{"id":30842,"date":"2025-05-01T17:10:52","date_gmt":"2025-05-01T09:10:52","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30842"},"modified":"2025-07-09T08:43:36","modified_gmt":"2025-07-09T00:43:36","slug":"qwen3-fabushenba","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/qwen3-fabushenba\/","title":{"rendered":"Qwen3 \u53d1\u5e03\uff1a\u6df1\u5165\u601d\u8003\u4e0e\u5feb\u901f\u54cd\u5e94\u5e76\u5b58\u7684\u65b0\u4e00\u4ee3\u5927\u8bed\u8a00\u6a21\u578b"},"content":{"rendered":"<p>\u5927\u578b\u8bed\u8a00\u6a21\u578b\u9886\u57df\u8fce\u6765\u4e86\u65b0\u6210\u5458\u3002\u8fd1\u65e5\uff0c\u00a0Qwen\u00a0\u7cfb\u5217\u5927\u8bed\u8a00\u6a21\u578b\u53d1\u5e03\u4e86\u5176\u6700\u65b0\u7248\u672c\u00a0Qwen3\u3002\u636e\u5f00\u53d1\u56e2\u961f\u4ecb\u7ecd\uff0c\u5176\u65d7\u8230\u6a21\u578b\u00a0Qwen3-235B-A22B\u00a0\u5728\u7f16\u7801\u3001\u6570\u5b66\u53ca\u901a\u7528\u80fd\u529b\u7b49\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0c\u5c55\u73b0\u51fa\u4e0e\u00a0<a href=\"https:\/\/www.kdjingpai.com\/deepseek-r1nenglixiang\/\">DeepSeek-R1<\/a> ,\u00a0o1 ,\u00a0<a href=\"https:\/\/www.kdjingpai.com\/openai-o3-mini-xiban\/\">o3-mini<\/a> ,\u00a0Grok-3\u00a0\u53ca\u00a0Gemini-2.5-Pro\u00a0\u7b49\u4e1a\u754c\u9876\u5c16\u6a21\u578b\u76f8\u5339\u654c\u7684\u6027\u80fd\u3002\u8fd9\u4e9b\u7ade\u54c1\u7684\u9009\u62e9\uff0c\u53cd\u6620\u4e86\u00a0Qwen3\u00a0\u65e8\u5728\u4e0e\u5f53\u524d\u6027\u80fd\u6807\u6746\u76f4\u63a5\u5bf9\u8bdd\u7684\u5b9a\u4f4d\u3002<\/p>\n<p><img decoding=\"async\" title=\"Qwen3 \u53d1\u5e03\uff1a\u6df1\u5165\u601d\u8003\u4e0e\u5feb\u901f\u54cd\u5e94\u5e76\u5b58\u7684\u65b0\u4e00\u4ee3\u5927\u8bed\u8a00\u6a21\u578b-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/1c3d734bdce4aac.jpg\" alt=\"Qwen3 \u53d1\u5e03\uff1a\u6df1\u5165\u601d\u8003\u4e0e\u5feb\u901f\u54cd\u5e94\u5e76\u5b58\u7684\u65b0\u4e00\u4ee3\u5927\u8bed\u8a00\u6a21\u578b-1\" \/><\/p>\n<p>\u503c\u5f97\u5173\u6ce8\u7684\u662f\uff0c\u5c0f\u578b\u6df7\u5408\u4e13\u5bb6\uff08\u00a0MoE\u00a0\uff09\u6a21\u578b\u00a0Qwen3-30B-A3B\u00a0\u636e\u79f0\u5728\u6027\u80fd\u4e0a\u8d85\u8d8a\u4e86\u53c2\u6570\u91cf\u66f4\u5927\u7684\u00a0QwQ-32B\uff08\u5c3d\u7ba1\u5176\u6fc0\u6d3b\u53c2\u6570\u4ec5\u4e3a\u540e\u8005\u7684\u5341\u5206\u4e4b\u4e00\uff09\uff0c\u800c\u5373\u4fbf\u662f\u53c2\u6570\u91cf\u8f83\u5c0f\u7684\u00a0Qwen3-4B\u00a0\u6a21\u578b\uff0c\u5176\u6027\u80fd\u4e5f\u53f7\u79f0\u80fd\u4e0e\u00a0Qwen2.5-72B-Instruct\u00a0\u76f8\u5ab2\u7f8e\u3002\u8fd9\u663e\u793a\u51fa\u6a21\u578b\u67b6\u6784\u4f18\u5316\u548c\u8bad\u7ec3\u65b9\u6cd5\u6539\u8fdb\u5e26\u6765\u7684\u663e\u8457\u6548\u7387\u63d0\u5347\u3002<\/p>\n<p><img decoding=\"async\" title=\"Qwen3 \u53d1\u5e03\uff1a\u6df1\u5165\u601d\u8003\u4e0e\u5feb\u901f\u54cd\u5e94\u5e76\u5b58\u7684\u65b0\u4e00\u4ee3\u5927\u8bed\u8a00\u6a21\u578b-2\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/41a6a9463cbc687.jpg\" alt=\"Qwen3 \u53d1\u5e03\uff1a\u6df1\u5165\u601d\u8003\u4e0e\u5feb\u901f\u54cd\u5e94\u5e76\u5b58\u7684\u65b0\u4e00\u4ee3\u5927\u8bed\u8a00\u6a21\u578b-2\" \/><\/p>\n<p>\u6b64\u6b21\u53d1\u5e03\u7684\u4e00\u5927\u4eae\u70b9\u662f\u5f00\u653e\u4e86\u4e24\u4e2a\u00a0MoE\u00a0\u6a21\u578b\u7684\u6743\u91cd\uff1aQwen3-235B-A22B\uff08\u603b\u53c2\u6570 2350 \u4ebf\uff0c\u6fc0\u6d3b\u53c2\u6570 220 \u4ebf\uff09\u548c\u00a0Qwen3-30B-A3B\uff08\u603b\u53c2\u6570 300 \u4ebf\uff0c\u6fc0\u6d3b\u53c2\u6570 30 \u4ebf\uff09\u3002MoE\u00a0\u662f\u4e00\u79cd\u5141\u8bb8\u6a21\u578b\u5728\u63a8\u7406\u65f6\u4ec5\u6fc0\u6d3b\u90e8\u5206\u201c\u4e13\u5bb6\u201d\u7f51\u7edc\u7684\u6280\u672f\uff0c\u80fd\u5728\u4fdd\u6301\u5f3a\u5927\u6027\u80fd\u7684\u540c\u65f6\u663e\u8457\u964d\u4f4e\u8ba1\u7b97\u9700\u6c42\uff0c\u8fd9\u5bf9\u4e8e\u63a8\u52a8\u5927\u6a21\u578b\u5728\u66f4\u5e7f\u6cdb\u573a\u666f\u4e0b\u7684\u90e8\u7f72\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002<\/p>\n<p>\u540c\u65f6\uff0c\u9075\u5faa\u00a0Apache 2.0\u00a0\u8bb8\u53ef\u8bc1\uff0c\u56e2\u961f\u8fd8\u5f00\u653e\u4e86\u516d\u4e2a\u5bc6\u96c6\uff08Dense\uff09\u6a21\u578b\u7684\u6743\u91cd\uff0c\u53c2\u6570\u89c4\u6a21\u8986\u76d6\u4ece 6 \u4ebf\u5230 320 \u4ebf\u4e0d\u7b49\uff0c\u5177\u4f53\u5305\u62ec\u00a0Qwen3-32B,\u00a0Qwen3-14B,\u00a0Qwen3-8B,\u00a0Qwen3-4B,\u00a0Qwen3-1.7B, \u548c\u00a0Qwen3-0.6B\u3002<\/p>\n<p><strong>\u6a21\u578b\u6280\u672f\u89c4\u683c\u6982\u89c8\uff08\u5bc6\u96c6\u6a21\u578b\uff09\uff1a<\/strong><\/p>\n<table>\n<thead>\n<tr>\n<th>Models<\/th>\n<th>Layers<\/th>\n<th>Heads (Q \/ KV)<\/th>\n<th>Tie Embedding<\/th>\n<th>Context Length<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Qwen3-0.6B<\/td>\n<td>28<\/td>\n<td>16 \/ 8<\/td>\n<td>Yes<\/td>\n<td>32K<\/td>\n<\/tr>\n<tr>\n<td>Qwen3-1.7B<\/td>\n<td>28<\/td>\n<td>16 \/ 8<\/td>\n<td>Yes<\/td>\n<td>32K<\/td>\n<\/tr>\n<tr>\n<td>Qwen3-4B<\/td>\n<td>36<\/td>\n<td>32 \/ 8<\/td>\n<td>Yes<\/td>\n<td>32K<\/td>\n<\/tr>\n<tr>\n<td>Qwen3-8B<\/td>\n<td>36<\/td>\n<td>32 \/ 8<\/td>\n<td>No<\/td>\n<td>128K<\/td>\n<\/tr>\n<tr>\n<td>Qwen3-14B<\/td>\n<td>40<\/td>\n<td>40 \/ 8<\/td>\n<td>No<\/td>\n<td>128K<\/td>\n<\/tr>\n<tr>\n<td>Qwen3-32B<\/td>\n<td>64<\/td>\n<td>64 \/ 8<\/td>\n<td>No<\/td>\n<td>128K<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>\u6a21\u578b\u6280\u672f\u89c4\u683c\u6982\u89c8\uff08MoE \u6a21\u578b\uff09\uff1a<\/strong><\/p>\n<table>\n<thead>\n<tr>\n<th>Models<\/th>\n<th>Layers<\/th>\n<th>Heads (Q \/ KV)<\/th>\n<th># Experts (Total \/ Activated)<\/th>\n<th>Context Length<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Qwen3-30B-A3B<\/td>\n<td>48<\/td>\n<td>32 \/ 4<\/td>\n<td>128 \/ 8<\/td>\n<td>128K<\/td>\n<\/tr>\n<tr>\n<td>Qwen3-235B-A22B<\/td>\n<td>94<\/td>\n<td>64 \/ 4<\/td>\n<td>128 \/ 8<\/td>\n<td>128K<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8fd9\u4e9b\u6a21\u578b\u53ca\u5176\u9884\u8bad\u7ec3\u7248\u672c\uff08\u5982\u00a0Qwen3-30B-A3B-Base\uff09\u5df2\u5728\u00a0Hugging Face,\u00a0ModelScope,\u00a0Kaggle\u00a0\u7b49\u4e3b\u6d41\u5e73\u53f0\u4e0a\u7ebf\u3002\u5bf9\u4e8e\u6a21\u578b\u90e8\u7f72\uff0c\u63a8\u8350\u4f7f\u7528\u00a0SGLang\u00a0\u548c\u00a0<a href=\"https:\/\/www.kdjingpai.com\/vllm\/\">vLLM<\/a>\u00a0\u7b49\u6846\u67b6\u3002\u672c\u5730\u4f7f\u7528\u573a\u666f\u4e0b\uff0cOllama,\u00a0LMStudio,\u00a0MLX,\u00a0<a href=\"https:\/\/www.kdjingpai.com\/llamacpp\/\">llama.cpp<\/a>, \u548c\u00a0<a href=\"https:\/\/www.kdjingpai.com\/ktransformers\/\">KTransformers<\/a>\u00a0\u7b49\u5de5\u5177\u63d0\u4f9b\u4e86\u4fbf\u6377\u7684\u63a5\u5165\u65b9\u5f0f\u3002<\/p>\n<p>\u5f00\u53d1\u8005\u53ef\u4ee5\u901a\u8fc7\u00a0<a href=\"https:\/\/www.kdjingpai.com\/qwen-chat\/\">Qwen Chat Web<\/a> \u548c\u79fb\u52a8\u5e94\u7528\u4f53\u9a8c\u00a0Qwen3\u00a0\u7684\u80fd\u529b\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u6838\u5fc3\u7279\u6027\u89e3\u6790<\/h2>\n<p>Qwen3\u00a0\u5f15\u5165\u4e86\u82e5\u5e72\u503c\u5f97\u5173\u6ce8\u7684\u7279\u6027\uff1a<\/p>\n<ul>\n<li><strong>\u6df7\u5408\u601d\u7ef4\u6a21\u5f0f (Hybrid Thinking Modes)<\/strong>Qwen3\u00a0\u652f\u6301\u4e24\u79cd\u89e3\u51b3\u95ee\u9898\u7684\u6a21\u5f0f\uff1a\n<ol>\n<li><strong>\u601d\u8003\u6a21\u5f0f (Thinking Mode):<\/strong>\u00a0\u6a21\u578b\u4f1a\u8fdb\u884c\u9010\u6b65\u63a8\u7406\uff0c\u5c55\u793a\u601d\u8003\u8fc7\u7a0b\uff0c\u7136\u540e\u7ed9\u51fa\u6700\u7ec8\u7b54\u6848\u3002\u8fd9\u9002\u7528\u4e8e\u9700\u8981\u6df1\u5ea6\u5206\u6790\u7684\u590d\u6742\u95ee\u9898\u3002<\/li>\n<li><strong>\u975e\u601d\u8003\u6a21\u5f0f (Non-Thinking Mode):<\/strong>\u00a0\u6a21\u578b\u63d0\u4f9b\u5feb\u901f\u3001\u8fd1\u4e4e\u5373\u65f6\u7684\u54cd\u5e94\uff0c\u9002\u5408\u5bf9\u901f\u5ea6\u8981\u6c42\u9ad8\u3001\u95ee\u9898\u76f8\u5bf9\u7b80\u5355\u7684\u573a\u666f\u3002<\/li>\n<\/ol>\n<p>\u8fd9\u79cd\u8bbe\u8ba1\u8d4b\u4e88\u4e86\u7528\u6237\u6839\u636e\u4efb\u52a1\u9700\u6c42\u63a7\u5236\u6a21\u578b\u201c\u601d\u8003\u6df1\u5ea6\u201d\u7684\u7075\u6d3b\u6027\u3002\u66f4\u91cd\u8981\u7684\u662f\uff0c\u8fd9\u79cd\u6df7\u5408\u6a21\u5f0f\u4f7f\u5f97\u6a21\u578b\u80fd\u591f\u5b9e\u73b0\u7a33\u5b9a\u4e14\u9ad8\u6548\u7684\u201c\u601d\u8003\u9884\u7b97\u201d\u63a7\u5236\u3002\u5982\u4e0b\u56fe\u6240\u793a\uff0cQwen3\u00a0\u7684\u6027\u80fd\u8868\u73b0\u51fa\u4e0e\u5206\u914d\u7684\u8ba1\u7b97\u63a8\u7406\u9884\u7b97\u76f4\u63a5\u76f8\u5173\u7684\u53ef\u6269\u5c55\u6027\u548c\u5e73\u6ed1\u6539\u8fdb\u3002\u7528\u6237\u53ef\u4ee5\u66f4\u5bb9\u6613\u5730\u4e3a\u7279\u5b9a\u4efb\u52a1\u914d\u7f6e\u9884\u7b97\uff0c\u4ece\u800c\u5728\u6210\u672c\u6548\u76ca\u548c\u63a8\u7406\u8d28\u91cf\u4e4b\u95f4\u627e\u5230\u66f4\u4f18\u7684\u5e73\u8861\u70b9\u3002\u8fd9\u4e3a\u5927\u6a21\u578b\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u6210\u672c\u7ba1\u7406\u63d0\u4f9b\u4e86\u65b0\u7684\u601d\u8def\u3002<\/p>\n<p><img decoding=\"async\" title=\"Qwen3 \u53d1\u5e03\uff1a\u6df1\u5165\u601d\u8003\u4e0e\u5feb\u901f\u54cd\u5e94\u5e76\u5b58\u7684\u65b0\u4e00\u4ee3\u5927\u8bed\u8a00\u6a21\u578b-3\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/0a22b50ce9b9d99.png\" alt=\"Qwen3 \u53d1\u5e03\uff1a\u6df1\u5165\u601d\u8003\u4e0e\u5feb\u901f\u54cd\u5e94\u5e76\u5b58\u7684\u65b0\u4e00\u4ee3\u5927\u8bed\u8a00\u6a21\u578b-3\" \/><\/li>\n<li><strong>\u5e7f\u6cdb\u7684\u591a\u8bed\u8a00\u652f\u6301<\/strong>Qwen3\u00a0\u6a21\u578b\u652f\u6301\u591a\u8fbe\u00a0<strong>119 \u79cd\u8bed\u8a00\u548c\u65b9\u8a00<\/strong>\u3002\u8fd9\u79cd\u5e7f\u6cdb\u7684\u591a\u8bed\u8a00\u80fd\u529b\u4e3a\u56fd\u9645\u5316\u5e94\u7528\u5f00\u8f9f\u4e86\u65b0\u53ef\u80fd\uff0c\u6709\u52a9\u4e8e\u5168\u7403\u7528\u6237\u5229\u7528\u8fd9\u4e9b\u6a21\u578b\u3002<br \/>\n<table>\n<thead>\n<tr>\n<th>Language Family<\/th>\n<th>Languages &amp; Dialects<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Indo-European<\/td>\n<td>English, French, Portuguese, German, Romanian, Swedish, Danish, Bulgarian, Russian, Czech, Greek, Ukrainian, Spanish, Dutch, Slovak, Croatian, Polish, Lithuanian, Norwegian Bokm\u00e5l, Norwegian Nynorsk, Persian, Slovenian, Gujarati, Latvian, Italian, Occitan, Nepali, Marathi, Belarusian, Serbian, Luxembourgish, Venetian, Assamese, Welsh, Silesian, Asturian, Chhattisgarhi, Awadhi, Maithili, Bhojpuri, Sindhi, Irish, Faroese, Hindi, Punjabi, Bengali, Oriya, Tajik, Eastern Yiddish, Lombard, Ligurian, Sicilian, Friulian, Sardinian, Galician, Catalan, Icelandic, Tosk Albanian, Limburgish, Dari, Afrikaans, Macedonian, Sinhala, Urdu, Magahi, Bosnian, Armenian<\/td>\n<\/tr>\n<tr>\n<td>Sino-Tibetan<\/td>\n<td>Chinese (Simplified Chinese, Traditional Chinese, Cantonese), Burmese<\/td>\n<\/tr>\n<tr>\n<td>Afro-Asiatic<\/td>\n<td>Arabic (Standard, Najdi, Levantine, Egyptian, Moroccan, Mesopotamian, Ta\u2019izzi-Adeni, Tunisian), Hebrew, Maltese<\/td>\n<\/tr>\n<tr>\n<td>Austronesian<\/td>\n<td>Indonesian, Malay, Tagalog, Cebuano, Javanese, Sundanese, Minangkabau, Balinese, Banjar, Pangasinan, Iloko, Waray (Philippines)<\/td>\n<\/tr>\n<tr>\n<td>Dravidian<\/td>\n<td>Tamil, Telugu, Kannada, Malayalam<\/td>\n<\/tr>\n<tr>\n<td>Turkic<\/td>\n<td>Turkish, North Azerbaijani, Northern Uzbek, Kazakh, Bashkir, Tatar<\/td>\n<\/tr>\n<tr>\n<td>Tai-Kadai<\/td>\n<td>Thai, Lao<\/td>\n<\/tr>\n<tr>\n<td>Uralic<\/td>\n<td>Finnish, Estonian, Hungarian<\/td>\n<\/tr>\n<tr>\n<td>Austroasiatic<\/td>\n<td>Vietnamese, Khmer<\/td>\n<\/tr>\n<tr>\n<td>Other<\/td>\n<td>Japanese, Korean, Georgian, Basque, Haitian, Papiamento, Kabuverdianu, Tok Pisin, Swahili<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/li>\n<li><strong>\u589e\u5f3a\u7684\u667a\u80fd\u4ee3\u7406\u80fd\u529b (Agentic Capabilities)<\/strong>Qwen3\u00a0\u6a21\u578b\u9488\u5bf9\u7f16\u7801\u548c\u4f5c\u4e3a\u667a\u80fd\u4ee3\u7406\uff08Agent\uff09\u6267\u884c\u4efb\u52a1\u7684\u80fd\u529b\u8fdb\u884c\u4e86\u4f18\u5316\u3002\u540c\u65f6\uff0c\u56e2\u961f\u8fd8\u52a0\u5f3a\u4e86\u5bf9\u00a0MCP\uff08\u53ef\u80fd\u6307 Multi-Agent Collaboration Platform\uff0c\u591a\u667a\u80fd\u4f53\u534f\u4f5c\u5e73\u53f0\uff09\u7684\u652f\u6301\u3002\u4e0b\u9762\u7684\u89c6\u9891\u94fe\u63a5\u5c55\u793a\u4e86\u00a0Qwen3\u00a0\u5982\u4f55\u8fdb\u884c\u601d\u8003\u5e76\u4e0e\u73af\u5883\uff08\u5982\u8c03\u7528\u5de5\u5177\uff09\u8fdb\u884c\u4ea4\u4e92\u3002<em>\u89c6\u9891\u6f14\u793a\u94fe\u63a5\uff1ahttps:\/\/qianwen-res.oss-accelerate-overseas.aliyuncs.com\/mcp.mov <img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" \/> <\/em><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u8bad\u7ec3\u7ec6\u8282\uff1a\u6570\u636e\u3001\u9636\u6bb5\u4e0e\u4f18\u5316<\/h2>\n<p>Qwen3\u00a0\u7684\u9884\u8bad\u7ec3\u6570\u636e\u91cf\u76f8\u8f83\u4e8e\u00a0Qwen2.5\u00a0\u6709\u4e86\u663e\u8457\u63d0\u5347\u3002Qwen2.5\u00a0\u4f7f\u7528\u4e86 18 \u4e07\u4ebf token\uff0c\u800c\u00a0Qwen3\u00a0\u7684\u9884\u8bad\u7ec3\u6570\u636e\u91cf\u63a5\u8fd1\u5176\u4e24\u500d\uff0c\u8fbe\u5230\u4e86\u7ea6 36 \u4e07\u4ebf token\uff0c\u8986\u76d6 119 \u79cd\u8bed\u8a00\u548c\u65b9\u8a00\u3002<\/p>\n<p>\u6570\u636e\u6765\u6e90\u4e0d\u4ec5\u5305\u62ec\u7f51\u9875\uff0c\u8fd8\u6db5\u76d6\u4e86\u7c7b PDF \u6587\u6863\u3002\u56e2\u961f\u5229\u7528\u00a0<a href=\"https:\/\/www.kdjingpai.com\/qwen25-vl\/\">Qwen2.5-VL<\/a>\u00a0\u6a21\u578b\u4ece\u8fd9\u4e9b\u6587\u6863\u4e2d\u63d0\u53d6\u6587\u672c\uff0c\u5e76\u4f7f\u7528\u00a0Qwen2.5\u00a0\u63d0\u5347\u63d0\u53d6\u5185\u5bb9\u7684\u8d28\u91cf\u3002\u4e3a\u4e86\u589e\u52a0\u6570\u5b66\u548c\u4ee3\u7801\u6570\u636e\u7684\u6bd4\u4f8b\uff0c\u8fd8\u5229\u7528\u00a0Qwen2.5-Math\u00a0\u548c\u00a0Qwen2.5-Coder\u00a0\u751f\u6210\u4e86\u5408\u6210\u6570\u636e\uff0c\u5982\u6559\u79d1\u4e66\u3001\u95ee\u7b54\u5bf9\u548c\u4ee3\u7801\u7247\u6bb5\u3002<\/p>\n<p>\u9884\u8bad\u7ec3\u8fc7\u7a0b\u5206\u4e3a\u4e09\u4e2a\u9636\u6bb5\uff1a<\/p>\n<ol>\n<li><strong>S1 \u9636\u6bb5:<\/strong>\u00a0\u5728\u8d85\u8fc7 30 \u4e07\u4ebf <a href=\"https:\/\/www.kdjingpai.com\/tokenization\/\">token<\/a> \u4e0a\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u4e0a\u4e0b\u6587\u957f\u5ea6\u4e3a 4K token\u3002\u6b64\u9636\u6bb5\u65e8\u5728\u8d4b\u4e88\u6a21\u578b\u57fa\u7840\u7684\u8bed\u8a00\u6280\u80fd\u548c\u901a\u7528\u77e5\u8bc6\u3002<\/li>\n<li><strong>S2 \u9636\u6bb5:<\/strong>\u00a0\u589e\u52a0\u77e5\u8bc6\u5bc6\u96c6\u578b\u6570\u636e\uff08\u5982 STEM\u3001\u7f16\u7801\u3001\u63a8\u7406\u4efb\u52a1\uff09\u7684\u6bd4\u4f8b\uff0c\u5bf9\u6570\u636e\u96c6\u8fdb\u884c\u4f18\u5316\uff0c\u5e76\u5728\u989d\u5916\u7684 5 \u4e07\u4ebf token \u4e0a\u7ee7\u7eed\u9884\u8bad\u7ec3\u3002<\/li>\n<li><strong>S3 \u9636\u6bb5:<\/strong>\u00a0\u4f7f\u7528\u9ad8\u8d28\u91cf\u7684\u957f\u4e0a\u4e0b\u6587\u6570\u636e\uff0c\u5c06\u6a21\u578b\u7684\u4e0a\u4e0b\u6587\u957f\u5ea6\u6269\u5c55\u81f3 32K token\uff08\u90e8\u5206\u6a21\u578b\u751a\u81f3\u8fbe\u5230 128K\uff09\uff0c\u786e\u4fdd\u6a21\u578b\u80fd\u6709\u6548\u5904\u7406\u957f\u8f93\u5165\u3002<\/li>\n<\/ol>\n<p><img decoding=\"async\" title=\"Qwen3 \u53d1\u5e03\uff1a\u6df1\u5165\u601d\u8003\u4e0e\u5feb\u901f\u54cd\u5e94\u5e76\u5b58\u7684\u65b0\u4e00\u4ee3\u5927\u8bed\u8a00\u6a21\u578b-4\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/2e10ff5d6e89ded.jpg\" alt=\"Qwen3 \u53d1\u5e03\uff1a\u6df1\u5165\u601d\u8003\u4e0e\u5feb\u901f\u54cd\u5e94\u5e76\u5b58\u7684\u65b0\u4e00\u4ee3\u5927\u8bed\u8a00\u6a21\u578b-4\" \/><\/p>\n<p>\u5f97\u76ca\u4e8e\u6a21\u578b\u67b6\u6784\u7684\u6539\u8fdb\u3001\u8bad\u7ec3\u6570\u636e\u7684\u589e\u52a0\u4ee5\u53ca\u66f4\u6709\u6548\u7684\u8bad\u7ec3\u65b9\u6cd5\uff0cQwen3\u00a0\u5bc6\u96c6\u57fa\u7840\u6a21\u578b\u7684\u6574\u4f53\u6027\u80fd\u8fbe\u5230\u4e86\u53c2\u6570\u91cf\u66f4\u5927\u7684\u00a0Qwen2.5\u00a0\u57fa\u7840\u6a21\u578b\u7684\u6c34\u5e73\u3002\u4f8b\u5982\uff0cQwen3-1.7B\/4B\/8B\/14B\/32B-Base\u00a0\u5206\u522b\u4e0e\u00a0Qwen2.5-3B\/7B\/14B\/32B\/72B-Base\u00a0\u8868\u73b0\u76f8\u5f53\u3002\u7279\u522b\u662f\u5728 STEM\u3001\u7f16\u7801\u548c\u63a8\u7406\u7b49\u9886\u57df\uff0cQwen3\u00a0\u5bc6\u96c6\u57fa\u7840\u6a21\u578b\u751a\u81f3\u4f18\u4e8e\u66f4\u5927\u53c2\u6570\u7684\u00a0Qwen2.5\u00a0\u6a21\u578b\u3002<\/p>\n<p>\u5bf9\u4e8e\u00a0Qwen3-MoE\u00a0\u57fa\u7840\u6a21\u578b\uff0c\u5b83\u4eec\u5728\u4ec5\u4f7f\u7528\u7ea6 10% \u6fc0\u6d3b\u53c2\u6570\u7684\u60c5\u51b5\u4e0b\uff0c\u5b9e\u73b0\u4e86\u4e0e\u00a0Qwen2.5\u00a0\u5bc6\u96c6\u57fa\u7840\u6a21\u578b\u76f8\u4f3c\u7684\u6027\u80fd\uff0c\u8fd9\u610f\u5473\u7740\u5728\u8bad\u7ec3\u548c\u63a8\u7406\u6210\u672c\u4e0a\u90fd\u6709\u663e\u8457\u8282\u7701\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u540e\u8bad\u7ec3\uff08Post-training\uff09\u6d41\u7a0b<\/h2>\n<p><img decoding=\"async\" title=\"Qwen3 \u53d1\u5e03\uff1a\u6df1\u5165\u601d\u8003\u4e0e\u5feb\u901f\u54cd\u5e94\u5e76\u5b58\u7684\u65b0\u4e00\u4ee3\u5927\u8bed\u8a00\u6a21\u578b-5\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/05\/1ab7e0991271158.png\" alt=\"Qwen3 \u53d1\u5e03\uff1a\u6df1\u5165\u601d\u8003\u4e0e\u5feb\u901f\u54cd\u5e94\u5e76\u5b58\u7684\u65b0\u4e00\u4ee3\u5927\u8bed\u8a00\u6a21\u578b-5\" \/><\/p>\n<p>\u4e3a\u4e86\u5f00\u53d1\u51fa\u517c\u5177\u9010\u6b65\u63a8\u7406\u548c\u5feb\u901f\u54cd\u5e94\u80fd\u529b\u7684\u6df7\u5408\u6a21\u5f0f\u6a21\u578b\uff0cQwen\u00a0\u56e2\u961f\u5b9e\u65bd\u4e86\u4e00\u4e2a\u56db\u9636\u6bb5\u7684\u540e\u8bad\u7ec3\u6d41\u7a0b\uff1a<\/p>\n<ol>\n<li><strong>\u957f\u601d\u7ef4\u94fe\uff08Long CoT\uff09\u51b7\u542f\u52a8:<\/strong>\u00a0\u4f7f\u7528\u8986\u76d6\u6570\u5b66\u3001\u7f16\u7801\u3001\u903b\u8f91\u63a8\u7406\u3001STEM \u7b49\u591a\u6837\u5316\u4efb\u52a1\u548c\u9886\u57df\u7684\u957f\u601d\u7ef4\u94fe\u6570\u636e\u5bf9\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\uff0c\u65e8\u5728\u5efa\u7acb\u57fa\u7840\u7684\u63a8\u7406\u80fd\u529b\u3002<\/li>\n<li><strong>\u57fa\u4e8e\u63a8\u7406\u7684\u5f3a\u5316\u5b66\u4e60 (Reasoning-based RL):<\/strong>\u00a0\u6269\u5927\u5f3a\u5316\u5b66\u4e60\u7684\u8ba1\u7b97\u8d44\u6e90\u6295\u5165\uff0c\u5229\u7528\u57fa\u4e8e\u89c4\u5219\u7684\u5956\u52b1\uff08Rule-based Rewards\uff09\u6765\u589e\u5f3a\u6a21\u578b\u7684\u63a2\u7d22\u548c\u5229\u7528\u80fd\u529b\uff0c\u8fdb\u4e00\u6b65\u63d0\u5347\u63a8\u7406\u6027\u80fd\u3002<\/li>\n<li><strong>\u601d\u8003\u6a21\u5f0f\u878d\u5408:<\/strong>\u00a0\u5c06\u975e\u601d\u8003\u80fd\u529b\u6574\u5408\u8fdb\u601d\u8003\u6a21\u578b\u4e2d\u3002\u901a\u8fc7\u5728\u957f CoT \u6570\u636e\u548c\u901a\u7528\u6307\u4ee4\u5fae\u8c03\u6570\u636e\u7684\u6df7\u5408\u4f53\u4e0a\u8fdb\u884c\u5fae\u8c03\uff08\u8fd9\u4e9b\u6570\u636e\u7531\u7b2c\u4e8c\u9636\u6bb5\u589e\u5f3a\u540e\u7684\u601d\u8003\u6a21\u578b\u751f\u6210\uff09\uff0c\u5b9e\u73b0\u63a8\u7406\u80fd\u529b\u548c\u5feb\u901f\u54cd\u5e94\u80fd\u529b\u7684\u878d\u5408\u3002<\/li>\n<li><strong>\u901a\u7528\u5f3a\u5316\u5b66\u4e60 (General RL):<\/strong>\u00a0\u5728\u8d85\u8fc7 20 \u4e2a\u901a\u7528\u9886\u57df\u4efb\u52a1\u4e0a\u5e94\u7528\u5f3a\u5316\u5b66\u4e60\uff0c\u8fdb\u4e00\u6b65\u52a0\u5f3a\u6a21\u578b\u7684\u901a\u7528\u80fd\u529b\uff08\u5982\u6307\u4ee4\u9075\u5faa\u3001\u683c\u5f0f\u9075\u5faa\u3001Agent \u80fd\u529b\u7b49\uff09\uff0c\u5e76\u7ea0\u6b63\u4e0d\u826f\u884c\u4e3a\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528 Qwen3 \u8fdb\u884c\u5f00\u53d1<\/h2>\n<p>\u4ee5\u4e0b\u662f\u5728\u4e0d\u540c\u6846\u67b6\u4e2d\u4f7f\u7528\u00a0Qwen3\u00a0\u7684\u7b80\u8981\u6307\u5357\u3002\u9996\u5148\u662f\u5728\u00a0Hugging Face\u00a0transformers\u00a0\u5e93\u4e2d\u4f7f\u7528\u00a0Qwen3-30B-A3B\u00a0\u7684\u6807\u51c6\u793a\u4f8b\uff1a<\/p>\n<pre>from modelscope import AutoModelForCausalLM, AutoTokenizer\r\nmodel_name = \"Qwen\/Qwen3-30B-A3B\"\r\n# \u52a0\u8f7d tokenizer \u548c\u6a21\u578b\r\ntokenizer = AutoTokenizer.from_pretrained(model_name)\r\nmodel = AutoModelForCausalLM.from_pretrained(\r\nmodel_name,\r\ntorch_dtype=\"auto\",\r\ndevice_map=\"auto\"\r\n)\r\n# \u51c6\u5907\u6a21\u578b\u8f93\u5165\r\nprompt = \"\u7ed9\u6211\u7b80\u8981\u4ecb\u7ecd\u4e00\u4e0b\u5927\u578b\u8bed\u8a00\u6a21\u578b\u3002\"\r\nmessages = [\r\n{\"role\": \"user\", \"content\": prompt}\r\n]\r\n# apply_chat_template \u7528\u4e8e\u6784\u5efa\u7b26\u5408 Qwen \u5bf9\u8bdd\u683c\u5f0f\u7684\u8f93\u5165\r\n# enable_thinking=True \u542f\u7528\u601d\u8003\u6a21\u5f0f (\u9ed8\u8ba4\u4e3a True)\r\ntext = tokenizer.apply_chat_template(\r\nmessages,\r\ntokenize=False,\r\nadd_generation_prompt=True,\r\nenable_thinking=True # \u5728\u601d\u8003\u6a21\u5f0f\u548c\u975e\u601d\u8003\u6a21\u5f0f\u95f4\u5207\u6362\uff0c\u9ed8\u8ba4\u4e3a True\r\n)\r\nmodel_inputs = tokenizer([text], return_tensors=\"pt\").to(model.device)\r\n# \u8fdb\u884c\u6587\u672c\u751f\u6210\r\ngenerated_ids = model.generate(\r\n**model_inputs,\r\nmax_new_tokens=32768 # \u8bbe\u7f6e\u6700\u5927\u751f\u6210 token \u6570\r\n)\r\n# \u63d0\u53d6\u751f\u6210\u7684\u5185\u5bb9\u90e8\u5206 (\u53bb\u9664\u8f93\u5165\u90e8\u5206)\r\noutput_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist()\r\n# \u89e3\u6790\u601d\u8003\u5185\u5bb9 (\u5982\u679c\u5b58\u5728)\r\n# \u5bfb\u627e '&lt;\/think&gt;' \u5bf9\u5e94\u7684 token id (151668)\r\ntry:\r\n# rindex \u4ece\u540e\u5f80\u524d\u67e5\u627e 151668\r\nindex = len(output_ids) - output_ids[::-1].index(151668)\r\nexcept ValueError:\r\n# \u5982\u679c\u6ca1\u6709\u627e\u5230 '&lt;\/think&gt;'\uff0c\u8bf4\u660e\u6ca1\u6709\u601d\u8003\u5185\u5bb9\r\nindex = 0\r\n# \u5206\u522b\u89e3\u7801\u601d\u8003\u5185\u5bb9\u548c\u6700\u7ec8\u56de\u590d\u5185\u5bb9\r\nthinking_content = tokenizer.decode(output_ids[:index], skip_special_tokens=True).strip(\"\\n\")\r\ncontent = tokenizer.decode(output_ids[index:], skip_special_tokens=True).strip(\"\\n\")\r\nprint(\"\u601d\u8003\u5185\u5bb9:\", thinking_content)\r\nprint(\"\u6700\u7ec8\u56de\u590d:\", content)\r\n<\/pre>\n<p>\u82e5\u8981\u7981\u7528\u601d\u8003\u6a21\u5f0f\uff0c\u53ea\u9700\u5c06\u00a0enable_thinking\u00a0\u53c2\u6570\u8bbe\u7f6e\u4e3a\u00a0False:<\/p>\n<pre>text = tokenizer.apply_chat_template(\r\nmessages,\r\ntokenize=False,\r\nadd_generation_prompt=True,\r\nenable_thinking=False  # \u9ed8\u8ba4\u4e3a True\r\n)\r\n<\/pre>\n<p>\u5bf9\u4e8e\u6a21\u578b\u90e8\u7f72\uff0c\u53ef\u4ee5\u4f7f\u7528\u00a0sglang&gt;=0.4.6.post1\u00a0\u6216\u00a0vllm&gt;=0.8.4\u00a0\u521b\u5efa\u4e0e\u00a0OpenAI\u00a0API \u517c\u5bb9\u7684\u7aef\u70b9\uff1a<\/p>\n<ul>\n<li>\u4f7f\u7528\u00a0SGLang:\n<pre>python -m sglang.launch_server --model-path Qwen\/Qwen3-30B-A3B --reasoning-parser qwen3\r\n<\/pre>\n<\/li>\n<li>\u4f7f\u7528\u00a0vLLM:\n<pre>vllm serve Qwen\/Qwen3-30B-A3B --enable-reasoning --reasoning-parser deepseek_r1\r\n<\/pre>\n<p><em>(\u6ce8\uff1a\u539f\u6587\u6b64\u5904\u4f7f\u7528\u00a0deepseek_r1\u00a0\u89e3\u6790\u5668\uff0c\u5f00\u53d1\u8005\u9700\u786e\u8ba4\u5176\u4e0e\u00a0Qwen3\u00a0\u7684\u517c\u5bb9\u6027)<\/em><\/li>\n<\/ul>\n<p>\u5728\u672c\u5730\u5f00\u53d1\u73af\u5883\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u00a0ollama\uff0c\u901a\u8fc7\u7b80\u5355\u7684\u547d\u4ee4\u00a0<a href=\"https:\/\/www.kdjingpai.com\/ollama\/\">ollama<\/a> run qwen3:30b-a3b\u00a0\u5373\u53ef\u4e0e\u6a21\u578b\u4ea4\u4e92\u3002\u6b64\u5916\uff0cLMStudio,\u00a0llama.cpp\u00a0\u548c\u00a0ktransformers\u00a0\u7b49\u5de5\u5177\u4e5f\u652f\u6301\u5728\u672c\u5730\u6784\u5efa\u548c\u8fd0\u884c\u00a0Qwen3\u3002<\/p>\n<h3>\u9ad8\u7ea7\u7528\u6cd5\uff1a\u52a8\u6001\u5207\u6362\u601d\u7ef4\u6a21\u5f0f<\/h3>\n<p>Qwen3\u00a0\u63d0\u4f9b\u4e86\u4e00\u79cd\u201c\u8f6f\u5207\u6362\u201d\u673a\u5236\uff0c\u5141\u8bb8\u7528\u6237\u5728\u00a0enable_thinking=True\u00a0\u65f6\u52a8\u6001\u63a7\u5236\u6a21\u578b\u7684\u884c\u4e3a\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u53ef\u4ee5\u5728\u7528\u6237\u63d0\u95ee\u6216\u7cfb\u7edf\u6d88\u606f\u4e2d\u6dfb\u52a0\u00a0\/think\u00a0\u6216\u00a0\/no_think\u00a0\u6807\u7b7e\uff0c\u6765\u9010\u8f6e\u5207\u6362\u6a21\u578b\u7684\u601d\u7ef4\u6a21\u5f0f\u3002\u5728\u591a\u8f6e\u5bf9\u8bdd\u4e2d\uff0c\u6a21\u578b\u4f1a\u9075\u5faa\u6700\u8fd1\u4e00\u6b21\u7684\u6307\u4ee4\u3002<\/p>\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u591a\u8f6e\u5bf9\u8bdd\u793a\u4f8b\uff1a<\/p>\n<pre>from transformers import AutoModelForCausalLM, AutoTokenizer\r\nclass QwenChatbot:\r\ndef __init__(self, model_name=\"Qwen\/Qwen3-30B-A3B\"):\r\nself.tokenizer = AutoTokenizer.from_pretrained(model_name)\r\n# \u6ce8\u610f\uff1a\u5b9e\u9645\u8fd0\u884c\u65f6\u9700\u8981\u786e\u4fdd\u6709\u8db3\u591f\u7684 GPU \u663e\u5b58\u52a0\u8f7d\u6a21\u578b\r\n# device_map=\"auto\" \u53ef\u80fd\u9700\u8981\u6839\u636e\u5b9e\u9645\u786c\u4ef6\u8c03\u6574\r\nself.model = AutoModelForCausalLM.from_pretrained(\r\nmodel_name,\r\ntorch_dtype=\"auto\", # \u81ea\u52a8\u9009\u62e9\u5408\u9002\u7684\u7cbe\u5ea6\r\ndevice_map=\"auto\"   # \u81ea\u52a8\u5206\u914d\u6a21\u578b\u5230\u53ef\u7528\u8bbe\u5907\r\n)\r\nself.history = [] # \u7528\u4e8e\u5b58\u50a8\u5bf9\u8bdd\u5386\u53f2\r\ndef generate_response(self, user_input):\r\n# \u5c06\u5f53\u524d\u7528\u6237\u8f93\u5165\u52a0\u5165\u5386\u53f2\u8bb0\u5f55\r\nmessages = self.history + [{\"role\": \"user\", \"content\": user_input}]\r\n# \u4f7f\u7528 apply_chat_template \u6784\u5efa\u8f93\u5165\r\n# \u6ce8\u610f\uff1a\u8fd9\u91cc\u6ca1\u6709\u663e\u5f0f\u8bbe\u7f6e enable_thinking\uff0c\u4f1a\u4f7f\u7528\u6a21\u578b\u7684\u9ed8\u8ba4\u884c\u4e3a\u6216\u6700\u8fd1\u7684 \/think \/no_think \u6307\u4ee4\r\ntext = self.tokenizer.apply_chat_template(\r\nmessages,\r\ntokenize=False,\r\nadd_generation_prompt=True\r\n)\r\ninputs = self.tokenizer(text, return_tensors=\"pt\").to(self.model.device)\r\n# \u751f\u6210\u56de\u590d\r\nresponse_ids = self.model.generate(\r\n**inputs,\r\nmax_new_tokens=32768 # \u8bbe\u7f6e\u6700\u5927\u751f\u6210 token \u6570\r\n)[0][len(inputs.input_ids[0]):].tolist() # \u63d0\u53d6\u751f\u6210\u5185\u5bb9\r\n# \u89e3\u7801\u56de\u590d\u6587\u672c\r\nresponse = self.tokenizer.decode(response_ids, skip_special_tokens=True).strip()\r\n# \u66f4\u65b0\u5bf9\u8bdd\u5386\u53f2\r\nself.history.append({\"role\": \"user\", \"content\": user_input})\r\n# \u6ce8\u610f\uff1a\u6b64\u5904\u4ec5\u6dfb\u52a0\u89e3\u7801\u540e\u7684\u7eaf\u6587\u672c\u56de\u590d\uff0c\u672a\u5904\u7406\u601d\u8003\u5185\u5bb9\r\n# \u5982\u679c\u9700\u8981\u4fdd\u7559\u6216\u5c55\u793a\u601d\u8003\u8fc7\u7a0b\uff0c\u9700\u8981\u50cf\u4e4b\u524d\u7684\u4f8b\u5b50\u4e00\u6837\u89e3\u6790 output_ids\r\nself.history.append({\"role\": \"assistant\", \"content\": response})\r\n# \u8fd4\u56de\u89e3\u7801\u540e\u7684\u56de\u590d\u6587\u672c\r\nreturn response\r\n# \u793a\u4f8b\u7528\u6cd5\r\nif __name__ == \"__main__\":\r\n# \u786e\u4fdd\u5728\u6709\u8db3\u591f\u8d44\u6e90\u7684\u673a\u5668\u4e0a\u8fd0\u884c\r\ntry:\r\nchatbot = QwenChatbot()\r\n# \u7b2c\u4e00\u6b21\u8f93\u5165 (\u9ed8\u8ba4\u542f\u7528\u601d\u8003\u6a21\u5f0f)\r\nuser_input_1 = \"strawberries \u8fd9\u4e2a\u5355\u8bcd\u91cc\u6709\u591a\u5c11\u4e2a 'r'?\"\r\nprint(f\"\u7528\u6237: {user_input_1}\")\r\nresponse_1 = chatbot.generate_response(user_input_1)\r\nprint(f\"\u52a9\u624b: {response_1}\")\r\nprint(\"----------------------\")\r\n# \u7b2c\u4e8c\u6b21\u8f93\u5165\uff0c\u4f7f\u7528 \/no_think \u7981\u7528\u601d\u8003\u6a21\u5f0f\r\nuser_input_2 = \"\u90a3\u4e48\uff0cblueberries \u8fd9\u4e2a\u5355\u8bcd\u91cc\u6709\u591a\u5c11\u4e2a 'r'? \/no_think\"\r\nprint(f\"\u7528\u6237: {user_input_2}\")\r\nresponse_2 = chatbot.generate_response(user_input_2)\r\nprint(f\"\u52a9\u624b: {response_2}\")\r\nprint(\"----------------------\")\r\n# \u7b2c\u4e09\u6b21\u8f93\u5165\uff0c\u4f7f\u7528 \/think \u518d\u6b21\u542f\u7528\u601d\u8003\u6a21\u5f0f\r\nuser_input_3 = \"\u771f\u7684\u5417\uff1f\u8bf7\u518d\u60f3\u60f3\u3002 \/think\"\r\nprint(f\"\u7528\u6237: {user_input_3}\")\r\nresponse_3 = chatbot.generate_response(user_input_3)\r\nprint(f\"\u52a9\u624b: {response_3}\")\r\nexcept Exception as e:\r\nprint(f\"\u8fd0\u884c\u51fa\u9519: {e}\")\r\nprint(\"\u8bf7\u786e\u4fdd\u5df2\u5b89\u88c5\u6240\u9700\u4f9d\u8d56\uff0c\u5e76\u62e5\u6709\u8db3\u591f\u7684\u8ba1\u7b97\u8d44\u6e90\uff08\u5982 GPU \u663e\u5b58\uff09\u3002\")\r\n<\/pre>\n<h3>Agent \u7528\u6cd5\uff1a\u5de5\u5177\u8c03\u7528<\/h3>\n<p>Qwen3\u00a0\u5728\u5de5\u5177\u8c03\u7528\u80fd\u529b\u65b9\u9762\u8868\u73b0\u51fa\u8272\u3002\u63a8\u8350\u4f7f\u7528\u00a0<a href=\"https:\/\/www.kdjingpai.com\/qwen-agent\/\">Qwen-Agent<\/a>\u00a0\u6846\u67b6 (https:\/\/github.com\/QwenLM\/Qwen-Agent) \u6765\u5145\u5206\u5229\u7528\u00a0Qwen3\u00a0\u7684 Agent \u80fd\u529b\u3002Qwen-Agent\u00a0\u5185\u90e8\u5c01\u88c5\u4e86\u5de5\u5177\u8c03\u7528\u7684\u6a21\u677f\u548c\u89e3\u6790\u5668\uff0c\u53ef\u4ee5\u7b80\u5316\u5f00\u53d1\u590d\u6742\u5ea6\u3002<\/p>\n<p>\u53ef\u4ee5\u901a\u8fc7\u00a0<a href=\"https:\/\/www.kdjingpai.com\/model-context-protocol\/\">MCP<\/a>\u00a0\u914d\u7f6e\u6587\u4ef6\u3001\u4f7f\u7528\u00a0Qwen-Agent\u00a0\u7684\u96c6\u6210\u5de5\u5177\u6216\u81ea\u884c\u96c6\u6210\u5176\u4ed6\u5de5\u5177\u6765\u5b9a\u4e49\u53ef\u7528\u7684\u5de5\u5177\u96c6\u3002<\/p>\n<pre>import os\r\nfrom qwen_agent.agents import Assistant\r\n# \u5b9a\u4e49 LLM \u914d\u7f6e\r\nllm_cfg = {\r\n'model': 'Qwen3-30B-A3B', # \u6307\u5b9a\u4f7f\u7528\u7684 Qwen3 \u6a21\u578b\r\n# \u5982\u679c\u4f7f\u7528\u963f\u91cc\u4e91 ModelScope \u63d0\u4f9b\u7684 DashScope API:\r\n# 'model_type': 'qwen_dashscope',\r\n# 'api_key': os.getenv('DASHSCOPE_API_KEY'), # \u9700\u8981\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\r\n# \u5982\u679c\u4f7f\u7528\u517c\u5bb9 OpenAI API \u7684\u81ea\u5b9a\u4e49\u7aef\u70b9 (\u4f8b\u5982 VLLM \u6216 SGLang \u90e8\u7f72\u7684):\r\n'model_server': 'http:\/\/localhost:8000\/v1',  # \u66ff\u6362\u4e3a\u4f60\u7684 API \u5730\u5740\r\n'api_key': 'EMPTY', # \u5bf9\u4e8e\u672c\u5730\u90e8\u7f72\u6216\u4e0d\u9700\u8981 key \u7684\u60c5\u51b5\r\n# \u53ef\u9009\uff1a\u5176\u4ed6\u751f\u6210\u53c2\u6570\u914d\u7f6e\r\n# 'generate_cfg': {\r\n#         # \u5982\u679c\u6a21\u578b\u7684\u539f\u59cb\u8f93\u51fa\u5c06\u601d\u8003\u8fc7\u7a0b &lt;think&gt;...&lt;\/think&gt; \u5305\u542b\u5728\u6700\u7ec8\u5185\u5bb9\u91cc\uff0c\u8bbe\u4e3a True\r\n#         # \u5982\u679c VLLM\/SGLang \u7b49\u6846\u67b6\u5df2\u5206\u79bb reasoning_content \u548c content\uff0c\u5219\u8bbe\u4e3a False \u6216\u4e0d\u8bbe\u7f6e\r\n#         'thought_in_content': False,\r\n#     },\r\n}\r\n# \u5b9a\u4e49\u5de5\u5177\u5217\u8868\r\ntools = [\r\n{'mcpServers': {  # \u53ef\u4ee5\u6307\u5b9a MCP \u914d\u7f6e\u6587\u4ef6\u6216\u76f4\u63a5\u5b9a\u4e49\u670d\u52a1\r\n'time': { # \u5b9a\u4e49\u4e00\u4e2a\u540d\u4e3a 'time' \u7684\u5de5\u5177\r\n'command': 'uvx', # \u4f7f\u7528 uvx \u542f\u52a8\r\n# \u542f\u52a8\u53c2\u6570\uff0c\u8fd0\u884c mcp-server-time\uff0c\u5e76\u8bbe\u7f6e\u65f6\u533a\r\n'args': ['mcp-server-time', '--local-timezone=Asia\/Shanghai']\r\n},\r\n\"fetch\": { # \u5b9a\u4e49\u4e00\u4e2a\u540d\u4e3a 'fetch' \u7684\u5de5\u5177\uff0c\u7528\u4e8e\u8bbf\u95ee\u7f51\u9875\r\n\"<a href=\"https:\/\/www.kdjingpai.com\/cohere\/\">command<\/a>\": \"uvx\",\r\n\"args\": [\"mcp-server-fetch\"]\r\n}\r\n}\r\n},\r\n'code_interpreter',  # \u4f7f\u7528 Qwen-Agent \u5185\u7f6e\u7684\u4ee3\u7801\u89e3\u91ca\u5668\u5de5\u5177\r\n# \u53ef\u4ee5\u7ee7\u7eed\u6dfb\u52a0\u5176\u4ed6\u81ea\u5b9a\u4e49\u6216\u5185\u7f6e\u5de5\u5177\r\n]\r\n# \u521d\u59cb\u5316 Agent\r\n# \u9700\u8981\u786e\u4fdd uvx \u548c\u76f8\u5e94\u7684 mcp-server-* \u5df2\u5b89\u88c5\u5e76\u914d\u7f6e\u597d\r\nbot = Assistant(llm=llm_cfg, function_list=tools)\r\n# \u6d41\u5f0f\u751f\u6210\u8c03\u7528\u793a\u4f8b\r\nmessages = [{'role': 'user', 'content': '\u8bbf\u95ee https:\/\/qwenlm.github.io\/blog\/ \u9875\u9762\uff0c\u5e76\u4ecb\u7ecd\u4e00\u4e0b Qwen \u7684\u6700\u65b0\u8fdb\u5c55\u3002'}]\r\nresponses = None # \u521d\u59cb\u5316 responses \u53d8\u91cf\r\n# bot.run \u8fd4\u56de\u4e00\u4e2a\u751f\u6210\u5668\uff0c\u7528\u4e8e\u6d41\u5f0f\u8f93\u51fa\r\nfor responses in bot.run(messages=messages):\r\n# \u53ef\u4ee5\u5728\u8fd9\u91cc\u5904\u7406\u4e2d\u95f4\u6b65\u9aa4\u7684\u8f93\u51fa\uff0c\u4f8b\u5982\u5de5\u5177\u8c03\u7528\u548c\u89c2\u5bdf\u7ed3\u679c\r\n# print(responses) # \u6253\u5370\u6bcf\u4e2a\u4e2d\u95f4\u6b65\u9aa4\u6216\u6700\u7ec8\u56de\u590d\r\npass # \u5faa\u73af\u7ed3\u675f\u540e\uff0cresponses \u5c06\u5305\u542b\u6700\u7ec8\u7684\u5b8c\u6574\u56de\u590d\r\n# \u6253\u5370\u6700\u7ec8\u7684\u56de\u590d\u5185\u5bb9\r\nif responses:\r\nprint(responses)\r\nelse:\r\nprint(\"\u672a\u80fd\u83b7\u53d6\u5230\u56de\u590d\u3002\")\r\n<\/pre>\n<p><em>(\u6ce8\uff1a\u8fd0\u884c Agent \u793a\u4f8b\u9700\u8981\u5b89\u88c5\u00a0qwen-agent\u00a0\u5e93\u53ca\u76f8\u5173\u4f9d\u8d56\uff0c\u5e76\u786e\u4fdd\u00a0uvx\u00a0\u548c\u00a0mcp-server-*\u00a0\u5de5\u5177\u53ef\u7528)<\/em><\/p>\n<h2>\u672a\u6765\u5c55\u671b<\/h2>\n<p>Qwen3\u00a0\u88ab\u89c6\u4e3a\u8fc8\u5411\u901a\u7528\u4eba\u5de5\u667a\u80fd\uff08AGI\uff09\u548c\u8d85\u7ea7\u4eba\u5de5\u667a\u80fd\uff08ASI\uff09\u8fc7\u7a0b\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u91cc\u7a0b\u7891\u3002\u901a\u8fc7\u6269\u5927\u9884\u8bad\u7ec3\u548c\u5f3a\u5316\u5b66\u4e60\u7684\u89c4\u6a21\uff0c\u6a21\u578b\u5b9e\u73b0\u4e86\u66f4\u9ad8\u6c34\u5e73\u7684\u667a\u80fd\u3002\u6df7\u5408\u601d\u7ef4\u6a21\u5f0f\u7684\u878d\u5408\u4e3a\u7528\u6237\u63d0\u4f9b\u4e86\u63a7\u5236\u601d\u8003\u9884\u7b97\u7684\u7075\u6d3b\u6027\uff0c\u800c\u5e7f\u6cdb\u7684\u8bed\u8a00\u652f\u6301\u5219\u589e\u5f3a\u4e86\u5168\u7403\u53ef\u53ca\u6027\u3002<\/p>\n<p>\u5c55\u671b\u672a\u6765\uff0cQwen\u00a0\u56e2\u961f\u8ba1\u5212\u5728\u591a\u4e2a\u7ef4\u5ea6\u4e0a\u7ee7\u7eed\u63d0\u5347\u6a21\u578b\u80fd\u529b\uff0c\u5305\u62ec\u4f18\u5316\u6a21\u578b\u67b6\u6784\u548c\u8bad\u7ec3\u65b9\u6cd5\uff0c\u4ee5\u5b9e\u73b0\u6570\u636e\u6269\u5c55\u3001\u589e\u5927\u6a21\u578b\u5c3a\u5bf8\u3001\u5ef6\u957f\u4e0a\u4e0b\u6587\u957f\u5ea6\u3001\u62d3\u5bbd\u6a21\u6001\u652f\u6301\uff0c\u5e76\u901a\u8fc7\u73af\u5883\u53cd\u9988\u63a8\u8fdb\u5f3a\u5316\u5b66\u4e60\u4ee5\u5b9e\u73b0\u957f\u65f6\u7a0b\u63a8\u7406\u3002\u56e2\u961f\u8ba4\u4e3a\uff0c\u884c\u4e1a\u6b63\u4ece\u8bad\u7ec3\u201c\u6a21\u578b\u201d\u7684\u65f6\u4ee3\u8f6c\u5411\u8bad\u7ec3\u201c\u667a\u80fd\u4f53\u201d\uff08Agents\uff09\u7684\u65f6\u4ee3\u3002\u5176\u4e0b\u4e00\u4ee3\u8fed\u4ee3\u4ea7\u54c1\u6709\u671b\u4e3a\u5de5\u4f5c\u548c\u751f\u6d3b\u5e26\u6765\u66f4\u6709\u610f\u4e49\u7684\u8fdb\u6b65\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5927\u578b\u8bed\u8a00\u6a21\u578b\u9886\u57df\u8fce\u6765\u4e86\u65b0\u6210\u5458\u3002\u8fd1\u65e5\uff0c\u00a0Qwen\u00a0\u7cfb\u5217\u5927\u8bed\u8a00\u6a21\u578b\u53d1\u5e03\u4e86\u5176\u6700\u65b0\u7248\u672c\u00a0Qwen3\u3002\u636e\u5f00\u53d1\u56e2\u961f\u4ecb\u7ecd\uff0c\u5176\u65d7\u8230\u6a21\u578b\u00a0Qwen3-235B-A22B\u00a0\u5728\u7f16\u7801\u3001\u6570\u5b66\u53ca\u901a\u7528\u80fd\u529b\u7b49\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0c\u5c55\u73b0\u51fa\u4e0e\u00a0DeepSeek-R1 ,\u00a0o1 ,\u00a0o3&#8230;<\/p>\n","protected":false},"author":1,"featured_media":31036,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,392,397],"tags":[230],"class_list":["post-30842","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","category-models","category-text-model","tag-aikaiyuanxiangmu"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/30842","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/comments?post=30842"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/30842\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media\/31036"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media?parent=30842"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/categories?post=30842"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/tags?post=30842"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}