\u52a1? (y\/n): &#034;<\/span> confirm<br \/>\n<span class=\"token keyword\">if<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">[<\/span> <span class=\"token variable\">$confirm<\/span> <span class=\"token operator\">&#061;&#061;<\/span> <span class=\"token string\">&#034;y&#034;<\/span> <span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">;<\/span> <span class=\"token keyword\">then<\/span><br \/>\n    ollama serve<br \/>\n<span class=\"token keyword\">fi<\/span><\/p>\n<p>\u4fdd\u5b58\u540e\u6267\u884c&#xff1a;<\/p>\n<p><span class=\"token builtin class-name\">source<\/span> .\/ollama-env.sh<\/p>\n<p>\u542f\u52a8\u540e\u53ef\u76f4\u63a5\u6d4b\u8bd5&#xff1a;<\/p>\n<ul>\n<li>\u547d\u4ee4\u884c&#xff1a;ollama run qwen3.5:27b<\/li>\n<li>\u6216\u7528 API \u8c03\u7528\u6d4b\u8bd5<\/li>\n<\/ul>\n<hr \/>\n<h4>3.2 \u542f\u52a8 vLLM \u670d\u52a1<\/h4>\n<p>\u4f7f\u7528 vllm serve \u542f\u52a8&#xff08;\u793a\u4f8b\u53c2\u6570\u5982\u4e0b&#xff09;&#xff1a;<\/p>\n<p>vllm serve .\/models\/Qwen3.5-27B <span class=\"token punctuation\">\\\\<\/span><br \/>\n    &#8211;gpu-memory-utilization <span class=\"token number\">0.85<\/span> <span class=\"token punctuation\">\\\\<\/span><br \/>\n    &#8211;tensor-parallel-size <span class=\"token number\">8<\/span> <span class=\"token punctuation\">\\\\<\/span><br \/>\n    &#8211;max-model-len <span class=\"token number\">8192<\/span> <span class=\"token punctuation\">\\\\<\/span><br \/>\n    <span class=\"token parameter variable\">&#8211;dtype<\/span> half <span class=\"token punctuation\">\\\\<\/span><br \/>\n    &#8211;enforce-eager <span class=\"token punctuation\">\\\\<\/span><br \/>\n    &#8211;max-num-seqs <span class=\"token number\">48<\/span><\/p>\n<p>\u770b\u5230\u542f\u52a8\u65e5\u5fd7\u5e76\u663e\u793a\u76d1\u542c\u7aef\u53e3\u7b49\u4fe1\u606f&#xff0c;\u5373\u8868\u793a\u670d\u52a1\u542f\u52a8\u6210\u529f\u3002<\/p>\n<hr \/>\n<p>\u770b\u5230\u201c\u9f99\u867e\u517b\u6210\u8ba1\u5212\u201d\u63a8\u8fdb\u5230 8 \u5361\u5b9e\u6d4b\u9636\u6bb5&#xff0c;\u4e3b\u5305\u8fd9\u6ce2\u786c\u6838\u64cd\u4f5c\u786e\u5b9e\u7ed9\u529b&#xff01;<\/p>\n<p>\u9488\u5bf9\u4f60\u63d0\u4f9b\u7684\u6d4b\u8bd5\u6570\u636e\u548c\u63cf\u8ff0&#xff0c;\u6211\u8fdb\u884c\u4e86\u98ce\u683c\u7edf\u4e00\u5316\u7684\u6da6\u8272\u4e0e\u8c03\u6574\u3002\u4fdd\u6301\u4e86\u4f60\u524d\u9762\u201c\u786c\u6838\u6280\u672f&#043;\u98ce\u8da3\u8868\u8fbe\u201d\u7684\u535a\u6587\u57fa\u8c03&#xff0c;\u540c\u65f6\u5bf9 vLLM \u7684\u5e76\u53d1\u8868\u73b0\u505a\u4e86\u66f4\u5177\u6280\u672f\u6df1\u5ea6\u7684\u8865\u5145\u63cf\u8ff0\u3002<\/p>\n<hr \/>\n<h3>4&#xff09;\u6027\u80fd\u5b9e\u6d4b\u4e0e\u5bf9\u6bd4<\/h3>\n<p>\u4e3a\u4e86\u8d34\u5408 OpenClaw \u7684\u5b9e\u9645\u751f\u4ea7\u573a\u666f&#xff0c;\u672c\u6b21\u6d4b\u8bd5\u7edf\u4e00\u91c7\u7528 API \u8c03\u7528 \u65b9\u5f0f\u538b\u6d4b\u3002<\/p>\n<ul>\n<li>Ollama \u4fa7&#xff1a;\u4f7f\u7528\u5b98\u65b9\u81ea\u52a8\u91cf\u5316\u7684 GGUF \u7248\u672c\u3002<\/li>\n<li>vLLM \u4fa7&#xff1a;\u76f4\u63a5\u8dd1 Qwen \u5b98\u65b9\u7684 FP16 \u5168\u7cbe\u5ea6\u7248\u672c\u3002<\/li>\n<\/ul>\n<h4>4.1 Ollama \u5b9e\u6d4b<\/h4>\n<p>\u5728 8 \u5361 2080 Ti \u8fd9\u79cd\u591a\u8def\u4f4e\u663e\u5b58\u67b6\u6784\u4e0b&#xff0c;Ollama \u7684\u8c03\u5ea6\u903b\u8f91\u663e\u73b0\u51fa\u4e86\u660e\u663e\u7684\u5c40\u9650\u3002<\/p>\n<ul>\n<li>\u5e76\u53d1\u74f6\u9888&#xff1a;\u5c3d\u7ba1\u914d\u7f6e\u4e86 OLLAMA_NUM_PARALLEL&#xff0c;\u4f46\u5728\u5b9e\u6d4b\u4e2d&#xff0c;Ollama \u65e0\u6cd5\u5728\u5f53\u524d\u786c\u4ef6\u73af\u5883\u4e0b\u89e6\u53d1\u591a\u7528\u6237\u5e76\u884c\u5904\u7406\u3002\u5176 serve \u8fdb\u7a0b\u5728\u81ea\u68c0\u9636\u6bb5\u5224\u5b9a\u73af\u5883\u4e0d\u6ee1\u8db3\u5e76\u884c\u6761\u4ef6&#xff0c;\u5bfc\u81f4\u8bf7\u6c42\u8fdb\u5165\u7ebf\u6027\u6392\u961f\u3002<\/li>\n<li>\u63a8\u7406\u4f18\u52bf&#xff1a;\u503c\u5f97\u6ce8\u610f\u7684\u662f&#xff0c;\u5728\u5355\u7528\u6237\u8bbf\u95ee\u65f6&#xff0c;Ollama \u51ed\u501f\u9ad8\u5ea6\u4f18\u5316\u7684 GGUF \u5185\u6838&#xff0c;\u5176\u63a8\u7406\u901f\u5ea6\u4f18\u4e8e vLLM\u3002\u5bf9\u4e8e\u4f4e\u9891\u6b21\u3001\u957f\u56de\u590d\u7684\u5355\u4eba\u573a\u666f&#xff0c;\u5176\u54cd\u5e94\u4f53\u611f\u66f4\u4e3a\u8f7b\u5feb\u3002<\/li>\n<\/ul>\n<h4>4.2 vLLM \u5b9e\u6d4b<\/h4>\n<p>vLLM \u7684\u5e76\u53d1\u8868\u73b0\u5219\u76f8\u5f53\u4f18\u79c0&#xff0c;\u5f97\u76ca\u4e8e PagedAttention \u6280\u672f\u5bf9\u663e\u5b58\u788e\u7247\u7684\u6781\u81f4\u5229\u7528&#xff0c;\u5b83\u5728 8 \u5361\u5e76\u884c\u73af\u5883\u4e0b\u5c55\u73b0\u51fa\u4e86\u6781\u4f73\u7684\u7ebf\u6027\u6269\u5c55\u6027\u3002<\/p>\n<p>\u6d4b\u8bd5\u6570\u636e\u6c47\u603b&#xff08;TPS, Tokens Per Second&#xff09;&#xff1a;<\/p>\n<table>\n<tr>\u5e76\u53d1\u6570vLLM (FP16) TPSOllama (GGUF) TPS<\/tr>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>12.16<\/td>\n<td>20.61<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>22.12<\/td>\n<td>\u65e0\u6cd5\u5e76\u53d1<\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>83.51<\/td>\n<td>&#8211;<\/td>\n<\/tr>\n<tr>\n<td>16<\/td>\n<td>161.57<\/td>\n<td>&#8211;<\/td>\n<\/tr>\n<tr>\n<td>24<\/td>\n<td>244.98<\/td>\n<td>&#8211;<\/td>\n<\/tr>\n<tr>\n<td>32<\/td>\n<td>316.22<\/td>\n<td>&#8211;<\/td>\n<\/tr>\n<tr>\n<td>48<\/td>\n<td>282.00<\/td>\n<td>&#8211;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>4.3 \u7ed3\u679c\u5206\u6790<\/h4>\n<ul>\n<li>\u7ebf\u6027\u589e\u957f&#xff1a;\u5728\u5e76\u53d1\u6570 1-32 \u4e4b\u95f4&#xff0c;vLLM \u7684\u603b\u541e\u5410\u91cf\u51e0\u4e4e\u5448\u7ebf\u6027\u589e\u957f&#xff08;TPS <span class=\"katex--inline\"><span class=\"katex\"><span class=\"katex-mathml\">\n<p>         \u2248<\/p>\n<p>        \\\\approx<\/p>\n<p>     <\/span><span class=\"katex-html\"><span class=\"base\"><span class=\"strut\" style=\"height: 0.4831em\"><\/span><span class=\"mrel\">\u2248<\/span><\/span><\/span><\/span><\/span> \u5355\u7528\u6237 TPS <span class=\"katex--inline\"><span class=\"katex\"><span class=\"katex-mathml\"><\/p>\n<p>         \u00d7<\/p>\n<p>        \\\\times<\/p>\n<p>     <\/span><span class=\"katex-html\"><span class=\"base\"><span class=\"strut\" style=\"height: 0.6667em;vertical-align: -0.0833em\"><\/span><span class=\"mord\">\u00d7<\/span><\/span><\/span><\/span><\/span> \u5e76\u53d1\u6570&#xff09;\u3002\u8fd9\u610f\u5473\u7740 8 \u5f20 2080 Ti \u88ab\u5145\u5206\u69a8\u5e72&#xff0c;\u7b97\u529b\u5206\u914d\u975e\u5e38\u5747\u5300\u3002<\/li>\n<li>\u6027\u80fd\u62d0\u70b9&#xff1a;\u5f53\u5e76\u53d1\u6570\u63a8\u5230 48 \u65f6&#xff0c;\u7531\u4e8e KV Cache \u8017\u5c3d \u89e6\u53d1\u4e86\u9891\u7e41\u7684\u8bf7\u6c42\u6392\u961f\u6216 Swap \u673a\u5236&#xff0c;\u603b TPS \u5f00\u59cb\u6389\u5934\u5411\u4e0b\u3002&#xff08;\u5728KV Cache \u672a\u5b8c\u5168\u8017\u5c3d\u524d&#xff0c;\u89c2\u5bdf\u5230\u8fc7500&#043;\u7684TPS\u5cf0\u503c&#xff09;<\/li>\n<\/ul>\n<hr 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