{"id":59586,"date":"2026-01-14T07:25:52","date_gmt":"2026-01-13T23:25:52","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/59586.html"},"modified":"2026-01-14T07:25:52","modified_gmt":"2026-01-13T23:25:52","slug":"qwen3-vl%e6%a8%a1%e5%9e%8b%e6%89%98%e7%ae%a1%e6%96%b9%e6%a1%88%ef%bc%9a%e9%9a%8f%e7%94%a8%e9%9a%8f%e5%81%9c%ef%bc%8c%e6%af%94%e5%b8%b8%e9%a9%bb%e6%9c%8d%e5%8a%a1%e5%99%a8%e7%9c%8170","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/59586.html","title":{"rendered":"Qwen3-VL\u6a21\u578b\u6258\u7ba1\u65b9\u6848\uff1a\u968f\u7528\u968f\u505c\uff0c\u6bd4\u5e38\u9a7b\u670d\u52a1\u5668\u770170%"},"content":{"rendered":"<h2>Qwen3-VL\u6a21\u578b\u6258\u7ba1\u65b9\u6848&#xff1a;\u968f\u7528\u968f\u505c&#xff0c;\u6bd4\u5e38\u9a7b\u670d\u52a1\u5668\u770170%<\/h2>\n<h3>1. \u4e3a\u4ec0\u4e48\u9700\u8981\u968f\u7528\u968f\u505c\u7684\u6a21\u578b\u6258\u7ba1\u65b9\u6848<\/h3>\n<p>\u4f5c\u4e3a\u4e2a\u4eba\u5f00\u53d1\u8005&#xff0c;\u4f60\u662f\u5426\u9047\u5230\u8fc7\u8fd9\u6837\u7684\u56f0\u5883&#xff1a; &#8211; \u4f5c\u54c1\u96c6\u7f51\u7ad9\u9700\u8981\u5c55\u793aAI\u80fd\u529b&#xff0c;\u4f46\u6d41\u91cf\u5ffd\u9ad8\u5ffd\u4f4e\u4e0d\u7a33\u5b9a &#8211; \u517b\u7740GPU\u670d\u52a1\u5668\u6bcf\u6708\u56fa\u5b9a\u652f\u51fa2000&#043;\u5143&#xff0c;\u5b9e\u9645\u4f7f\u7528\u7387\u4e0d\u523030% &#8211; \u7a81\u53d1\u6d41\u91cf\u65f6\u8d44\u6e90\u4e0d\u591f\u7528&#xff0c;\u5e73\u65f6\u53c8\u5927\u91cf\u95f2\u7f6e\u6d6a\u8d39<\/p>\n<p>\u4f20\u7edf\u5e38\u9a7b\u670d\u52a1\u5668\u5c31\u50cf&#034;\u5305\u6708\u5065\u8eab\u623f&#034;\u2014\u2014\u4e0d\u7ba1\u53bb\u4e0d\u53bb\u90fd\u8981\u4ea4\u94b1\u3002\u800cQwen3-VL\u7684\u968f\u7528\u968f\u505c\u65b9\u6848\u5219\u662f&#034;\u6309\u6b21\u4ed8\u8d39&#034;\u7684\u667a\u80fd\u5065\u8eab\u623f&#xff0c;\u53ea\u6709\u4f7f\u7528\u65f6\u624d\u8ba1\u8d39\u3002<\/p>\n<h3>2. Qwen3-VL\u6a21\u578b\u6258\u7ba1\u7684\u6838\u5fc3\u4f18\u52bf<\/h3>\n<h4>2.1 \u6210\u672c\u8282\u7701\u5b9e\u6d4b\u5bf9\u6bd4<\/h4>\n<p>\u6211\u4eec\u4ee5\u5178\u578b\u7684\u4e2a\u4eba\u5f00\u53d1\u8005\u573a\u666f\u4e3a\u4f8b&#xff1a;<\/p>\n<table>\n<tr>\u65b9\u6848\u7c7b\u578b\u6708\u5747\u6210\u672c\u663e\u5b58\u5360\u7528\u9002\u7528\u573a\u666f<\/tr>\n<tbody>\n<tr>\n<td>\u5e38\u9a7bGPU\u670d\u52a1\u5668<\/td>\n<td>\u00a52000&#043;<\/td>\n<td>24GB&#043;<\/td>\n<td>\u6301\u7eed\u9ad8\u6d41\u91cf<\/td>\n<\/tr>\n<tr>\n<td>\u968f\u7528\u968f\u505c\u6258\u7ba1<\/td>\n<td>\u00a5600<\/td>\n<td>\u52a8\u6001\u5206\u914d<\/td>\n<td>\u95f4\u6b47\u6027\u4f7f\u7528\/\u6f14\u793a\u573a\u666f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>2.2 \u6280\u672f\u5b9e\u73b0\u539f\u7406<\/h4>\n<p>Qwen3-VL\u7684\u6258\u7ba1\u65b9\u6848\u901a\u8fc7\u4ee5\u4e0b\u6280\u672f\u5b9e\u73b0\u4f4e\u6210\u672c&#xff1a; 1. \u51b7\u542f\u52a8\u4f18\u5316&#xff1a;\u6a21\u578b\u9884\u52a0\u8f7d\u5230\u5171\u4eabGPU\u6c60&#xff0c;\u542f\u52a8\u65f6\u95f4&lt;30\u79d2 2. \u52a8\u6001\u663e\u5b58\u5206\u914d&#xff1a;\u6839\u636e\u8bf7\u6c42\u91cf\u81ea\u52a8\u8c03\u6574GPU\u8d44\u6e90 3. \u6d41\u91cf\u89e6\u53d1\u8ba1\u8d39&#xff1a;\u53ea\u6709\u5b9e\u9645\u5904\u7406\u8bf7\u6c42\u65f6\u624d\u4ea7\u751f\u8d39\u7528<\/p>\n<h3>3. \u4e94\u5206\u949f\u5feb\u901f\u90e8\u7f72\u6307\u5357<\/h3>\n<h4>3.1 \u57fa\u7840\u73af\u5883\u51c6\u5907<\/h4>\n<p>\u786e\u4fdd\u4f60\u7684\u5f00\u53d1\u73af\u5883\u6ee1\u8db3&#xff1a; &#8211; Python 3.8&#043; &#8211; CUDA 11.7&#043; &#8211; \u81f3\u5c1110GB\u53ef\u7528\u78c1\u76d8\u7a7a\u95f4<\/p>\n<p># \u5b89\u88c5\u57fa\u7840\u4f9d\u8d56<br \/>\npip install torch transformers accelerate<\/p>\n<h4>3.2 \u4e00\u952e\u90e8\u7f72\u65b9\u6848<\/h4>\n<p>\u4f7f\u7528CSDN\u63d0\u4f9b\u7684\u6258\u7ba1\u955c\u50cf&#xff0c;\u53ea\u9700\u4e09\u6b65&#xff1a;<\/p>\n<li>\u9009\u62e9Qwen3-VL\u6258\u7ba1\u4e13\u7528\u955c\u50cf<\/li>\n<li>\u8bbe\u7f6e\u89e6\u53d1\u89c4\u5219&#xff08;\u5982HTTP\u8bbf\u95ee\u91cf&gt;5\u6b21\/\u5206\u949f&#xff09;<\/li>\n<li>\u7ed1\u5b9a\u4f60\u7684API\u8bbf\u95ee\u5bc6\u94a5<\/li>\n<p># \u793a\u4f8b&#xff1a;\u6d4b\u8bd5\u6a21\u578b\u662f\u5426\u5c31\u7eea<br \/>\nfrom transformers import AutoModelForCausalLM, AutoTokenizer<\/p>\n<p>model &#061; AutoModelForCausalLM.from_pretrained(&#034;Qwen\/Qwen3-VL&#034;)<br \/>\ntokenizer &#061; AutoTokenizer.from_pretrained(&#034;Qwen\/Qwen3-VL&#034;)<\/p>\n<h4>3.3 \u6210\u672c\u63a7\u5236\u6280\u5de7<\/h4>\n<ul>\n<li>\u8bbe\u7f6e\u81ea\u52a8\u4f11\u7720&#xff1a;\u65e0\u8bf7\u6c4215\u5206\u949f\u540e\u81ea\u52a8\u91ca\u653e\u8d44\u6e90<\/li>\n<li>\u4f7f\u7528\u91cf\u5316\u7248\u672c&#xff1a;INT8\u7248\u672c\u663e\u5b58\u9700\u6c42\u964d\u4f4e40%<\/li>\n<li>\u6279\u91cf\u8bf7\u6c42\u5904\u7406&#xff1a;\u5408\u5e76\u591a\u4e2a\u8bf7\u6c42\u51cf\u5c11\u51b7\u542f\u52a8\u6b21\u6570<\/li>\n<\/ul>\n<h3>4. \u5e38\u89c1\u95ee\u9898\u89e3\u51b3\u65b9\u6848<\/h3>\n<h4>4.1 \u663e\u5b58\u4e0d\u8db3\u600e\u4e48\u529e&#xff1f;<\/h4>\n<p>\u9488\u5bf9\u4e0d\u540c\u786c\u4ef6\u914d\u7f6e\u63a8\u8350\u65b9\u6848&#xff1a;<\/p>\n<table>\n<tr>\u4f60\u7684\u663e\u5361\u663e\u5b58\u63a8\u8350\u65b9\u6848\u9884\u671f\u6027\u80fd<\/tr>\n<tbody>\n<tr>\n<td>8-12GB<\/td>\n<td>Qwen3-VL-4B INT4\u91cf\u5316\u7248<\/td>\n<td>\u57fa\u7840\u6f14\u793a<\/td>\n<\/tr>\n<tr>\n<td>24GB<\/td>\n<td>Qwen3-VL-8B FP16\u7248<\/td>\n<td>\u6d41\u7545\u8fd0\u884c<\/td>\n<\/tr>\n<tr>\n<td>48GB&#043;<\/td>\n<td>Qwen3-VL\u5b8c\u6574\u7248&#043;\u52a8\u6001\u6279\u5904\u7406<\/td>\n<td>\u751f\u4ea7\u73af\u5883<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>4.2 \u5982\u4f55\u786e\u4fdd\u670d\u52a1\u7a33\u5b9a\u6027&#xff1f;<\/h4>\n<li>\u8bbe\u7f6e\u6700\u5c0f\u5907\u7528\u5b9e\u4f8b&#xff08;0-1\u4e2a&#xff09;<\/li>\n<li>\u542f\u7528\u8bf7\u6c42\u961f\u5217\u7f13\u51b2<\/li>\n<li>\u76d1\u63a7API\u54cd\u5e94\u65f6\u95f4&#xff08;\u5efa\u8bae&lt;2s&#xff09;<\/li>\n<h3>5. \u6838\u5fc3\u8981\u70b9\u603b\u7ed3<\/h3>\n<ul>\n<li>\u7701\u6210\u672c&#xff1a;\u76f8\u6bd4\u5e38\u9a7b\u670d\u52a1\u5668\u8282\u770170%\u8d39\u7528&#xff0c;\u6309\u5b9e\u9645\u4f7f\u7528\u4ed8\u8d39<\/li>\n<li>\u6613\u90e8\u7f72&#xff1a;\u4e09\u6b65\u9aa4\u5373\u53ef\u5b8c\u6210\u6258\u7ba1\u914d\u7f6e&#xff0c;\u652f\u6301\u4e3b\u6d41\u5f00\u53d1\u6846\u67b6<\/li>\n<li>\u5f39\u6027\u6269\u5c55&#xff1a;\u81ea\u52a8\u5e94\u5bf9\u6d41\u91cf\u9ad8\u5cf0&#xff0c;\u65e0\u9700\u4eba\u5de5\u5e72\u9884<\/li>\n<li>\u786c\u4ef6\u53cb\u597d&#xff1a;\u63d0\u4f9b\u591a\u79cd\u91cf\u5316\u7248\u672c\u9002\u914d\u4e0d\u540c\u663e\u5361\u914d\u7f6e<\/li>\n<\/ul>\n<p>\u73b0\u5728\u5c31\u53ef\u4ee5\u8bd5\u8bd5\u8fd9\u4e2a\u65b9\u6848&#xff0c;\u8ba9\u4f60\u7684AI\u5c55\u793a\u4e0d\u518d\u53d7\u9650\u4e8e\u670d\u52a1\u5668\u6210\u672c&#xff01;<\/p>\n<hr \/>\n<p>&#x1f4a1; 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