{ "version": "https://jsonfeed.org/version/1", "title": "Local LLM", "description": "\u8fd9\u4e2a\u8282\u70b9\u8ba8\u8bba\u5728\u672c\u5730\u7535\u8111\u6216\u8005\u5c40\u57df\u7f51\u91cc\u8fd0\u884c LLM\uff08\u5927\u8bed\u8a00\u6a21\u578b\uff09\u7684\u6280\u672f\u7ec6\u8282", "home_page_url": "go/localllm", "feed_url": "feed/localllm.json", "icon": "https://cdn.v2ex.com/navatar/c8ed/21db/722_large.png?m=1751736797", "favicon": "https://cdn.v2ex.com/navatar/c8ed/21db/722_normal.png?m=1751736797", "items": [ { "author": { "url": "member/davidyin", "name": "davidyin", "avatar": "https://cdn.v2ex.com/avatar/6dcb/35fd/43242_large.png?m=1768429019" }, "url": "t/1211566", "title": "\u60f3\u6298\u817e\u4e00\u4e2a AI \u4e3b\u673a\uff0c\u8bf7\u884c\u5bb6\u51fa\u624b", "id": "t/1211566", "date_published": "2026-05-09T17:02:50+00:00", "content_html": "\u6253\u7b97\u81ea\u7ec4\u4e00 AI \u4e3b\u673a\uff0c\u7528\u4e8e\u672c\u5730 llm \u3002 \u53ef\u7528\u4e8e kiro IDE \u7684\uff0cgitlab duo \u3002


\u53ef\u884c\u6027\u6709\u591a\u5927\uff0c\u80fd\u5426\u4ee3\u66ff\u8ba2\u9605\u7684\u90a3\u4e9b ai \u670d\u52a1\uff1f

\u914d\u7f6e\u6709\u6ca1\u6709\u63a8\u8350\u7684\uff0c\u5404 AI \u884c\u5bb6\u8bf7\u51fa\u624b\u76f8\u52a9\u3002" }, { "author": { "url": "member/KaiWuBOSS", "name": "KaiWuBOSS", "avatar": "https://cdn.v2ex.com/gravatar/243db3a31aa62a02d726471a3fd1782e?s=73&d=retro" }, "url": "t/1211391", "title": "\u9524\u5b50\u627e\u9489\u5b50\u7684\u9879\u76ee\u5206\u4eab\uff1a\u5047\u60f3\u4f01\u4e1a\u672c\u5730\u90e8\u7f72\u540e\u4e0d\u7528\u4eba\u5de5\u6d17\u5e93\u63a5\u5165 llm \u7684\u4e2d\u95f4\u5c42\u3002", "id": "t/1211391", "date_published": "2026-05-09T03:15:17+00:00", "content_html": "

\u9524\u5b50\u627e\u9489\u5b50\u7684\u9879\u76ee\u5206\u4eab\uff1a\u5047\u60f3\u4f01\u4e1a\u672c\u5730\u90e8\u7f72\u540e\u4e0d\u7528\u4eba\u5de5\u6d17\u5e93\u63a5\u5165 LLM \u7684\u4e2d\u95f4\u5c42

\n

\u6211\u95ee AI \uff0c\u4f01\u4e1a\u6570\u5b57\u5316\u5dee\u4ec0\u4e48\uff1f

\n

\u4ed6\u8bf4\u6700\u96be\u7684\u662f\u6570\u636e\u6e05\u6d17\uff0c\u5e93\u592a\u591a\uff0c\u6570\u636e\u5f55\u5165\u4e0d\u89c4\u8303\uff0c\u5b57\u6bb5\u547d\u540d\u4e71\u3002ai \u8981\u9760\u731c\u3002

\n

\u6240\u4ee5\u82b1\u4e86\u4e24\u5468\u5199\u4e86\u4e2a\u4e2d\u95f4\u5c42\uff0c\u60f3\u89e3\u51b3\"\u4f01\u4e1a\u591a\u4e2a\u6570\u636e\u5e93\u63a5 LLM \u65f6\u5b57\u6bb5\u4e71\u3001\u6743\u9650\u4e71\u3001\u53e3\u5f84\u4e71\"\u7684\u95ee\u9898\u3002\u5199\u4e86 7000 \u884c Python \u3001134 \u4e2a\u6d4b\u8bd5\u30013 \u4efd\u67b6\u6784 spec \u3002\u7136\u540e\u610f\u8bc6\u5230\uff1a\u6211\u6ca1\u6709\u7528\u6237\uff0c\u6ca1\u6709\u771f\u5b9e\u573a\u666f\u9a8c\u8bc1\uff0c\u53ef\u80fd\u4ece\u5934\u5230\u5c3e\u5728\u89e3\u51b3\u4e00\u4e2a\u6211\u60f3\u8c61\u51fa\u6765\u7684\u95ee\u9898\u3002

\n

\u53d1\u51fa\u6765\u7ed9\u5927\u5bb6\u770b\u770b\uff0c\u4e5f\u8bb8\u6709\u4eba\u771f\u9047\u5230\u8fc7\u8fd9\u4e2a\u75db\u70b9\uff0c\u4e5f\u8bb8\u5927\u5bb6\u5e2e\u6211\u786e\u8ba4\u8fd9\u5c31\u662f\u4e2a\u9524\u5b50\u627e\u9489\u5b50\u3002

\n

---

\n

\u60f3\u89e3\u51b3\u4ec0\u4e48\u95ee\u9898

\n

\u4f01\u4e1a\u5185\u90e8\u901a\u5e38\u6709\u597d\u51e0\u4e2a\u6570\u636e\u5e93\uff1a\u9500\u552e\u7528 MySQL \u3001\u8d22\u52a1\u7528 PostgreSQL \u3001HR \u7528 SQL Server \u3002\u73b0\u5728\u8001\u677f\u8bf4\u8981\u63a5 LLM \u8ba9\u4e1a\u52a1\u4eba\u5458\u81ea\u7136\u8bed\u8a00\u67e5\u6570\u636e\u3002

\n

\u76f4\u63a5\u63a5\u4f1a\u9047\u5230\u8fd9\u4e9b\u95ee\u9898\uff1a

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

\u95ee\u9898	\u4e3e\u4f8b
\u5b57\u6bb5\u540d\u65e0\u610f\u4e49	aa\u5b57\u6bb5\u662f\u5355\u4ef7\uff0chj\u662f\u5408\u8ba1\uff0cLLM \u731c\u4e0d\u51fa\u6765
\u540c\u540d\u4e0d\u540c\u4e49	\u9500\u552e\u5e93\u7684\"\u91d1\u989d\"\u662f\u56de\u6b3e\uff0c\u8d22\u52a1\u5e93\u7684\"\u91d1\u989d\"\u662f\u5f00\u7968
\u6743\u9650\u5931\u63a7	\u9500\u552e\u5458\u80fd\u67e5\u5230\u6210\u672c\u548c\u5229\u6da6\u7387
\u6ca1\u6709 SQL \u5ba1\u67e5	LLM \u751f\u6210\u7684 SQL \u53ef\u80fd DROP TABLE
\u654f\u611f\u6570\u636e\u88f8\u5954	\u624b\u673a\u53f7\u8eab\u4efd\u8bc1\u660e\u6587\u8fd4\u56de

\u6211\u7684\u60f3\u6cd5\u662f\u5728\u6570\u636e\u5e93\u548c LLM \u4e4b\u95f4\u52a0\u4e00\u5c42\uff0c\u628a\u8fd9\u4e9b\u810f\u6d3b\u81ea\u52a8\u5316\uff1a

\n

\u4f01\u4e1a\u6570\u636e\u5e93\u7fa4\uff08 MySQL/PG/SQLite/Oracle/\u8fbe\u68a6\uff09\n \u2193\n\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510\n\u2502 KaiwuBridge \u2502\n\u2502 \u81ea\u52a8\u7406\u89e3\u5b57\u6bb5\u542b\u4e49\uff08\u4e0d\u7528\u4eba\u5de5\u6807\u6ce8\uff09 \u2502\n\u2502 \u6743\u9650\u63a7\u5236 + SQL \u5ba1\u67e5 + \u6570\u636e\u8131\u654f \u2502\n\u2502 \u8de8\u5e93\u5b57\u6bb5\u81ea\u52a8\u5bf9\u9f50 \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n \u2193\n\u4efb\u610f LLM \uff08\u672c\u5730 Ollama / DeepSeek / GPT \uff09\n

\n

\u6838\u5fc3\u5356\u70b9\u662f\u4e0d\u7528\u4eba\u5de5\u6d17\u5e93\u2014\u2014\u4f20\u7edf\u505a\u6cd5\u662f DBA \u82b1\u51e0\u5468\u7ed9\u6bcf\u4e2a\u5b57\u6bb5\u5199\u6ce8\u91ca\u3001\u5efa\u6570\u636e\u5b57\u5178\uff0c\u6211\u60f3\u7528 LLM+\u7edf\u8ba1\u65b9\u6cd5\u81ea\u52a8\u641e\u5b9a\u3002

\n

---

\n

\u5b9e\u73b0\u4e86\u4ec0\u4e48

\n

1. \u81ea\u52a8\u7406\u89e3\u5b57\u6bb5\u542b\u4e49\uff08\u56fe\u4f20\u64ad\u65b9\u6848\uff09

\n

\u4e0d\u662f\u7b80\u5355\u8ba9 LLM \u770b\u5b57\u6bb5\u540d\u731c\u542b\u4e49\uff0c\u800c\u662f\uff1a

\n

\n
1. \u6570\u636e\u753b\u50cf\uff1a\u7edf\u8ba1\u6bcf\u4e2a\u5b57\u6bb5\u7684\u5206\u5e03\u3001\u7a7a\u503c\u7387\u3001\u552f\u4e00\u503c\u6bd4\u4f8b
\n
2. \u4ee3\u6570\u5173\u7cfb\u68c0\u6d4b\uff1a\u81ea\u52a8\u53d1\u73b0 \u5355\u4ef7 \u00d7 \u6570\u91cf \u2248 \u5408\u8ba1 \u8fd9\u79cd\u5173\u7cfb
\n
3. \u5efa\u56fe\uff1a\u628a\u5b57\u6bb5\u3001\u5916\u952e\u3001\u4ee3\u6570\u5173\u7cfb\u5efa\u6210\u4e00\u5f20\u4f9d\u8d56\u56fe
\n
4. \u56fe\u4f20\u64ad\uff1aLLM \u5728\u56fe\u4e0a\u8fed\u4ee3 3-5 \u8f6e\uff0c\u6bcf\u8f6e\u770b\u90bb\u5c45\u5b57\u6bb5\u7684\u63cf\u8ff0\u6765\u4fee\u6b63\u81ea\u5df1\u7684\u7406\u89e3
\n

\n

\u8fd9\u6837\u5373\u4f7f\u5b57\u6bb5\u540d\u662faa\uff0c\u7cfb\u7edf\u4e5f\u80fd\u901a\u8fc7\"aa \u00d7 \u6574\u6570\u5b57\u6bb5 \u2248 hj\"\u63a8\u65ad\u51fa aa \u662f\u5355\u4ef7\u3002

\n

\u7075\u611f\u6765\u81ea 2026 \u5e74 3 \u6708\u7684 DBAutoDoc \u8bba\u6587\uff0c\u6838\u5fc3\u601d\u60f3\u662f schema \u7406\u89e3\u672c\u8d28\u4e0a\u662f\u56fe\u7ed3\u6784\u95ee\u9898\u3002

\n

2. \u4e03\u5c42\u5b89\u5168\u9632\u7ebf

\n

\u7269\u7406\u5c42\uff08\u53ea\u8bfb\u8d26\u53f7\uff09\u2192 SQL \u767d\u540d\u5355\uff08\u53ea\u5141\u8bb8 SELECT \uff09\u2192 \u6ce8\u91ca\u7ed5\u8fc7\u9632\u62a4 \u2192\n\u5b57\u6bb5\u7ea7\u6743\u9650\uff08 LLM \u770b\u4e0d\u5230=\u67e5\u4e0d\u5230\uff09\u2192 \u884c\u7ea7\u8fc7\u6ee4 RLAC \uff08\u534e\u4e1c\u5458\u5de5\u53ea\u770b\u534e\u4e1c\u6570\u636e\uff09\u2192\n\u6570\u636e\u8131\u654f\uff08\u624b\u673a\u53f7\u81ea\u52a8\u6253\u7801\uff09\u2192 \u52a8\u6001\u8131\u654f\uff08\u6309\u89d2\u8272\u8fd4\u56de\u4e0d\u540c\u7cbe\u5ea6\uff09\n

\n

3. \u89e3\u8026\u67b6\u6784\uff08\u4e09\u4e2a\u63a5\u53e3\uff09

\n

GET /v1/context \u2014 Agent \u83b7\u53d6 schema+\u6743\u9650+\u6620\u5c04+\u6b67\u4e49\u4fe1\u53f7\nPOST /v1/execute \u2014 Agent \u63d0\u4ea4 SQL \uff0c\u4e2d\u95f4\u5c42\u8d1f\u8d23\u5b89\u5168\u68c0\u67e5+\u6267\u884c+\u8131\u654f\nPOST /v1/chat/completions \u2014 OpenAI \u517c\u5bb9\u63a5\u53e3\uff08\u517c\u5bb9\u5c42\uff09\n

\n

Agent \u5c42\u548c\u6570\u636e\u5c42\u5f7b\u5e95\u5206\u79bb\u3002Agent \u53ea\u7ba1\u751f\u6210 SQL \uff0c\u4e2d\u95f4\u5c42\u53ea\u7ba1\u5b89\u5168\u6267\u884c\u3002

\n

4. \u8de8\u5e93\u5b57\u6bb5\u81ea\u52a8\u5bf9\u9f50

\n

\n
• bge-m3 embedding + Wasserstein \u5206\u5e03\u8ddd\u79bb
\n
• \u4e3b\u52a8\u5b66\u4e60\uff1a\u4f18\u5148\u63a8\u9001\u7f6e\u4fe1\u5ea6 0.6-0.8 \u7684\u6a21\u7cca\u6848\u4f8b\u7ed9\u4eba\u5ba1\u6838\uff08\u4fe1\u606f\u4ef7\u503c\u6700\u9ad8\uff09
\n
• \u7528\u6237\u786e\u8ba4/\u62d2\u7edd\u540e\u81ea\u52a8\u63d0\u53d6\u89c4\u5219\uff0c\u4e0d\u662f\u8c03\u9608\u503c
\n

\n

5. \u544a\u8b66\u8fc7\u6ee4

\n

\u540c\u4e00\u4e2a\u9519\u8bef\u77ed\u65f6\u95f4\u5185\u53cd\u590d\u51fa\u73b0\u4e14\u4ece\u672a\u6210\u529f \u2192 \u81ea\u52a8\u538b\u5236\uff0c\u4e0d\u6253\u6270\u7528\u6237\u3002\u7ba1\u7406\u5458\u53ef\u4ee5\u770b\u5230\"\u50f5\u5c38\u89c4\u5219\"\u5217\u8868\u3002

\n

6. Schema Linking \uff08 LLM \u8def\u7531\uff09

\n

\u4f01\u4e1a\u53ef\u80fd\u6709\u51e0\u5341\u5f20\u8868\u3001\u51e0\u767e\u4e2a\u5b57\u6bb5\uff0c\u4e0d\u53ef\u80fd\u5168\u585e\u7ed9 LLM \u3002\u9700\u8981\u6839\u636e\u7528\u6237\u95ee\u9898\u7cbe\u51c6\u5b9a\u4f4d\u5230\u76f8\u5173\u7684 2-3 \u5f20\u8868\u3002

\n

\u505a\u6cd5\u53c2\u8003\u4e86 SchemaGraphSQL \uff08 ACL ARR 2025 \uff09\uff1a

\n

\n
1. \u5efa\u56fe\uff1a\u628a\u6240\u6709\u8868\u4f5c\u4e3a\u8282\u70b9\uff0c\u5916\u952e\u5173\u7cfb+\u8de8\u5e93\u6620\u5c04\u4f5c\u4e3a\u8fb9
\n
2. LLM \u5b9e\u4f53\u63d0\u53d6\uff1a\u4e00\u6b21\u8c03\u7528\u4ece\u95ee\u9898\u4e2d\u63d0\u53d6\u5173\u952e\u5b9e\u4f53\uff0c\u6620\u5c04\u5230\u76f8\u5173\u8868
\n
3. BFS \u6269\u5c55\uff1a\u5728\u56fe\u4e0a\u4ece\u76f8\u5173\u8868\u51fa\u53d1\u8d70 2 \u8df3\uff0c\u628a JOIN \u9700\u8981\u7684\u5173\u8054\u8868\u4e5f\u5e26\u4e0a
\n
4. \u7cbe\u9009\u5b50\u96c6\uff1a\u6700\u591a\u7ed9 LLM \u770b 5 \u5f20\u8868\u7684 schema \uff0c\u800c\u4e0d\u662f\u5168\u91cf\u51e0\u5341\u5f20
\n

\n

\u8fd9\u6837 LLM \u751f\u6210 SQL \u65f6\u53ea\u770b\u5230\u7cbe\u9009\u7684\u3001\u548c\u95ee\u9898\u76f8\u5173\u7684\u8868\uff0c\u4e0d\u4f1a\u88ab\u65e0\u5173\u8868\u5e72\u6270\uff0c\u751f\u6210\u51c6\u786e\u7387\u663e\u8457\u63d0\u5347\u3002

\n

\u96f6\u6837\u672c\u3001\u4e0d\u9700\u8981 embedding \u6a21\u578b\u3001\u4e0d\u9700\u8981\u8bad\u7ec3\u3002\u4e00\u6b21 LLM \u8c03\u7528\u641e\u5b9a\u8def\u7531\u3002

\n

---

\n

\u529f\u80fd\u5168\u666f\uff08\u7ecf\u8fc7\u51e0\u6b21\u8fed\u4ee3\u540e\u7684\u5f53\u524d\u72b6\u6001\uff09

\n

\u4ece\u6700\u521d\u53ea\u6709\"\u8fde\u6570\u636e\u5e93+\u8c03 LLM\"\uff0c\u5230\u73b0\u5728\u585e\u4e86\u4e00\u5806\u529f\u80fd\u3002\u7528\u4e00\u5f20\u8868\u8bf4\u6e05\u695a\u6bcf\u4e2a\u6a21\u5757\u5e72\u4ec0\u4e48\uff1a

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

\u529f\u80fd\u6a21\u5757	\u89e3\u51b3\u4ec0\u4e48\u95ee\u9898	\u4ec0\u4e48\u573a\u666f\u7528	\u539f\u7406/\u6280\u672f
\u6570\u636e\u753b\u50cf (profiler.py)	\u5b57\u6bb5\u540d\u65e0\u610f\u4e49\u65f6\u65e0\u6cd5\u7406\u89e3\u6570\u636e	scan \u65f6\u81ea\u52a8\u8fd0\u884c\uff0c\u7ed9\u6bcf\u4e2a\u5b57\u6bb5\u5efa\u7edf\u8ba1\u6863\u6848	\u7a7a\u503c\u7387/\u552f\u4e00\u503c\u6bd4\u4f8b/\u6570\u503c\u5206\u5e03/\u9ad8\u9891\u503c\u91c7\u6837
\u4ee3\u6570\u5173\u7cfb\u68c0\u6d4b (profiler.py)	aa\u00d7bb\u2248cc\u8fd9\u79cd\u9690\u542b\u4e1a\u52a1\u5173\u7cfb\u4eba\u770b\u4e0d\u51fa\u6765	\u540c\u8868\u5185\u6570\u503c\u5b57\u6bb5\u4e09\u5143\u7ec4\u679a\u4e3e	numpy \u5411\u91cf\u5316\u8ba1\u7b97\uff0c5%\u8bef\u5dee\u5bb9\u5fcd\u5ea6
\u56fe\u4f20\u64ad\u5f15\u64ce (graph_propagation.py)	\u5355\u770b\u4e00\u4e2a\u5b57\u6bb5\u731c\u4e0d\u51fa\u542b\u4e49\uff0c\u9700\u8981\u4e0a\u4e0b\u6587	scan --semantic \u65f6\u66ff\u4ee3\u9010\u5b57\u6bb5 LLM \u751f\u6210	\u5efa\u4f9d\u8d56\u56fe\u2192LLM \u8fed\u4ee3 3-5 \u8f6e\u2192\u90bb\u5c45\u63cf\u8ff0\u4f5c\u4e3a context \u7cbe\u5316
Schema Linking \u8def\u7531 (schema_graph.py)	\u51e0\u5341\u5f20\u8868\u4e0d\u80fd\u5168\u585e\u7ed9 LLM	\u6bcf\u6b21\u7528\u6237\u63d0\u95ee\u65f6\u81ea\u52a8\u89e6\u53d1	\u5916\u952e\u56fe+LLM \u5b9e\u4f53\u63d0\u53d6+BFS 2 \u8df3\u6269\u5c55\uff0c\u7cbe\u9009\u22645 \u5f20\u8868
\u8de8\u5e93\u8bed\u4e49\u5339\u914d (matching.py)	\u4e0d\u540c\u5e93\u7684\"\u91d1\u989d\"\u53ef\u80fd\u662f\u4e0d\u540c\u6982\u5ff5	scan \u540e\u81ea\u52a8\u4e24\u4e24\u5339\u914d\uff0c\u751f\u6210 pending \u6620\u5c04	bge-m3 embedding + Wasserstein \u5206\u5e03\u8ddd\u79bb
\u4e3b\u52a8\u5b66\u4e60 (matching.py RuleExtractor)	\u4eba\u5de5\u5ba1\u6838\u6548\u7387\u4f4e\uff0c\u4e0d\u77e5\u9053\u5148\u5ba1\u54ea\u4e2a	\u7ba1\u7406\u754c\u9762\u5c55\u793a\u5f85\u5ba1\u6838\u6620\u5c04\u65f6\u6392\u5e8f	\u4f18\u5148\u63a8\u9001\u7f6e\u4fe1\u5ea6 0.6-0.8 \u7684\u6848\u4f8b\uff08\u4fe1\u606f\u4ef7\u503c\u6700\u9ad8\uff09
SQL \u767d\u540d\u5355\u5ba1\u67e5 (security.py)	LLM \u53ef\u80fd\u751f\u6210 DROP TABLE	\u6bcf\u6b21\u6267\u884c SQL \u524d\u5f3a\u5236\u68c0\u67e5	sqlparse \u8bed\u6cd5\u6811\u5206\u6790\uff0c\u53ea\u653e\u884c SELECT/WITH
\u5b57\u6bb5\u7ea7\u6743\u9650 (permissions.py)	\u9500\u552e\u5458\u4e0d\u8be5\u770b\u5230\u6210\u672c\u5b57\u6bb5	schema \u53d1\u7ed9 LLM \u524d\u8fc7\u6ee4	\u914d\u7f6e denied_columns \uff0c\u7269\u7406\u79fb\u9664\u5b57\u6bb5
\u884c\u7ea7\u8fc7\u6ee4 RLAC (executor.py)	\u534e\u4e1c\u5458\u5de5\u53ea\u80fd\u770b\u534e\u4e1c\u6570\u636e	SQL \u6267\u884c\u65f6 CTE \u5b50\u67e5\u8be2\u5305\u88c5\u6ce8\u5165 WHERE	\u4e0d\u4f9d\u8d56 LLM\"\u81ea\u89c9\"\uff0c\u6267\u884c\u5c42\u5f3a\u5236\u6ce8\u5165
\u6570\u636e\u8131\u654f (security.py + executor.py)	\u624b\u673a\u53f7\u8eab\u4efd\u8bc1\u4e0d\u80fd\u660e\u6587\u8fd4\u56de	\u7ed3\u679c\u8fd4\u56de\u524d\u81ea\u52a8\u5904\u7406	\u6b63\u5219\u6253\u7801 + \u6309\u89d2\u8272\u52a8\u6001\u7cbe\u5ea6\uff08 full/partial/round \uff09
\u544a\u8b66\u8fc7\u6ee4 (alert_filter.py)	\u540c\u4e00\u4e2a\u9519\u8bef\u53cd\u590d\u5f39\u51fa\u70e6\u6b7b\u4eba	\u517c\u5bb9\u5c42\u6267\u884c\u5931\u8d25\u65f6\u5224\u65ad	\u6ed1\u52a8\u7a97\u53e3\u9891\u7387\u7edf\u8ba1\uff0c\u22655 \u6b21\u4e14 0 \u6210\u529f\u2192\u538b\u5236
\u6b67\u4e49\u68c0\u6d4b (server.py)	\"\u9500\u552e\u989d\"\u5728\u4e24\u4e2a\u5e93\u90fd\u6709\uff0c\u7528\u54ea\u4e2a\uff1f	/v1/context \u63a5\u53e3\u8fd4\u56de\u6b67\u4e49\u4fe1\u53f7	\u8bed\u4e49\u540d\u7247\u5339\u914d+\u591a\u5e93\u6765\u6e90\u68c0\u6d4b\uff0c\u542b confidence
\u6570\u636e\u65b0\u9c9c\u5ea6 (executor.py)	\u67e5\u5230\u7684\u6570\u636e\u53ef\u80fd\u662f\u4e0a\u5468\u7684	\u6267\u884c\u6210\u529f\u540e\u9644\u52a0\u63d0\u793a	\u67e5 MAX(updated_at)\uff0c\u8d85 24 \u5c0f\u65f6\u8b66\u544a
\u6620\u5c04\u5bfc\u5165\u5bfc\u51fa (admin.py)	DBA \u60f3\u5728 Excel \u91cc\u6279\u91cf\u7ef4\u62a4\u6620\u5c04\u5173\u7cfb	\u7ba1\u7406\u540e\u53f0 CSV \u4e0a\u4f20\u4e0b\u8f7d	CSV \u89e3\u6790 + LLM \u9a8c\u8bc1\u5c42\uff08\u68c0\u67e5\u660e\u663e\u9519\u8bef\uff09
\u6301\u7eed\u5b66\u4e60 (admin.py + matching.py)	\u7528\u6237\u53cd\u9988\u5e94\u8be5\u8ba9\u7cfb\u7edf\u8d8a\u6765\u8d8a\u51c6	confirm/reject \u6620\u5c04\u65f6\u81ea\u52a8\u89e6\u53d1	\u8d1d\u53f6\u65af\u66f4\u65b0\u9608\u503c + \u89c4\u5219\u63d0\u53d6\uff08\u4e0d\u53ea\u662f\u8c03\u53c2\uff09
\u89e3\u8026\u63a5\u53e3 (server.py)	Agent \u5c42\u548c\u6570\u636e\u5c42\u8026\u5408\u5728\u4e00\u8d77\u4e0d\u597d\u6269\u5c55	Agent \u81ea\u5df1\u751f\u6210 SQL \u65f6\u7528 context+execute	REST \u5206\u79bb\uff1acontext \u53ea\u7ed9\u6570\u636e\uff0cexecute \u53ea\u7ba1\u6267\u884c

\u4e00\u5171 22 \u4e2a Python \u6a21\u5757\uff0c7015 \u884c\u4ee3\u7801\u3002\u8bf4\u5b9e\u8bdd\u5199\u5230\u540e\u9762\u81ea\u5df1\u90fd\u89c9\u5f97\u529f\u80fd\u5806\u592a\u591a\u4e86\u3002

\n

---

\n

\u6d4b\u8bd5\u548c\u7ed3\u679c

\n

\u4ee3\u6570\u5173\u7cfb\u68c0\u6d4b

\n

\u7528 100 \u884c\u6a21\u62df\u8ba2\u5355\u6570\u636e\u6d4b\u8bd5\uff1a

\n

\n
• \u53ec\u56de\u7387\uff1a100%\uff08 2/2 \u4e2a\u6807\u6ce8\u5173\u7cfb\u5168\u90e8\u68c0\u6d4b\u5230\uff09
\n
• \u8bef\u62a5\u7387\uff1a0%\uff08\u7f16\u7801\u5b57\u6bb5\u6ca1\u6709\u88ab\u8bef\u5224\u4e3a\u4ee3\u6570\u5173\u7cfb\uff09
\n

\n

\u8bed\u4e49\u5339\u914d\u57fa\u7ebf\uff08\u8bda\u5b9e\u62a5\u544a\uff09

\n

\u7528 10 \u5bf9\u624b\u5de5\u6807\u6ce8\u7684\u8de8\u5e93\u5b57\u6bb5\u5bf9\u6d4b\u8bd5\uff1a

\n

\n
• **\u8d1f\u4f8b\u62d2\u7edd\u7387\uff1a100%**\uff08\u4e0d\u76f8\u5173\u5b57\u6bb5\u4e0d\u4f1a\u88ab\u8bef\u5339\u914d\uff09
\n
• **\u6b63\u4f8b\u53ec\u56de\u7387\uff1a0%**\uff08\u88f8\u82f1\u6587\u5b57\u6bb5\u540d\u5728 bge-m3 \u4e0a\u8bed\u4e49\u5206\u5168\u90e8\u4f4e\u4e8e\u9608\u503c\uff09
\n

\n

\u8fd9\u4e2a 0%\u662f\u9884\u671f\u7684\u2014\u2014\u8bc1\u660e\u4e86\u56fe\u4f20\u64ad\u5c42\u7684\u5fc5\u8981\u6027\u3002\u88f8\u5b57\u6bb5\u540dsales_amount\u548crevenue\u7684 embedding \u76f8\u4f3c\u5ea6\u53ea\u6709 0.67 \uff0c\u4f4e\u4e8e 0.85 \u9608\u503c\u3002\u9700\u8981\u56fe\u4f20\u64ad\u5148\u751f\u6210\u4e2d\u6587\u63cf\u8ff0\uff08\"\u6bcf\u7b14\u8ba2\u5355\u7684\u542b\u7a0e\u9500\u552e\u91d1\u989d\"\uff09\uff0c\u518d\u505a\u5339\u914d\u624d\u6709\u610f\u4e49\u3002

\n

\u4f46\u6211\u8fd8\u6ca1\u6709\u5728\u771f\u5b9e\u6570\u636e\u5e93\u4e0a\u8dd1\u8fc7\u5b8c\u6574\u6d41\u6c34\u7ebf\u3002

\n

\u5b89\u5168\u6d4b\u8bd5

\n

65 \u4e2a\u5b89\u5168\u6d4b\u8bd5\u8986\u76d6\uff1aSQL \u6ce8\u5165\uff08\u542b\u6ce8\u91ca\u7ed5\u8fc7\uff09\u3001JWT \u4f2a\u9020\u3001\u8d8a\u6743\u8bbf\u95ee\u3001\u9891\u7387\u9650\u5236\u3001\u6570\u636e\u8131\u654f\u3002\u5168\u90e8\u901a\u8fc7\u3002

\n

\u603b\u8ba1

\n

134 passed, 0 failed, 21 warnings\n

\n

---

\n

\u6280\u672f\u6808

\n

\n
• Python 3.12 + FastAPI + SQLAlchemy 2.0
\n
• sentence-transformers (bge-m3) \u505a embedding
\n
• numpy/scipy \u505a\u7edf\u8ba1\u9a8c\u8bc1
\n
• SQLite \u5b58\u5143\u6570\u636e\uff08\u96f6\u90e8\u7f72\uff09
\n
• \u652f\u6301 MySQL / PostgreSQL / SQLite / SQL Server / Oracle / \u8fbe\u68a6 / \u4eba\u5927\u91d1\u4ed3
\n

\n

\u5168\u90e8\u4f9d\u8d56 Apache 2.0 / MIT / BSD \uff0c\u53ef\u5546\u7528\u3002

\n

---

\n

\u4e3a\u4ec0\u4e48\u8bf4\u662f\u9524\u5b50\u627e\u9489\u5b50

\n

\u5199\u5b8c\u4e4b\u540e\u51b7\u9759\u4e0b\u6765\u60f3\u4e86\u51e0\u4e2a\u95ee\u9898\uff1a

\n

1. \u8c01\u662f\u7528\u6237\uff1f

\n

\u6211\u5047\u60f3\u7684\u573a\u666f\u662f\"\u4e2d\u578b\u4f01\u4e1a\uff0c\u6709 3-5 \u4e2a\u4e1a\u52a1\u6570\u636e\u5e93\uff0c\u60f3\u8ba9\u4e1a\u52a1\u4eba\u5458\u81ea\u7136\u8bed\u8a00\u67e5\u6570\u636e\"\u3002\u4f46\u6211\u6ca1\u6709\u627e\u5230\u4e00\u4e2a\u5177\u4f53\u7684\u4f01\u4e1a\u8bf4\"\u6211\u9700\u8981\u8fd9\u4e2a\"\u3002

\n

2. \u771f\u5b9e\u573a\u666f\u4e0b\u8fd9\u4e2a\u95ee\u9898\u5b58\u5728\u5417\uff1f

\n

\u4e5f\u8bb8\u5b58\u5728\uff0c\u4f46\u89e3\u51b3\u65b9\u6848\u53ef\u80fd\u4e0d\u662f\u6211\u60f3\u7684\u8fd9\u6837\uff1a

\n

\n
• \u5927\u4f01\u4e1a\u6709\u6570\u636e\u4e2d\u53f0\u56e2\u961f\uff0c\u4eba\u5de5\u5efa\u6570\u636e\u5b57\u5178\u4e0d\u662f\u95ee\u9898
\n
• \u5c0f\u4f01\u4e1a\u53ef\u80fd\u5c31\u4e00\u4e2a MySQL \uff0c\u4e0d\u9700\u8981\u8de8\u5e93\u5bf9\u9f50
\n
• \u4e2d\u578b\u4f01\u4e1a\u53ef\u80fd\u66f4\u9700\u8981\u7684\u662f BI \u5de5\u5177\u800c\u4e0d\u662f\u81ea\u7136\u8bed\u8a00\u67e5\u8be2
\n

\n

3. \"\u4e0d\u7528\u4eba\u5de5\u6d17\u5e93\"\u8fd9\u4e2a\u5356\u70b9\u6210\u7acb\u5417\uff1f

\n

\u56fe\u4f20\u64ad\u65b9\u6848\u7406\u8bba\u4e0a\u80fd\u81ea\u52a8\u7406\u89e3\u5b57\u6bb5\u542b\u4e49\uff0c\u4f46\uff1a

\n

\n
• \u9700\u8981 LLM \uff08\u672c\u5730 7B \u6a21\u578b\u591f\u4e0d\u591f\uff1f\u9700\u8981 API \u8c03\u7528\uff1f\uff09
\n
• \u51c6\u786e\u7387\u672a\u5728\u771f\u5b9e\u810f\u6570\u636e\u4e0a\u9a8c\u8bc1
\n
• \u4f01\u4e1a\u53ef\u80fd\u5b81\u613f\u82b1\u4e00\u5468\u4eba\u5de5\u6807\u6ce8\u4e5f\u4e0d\u613f\u610f\u4fe1\u4efb\u81ea\u52a8\u5316\u7ed3\u679c
\n

\n

4. \u8fc7\u5ea6\u5de5\u7a0b\u4e86\u5417\uff1f

\n

7000 \u884c\u4ee3\u7801\u3001\u56fe\u4f20\u64ad\u3001\u4e3b\u52a8\u5b66\u4e60\u3001\u544a\u8b66\u8fc7\u6ee4\u3001\u52a8\u6001\u8131\u654f\u2026\u2026\u5982\u679c\u7b2c\u4e00\u4e2a\u7528\u6237\u53ea\u9700\u8981\"\u8fde MySQL + \u6743\u9650\u63a7\u5236 + \u8c03 DeepSeek\"\uff0c\u90a3 90%\u7684\u4ee3\u7801\u90fd\u662f\u63d0\u524d\u4f18\u5316\u3002

\n

---

\n

\u5982\u679c\u4f60\u9047\u5230\u8fc7\u8fd9\u4e2a\u95ee\u9898

\n

\u60f3\u542c\u542c\u5927\u5bb6\u7684\u770b\u6cd5\uff1a

\n

\n
1. \u662f\u6211\u60f3\u7684\u8fd9\u4e48\u7b80\u5355\u4e48\u6570\u5b57\u5316\u843d\u5730?LLM + \u4f18\u5316\u5c42 \u8ba1\u5165\u6570\u636e\u5e93\uff0c\u5c31 AI \u843d\u5730\u4e48\uff1f
\n
2. \u771f\u5b9e\u4f01\u4e1a\u6570\u5b57\u5316\u843d\u5730\u6700\u96be\u653b\u514b\u4ec0\u4e48\uff1f
\n
3. \u8fd9\u4e2a\u65b9\u5411\u503c\u5f97\u7ee7\u7eed\u505a\u5417\uff1f\u8fd8\u662f\u5e94\u8be5 pivot \u6210\u66f4\u5177\u4f53\u7684\u4e1c\u897f\uff08\u6bd4\u5982\u53ea\u505a SQL \u5b89\u5168\u5ba1\u67e5\u5c42\uff09\uff1f
\n

\n

\u4ee3\u7801\u5728\u672c\u5730\uff0c\u5982\u679c\u6709\u4eba\u611f\u5174\u8da3\u53ef\u4ee5\u5f00\u6e90\u3002\u4e5f\u6b22\u8fce\u76f4\u63a5\u544a\u8bc9\u6211\u8fd9\u662f\u4e2a\u4f2a\u9700\u6c42\uff0c\u7701\u5f97\u6211\u7ee7\u7eed\u5f80\u91cc\u9762\u6295\u65f6\u95f4\u3002

\n

---

\n

\u53c2\u8003\u7684\u8bba\u6587\u548c\u5f00\u6e90\u9879\u76ee

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

\u6765\u6e90	\u7528\u5728\u54ea	\u600e\u4e48\u7528\u7684
SchemaGraphSQL (ACL ARR 2025)	Schema Linking \u8def\u7531	\u6838\u5fc3\u601d\u60f3\uff1a\u7528\u5916\u952e\u5173\u7cfb\u56fe+LLM \u5b9e\u4f53\u63d0\u53d6+BFS \u8def\u5f84\u641c\u7d22\u505a schema linking \uff0c\u96f6\u6837\u672c\u4e0d\u9700\u8981\u8bad\u7ec3\u3002\u6211\u76f4\u63a5\u5b9e\u73b0\u4e86\u8fd9\u4e2a\u65b9\u6848
DBAutoDoc (2026.03)	\u56fe\u4f20\u64ad\u5f15\u64ce	\u6838\u5fc3\u601d\u60f3\uff1aschema \u7406\u89e3\u662f\u56fe\u7ed3\u6784\u95ee\u9898\uff0c\u901a\u8fc7\u4f9d\u8d56\u56fe\u8fed\u4ee3\u4f20\u64ad\u8bed\u4e49\u4fee\u6b63\u76f4\u5230\u6536\u655b\u3002\u6211\u7b80\u5316\u4e86\u5b9e\u73b0\uff0c\u6ca1\u7528\u539f\u6587\u7684 GNN \uff0c\u76f4\u63a5 LLM \u8fed\u4ee3
LLM-FK (2025)	\u5916\u952e\u53d1\u73b0\u601d\u8def	\u4e09 agent \u534f\u4f5c\uff08 Interpreter/Refiner/Verifier \uff09\u7684\u601d\u8def\u542f\u53d1\u4e86\u6211\u7684\u7ea6\u675f\u53d1\u73b0\u8bbe\u8ba1\uff0c\u4f46\u6211\u6ca1\u5b9e\u73b0\u591a agent \uff0c\u53ea\u7528\u4e86\u7edf\u8ba1\u65b9\u6cd5
Valentine	\u8de8\u5e93\u5339\u914d baseline	schema matching \u7684\u5f00\u6e90 benchmark \uff0c\u53c2\u8003\u4e86\u5b83\u7684\u8bc4\u4f30\u65b9\u6cd5\u8bba\uff08 precision/recall on labeled pairs \uff09
ALITE	\u7ea6\u675f\u53d1\u73b0	\u7528\u6570\u636e\u5206\u6790\u53d1\u73b0\u51fd\u6570\u4f9d\u8d56\u548c\u5305\u542b\u4f9d\u8d56\u7684\u601d\u8def\uff0c\u6211\u7b80\u5316\u6210\u4e86\u4ee3\u6570\u5173\u7cfb\u68c0\u6d4b\uff08 A\u00d7B\u2248C \uff09
sentence-transformers	embedding \u8ba1\u7b97	\u76f4\u63a5\u7528\u7684 bge-m3 \u6a21\u578b\u505a\u5b57\u6bb5\u8bed\u4e49\u5411\u91cf\u5316
FastAPI	Web \u6846\u67b6	OpenAI \u517c\u5bb9\u63a5\u53e3
SQLAlchemy	\u6570\u636e\u5e93\u8fde\u63a5	\u591a\u6570\u636e\u5e93\u7edf\u4e00\u9002\u914d\u5c42
sqlparse	SQL \u5b89\u5168\u5ba1\u67e5	\u8bed\u6cd5\u6811\u5206\u6790\uff0c\u767d\u540d\u5355\u9a8c\u8bc1\uff0c\u8868\u540d\u63d0\u53d6

\u90e8\u5206\u8bba\u6587 ai \u641c\u7684\uff0c\uff0c\uff0c\uff0c\n\u8bf4\u5b9e\u8bdd\uff0c\u8bba\u6587\u8bfb\u4e86\u4e0d\u5c11\uff0c\u4f46\u771f\u6b63\u843d\u5730\u65f6\u5927\u5e45\u7b80\u5316\u4e86\u3002DBAutoDoc \u539f\u6587\u7528\u7684\u662f GNN \u505a\u56fe\u4f20\u64ad\uff0c\u6211\u76f4\u63a5\u7528 LLM \u8fed\u4ee3\u66ff\u4ee3\u4e86\uff08\u56e0\u4e3a\u76ee\u6807\u573a\u666f\u662f\u4f01\u4e1a\u5185\u90e8\u51e0\u5341\u5f20\u8868\uff0c\u4e0d\u662f\u51e0\u5343\u5f20\u8868\u7684\u5b66\u672f benchmark \uff0cLLM \u8fed\u4ee3 3-5 \u8f6e\u5b8c\u5168\u591f\u7528\uff09\u3002

\n

---

\n

\u6280\u672f\u7ec6\u8282\uff1aPython 3.12 / FastAPI / SQLAlchemy / bge-m3 / \u56fe\u4f20\u64ad\u67b6\u6784 / 134 \u6d4b\u8bd5\u5168\u7eff

\n

\u9644\u4ed3\u5e93\uff08\u4e3a\u4e86\u907f\u514d\u8bf4\u63a8\u5e7f\u4ed3\u5e93\u7684\uff0c\u6240\u4ee5\u653e\u6700\u540e\uff09\uff1a\nhttps://github.com/val1813/kwb

\u60f3\u6362\u4e2a\u65b0\u7684\u53f0\u5f0f\u7535\u8111\uff0c\u5e73\u5e38\u5f00\u53d1\u7528\u7684\uff0c\u5076\u5c14\u6253\u6e38\u620f\uff0c\u60f3\u7a7a\u95f2\u65f6\u95f4\u80fd\u591f\u672c\u5730\u8bad\u7ec3 AI \uff0c\u8bf7\u95ee\u5927\u5bb6\u6709\u63a8\u8350\u7684\u914d\u7f6e\u6e05\u5355\u5417\uff1f\u6709\u6807\u8bb0\u4ef7\u683c\u5c31\u66f4\u597d\u4e86

Spark \u6700\u8d35\uff0c\u548c\u540e\u4e24\u8005\u4ef7\u94b1\u6709\u70b9\u513f\u533a\u522b\uff0c\u4e0d\u8fc7\u770b\u8d77\u6765\u90fd\u50cf\u662f\u540c\u4e00\u4e2a\u65b9\u6848\uff0c\u53ea\u662f\u516c\u7248\u548c\u5404\u5bb6\u81ea\u5df1\u724c\u5b50\u7684\u533a\u522b\u800c\u5df2\uff1f

\n
• Spark \u81ea\u5e26\u5f00\u7bb1\u5373\u7528\u7684\u5de5\u5177\u96c6\uff0c\u4f1a\u6709\u8001\u9ec4\u5bb6\u5728 Spark \u4e0a\u624d\u80fd\u7528\u7684\u5de5\u5177\u5417\uff1f
\n
• \u7528\u7ebf\u5bf9\u8054 Spark \u4e5f\u80fd\u548c\u53e6\u5916\u4e24\u4e2a\u673a\u578b\uff0c\u6269\u5c55\u4f7f\u7528 LLM \uff1f
\n
• \u4e09\u8005\u6709\u4ec0\u4e48\u4ea7\u54c1\u786c\u4ef6\u4e0a\u7684\u5dee\u5f02\u533a\u522b\uff1f
\n

https://github.com/Luce-Org/lucebox-hub

DFlash DDtree Qwen3.5 & Qwen3.6 27B GGUF on RTX 3090\nFirst GGUF port of DFlash speculative decoding. Qwen3.5-27B on a single RTX 3090, Q4_K_M target + BF16 draft, DDTree budget=22.

Up to 207 tok/s in the demo (207.6 tok/s DFlash vs 38.0 tok/s AR, 5.46\u00d7)\n129.5 tok/s mean on the HumanEval 10-prompt bench\n3.43\u00d7 faster than autoregressive (+15% over chain speculative decoding)\n2.8\u00d7 faster than SGLang AWQ on the same hardware\nUp to 256K context in 24 GB via TurboQuant TQ3_0 KV cache (128K Q4_0 bench: 134.78 tok/s at ctx=131072)

PFlash speculative prefill on RTX 3090\nIn-process speculative prefill, C++/CUDA only. A drafter (Qwen3-0.6B BF16) loaded directly into the dflash daemon scores per-token importance over a long prompt; the heavy target (Qwen3.6-27B Q4_K_M) only prefills the spans that matter. Both models share the same ggml allocator on a single RTX 3090. No Python, no Triton, no PyTorch at runtime \u2014 just the dflash binary and four custom CUDA kernels (mean_K \u2192 score \u2192 select \u2192 sparse_fwd) plus BSA (mit-han-lab/Block-Sparse-Attention, FA-2 derived, sm_80+) for the long-context drafter forward.

~10.4\u00d7 TTFT on 128K context: 24.8 s dflash daemon vs ~257 s llama.cpp (FA on, Q4_0 KV).\n10.0\u00d7 TTFT on 64K context: 13.5 s dflash vs 134.95 s llama.cpp.\nNIAH single-needle retrieved at every measured context (32K \u2192 128K), keep_ratio=0.05, DFLASH_FP_ALPHA=0.85.

\u914d\u7f6e\u4e3a m1max 64g+1T \uff0c\u6700\u8fd1\u641e\u4e86\u4e2a\u5c0f\u5c0f\u9f99\u867e\uff0c\u6d88\u8017\u7684 token \u592a\u5feb\u4e86\uff0c\u6253\u7b97\u90e8\u7f72\u5404\u672c\u5730\u6a21\u578b\uff0c\u4e00\u6765\u4e86\u89e3\u4e86\u89e3\uff0c\u800c\u6765\u662f\u60f3\u505a\u4e0b\u7b80\u5355\u7684\u7ffb\u8bd1\u3001\u6587\u6863\u5904\u7406\u7684\u5de5\u4f5c\u3002\u80fd\u6709\u5408\u9002\u7684\u672c\u5730\u6a21\u578b\u5417\uff1f

\u5404\u4f4d\u5927\u4f6c\u4eec\uff0c\u6211\u81ea\u5df1\u7535\u8111\u914d\u7f6e\u4e5f\u633a\u9ad8 9800x3d+5070ti,\u4f46\u662f\u81ea\u5df1\u73a9\u5927\u6a21\u578b\u611f\u89c9\u7b97\u529b\u4e0d\u591f\uff0c\u8f93\u51fa\u901f\u5ea6\u597d\u6162\uff0c\u6709\u6ca1\u6709\u5927\u4f6c\u63a8\u8350\u4e00\u4e0b\u4ec0\u4e48\u663e\u5361\u73a9\u5927\u6a21\u578b\u7b97\u529b\u8231\u8fd8\u6bd4\u8f83\u4e0d\u9519\u7684

\u6211\u505a\u4e86\u4e00\u4e2a\u4e13\u95e8\u4e3a\u672c\u5730\u5f00\u6e90\u6a21\u578b\u4f18\u5316\u7684 Coding Agent \uff0c\u5e0c\u671b\u66f4\u591a\u534e\u4eba\u5f00\u53d1\u8005\u4e00\u8d77\u6765\u641e

\n

\u672c\u8d34\u53d1\u5e03\u7684\u76ee\u7684\u4e0d\u662f\u63a8\u4ea7\u54c1\uff0c\u4e0d\u662f\u70ab\u6280\uff0c\u800c\u662f\u60f3\u626c\u7709\u5410\u6c14\u2014\u2014\u548c\u534e\u4eba\u5f00\u53d1\u8005\u4e00\u8d77\uff0c\u548c\u5f00\u6e90\u6a21\u578b\u672c\u5730\u90e8\u7f72\u5f00\u53d1\u8005\u4e00\u8d77\uff0c\u505a\u4e00\u4ef6\u6211\u4eec\u81ea\u5df1\u7684\u4e8b\u3002

\n

\u4e00\u3001\u6211\u9047\u5230\u4e86\u4ec0\u4e48\u95ee\u9898

\u53bb\u5e74\u5f00\u59cb\u7528\u672c\u5730\u6a21\u578b\u505a\u7f16\u7a0b\u8f85\u52a9\u3002\u539f\u56e0\u5f88\u7b80\u5355\uff1a\u516c\u53f8\u4ee3\u7801\u4e0d\u80fd\u4f20\u5230\u6d77\u5916\u670d\u52a1\u5668\uff0cClaude Code \u548c Cursor \u8d70\u4e0d\u901a\u3002

\u4f46\u66f4\u5927\u7684\u95ee\u9898\u662f\uff1a\u4e2d\u56fd\u5f00\u53d1\u8005\u6839\u672c\u6ca1\u6709\u4e00\u4e2a\u597d\u7528\u7684\u672c\u5730 coding agent \u5e73\u53f0\u3002

CC \u9700\u8981\u7ffb\u5899\uff0c\u8fd8\u8981\u8ba2\u9605\u3002Cursor \u540c\u6837\u3002Codex \u521a\u51fa\u6765\u4e5f\u662f\u6d77\u5916\u670d\u52a1\u3002Hermes \u8fd9\u7c7b\u5f00\u6e90\u5de5\u5177\u4e0d\u652f\u6301 Windows \u539f\u751f\u8fd0\u884c\uff0c\u8981\u88c5 WSL2 \uff0c\u529d\u9000\u4e86\u5927\u591a\u6570\u56fd\u5185\u5f00\u53d1\u8005\u3002\u6700\u540e\u5927\u5bb6\u7684\u9009\u62e9\u662f\uff1a\u8981\u4e48\u7ffb\u5899\u51d1\u5408\u7528\uff0c\u8981\u4e48\u5fcd\u7740\u4e0d\u7528\u3002

\u8fd9\u662f\u4e00\u4e2a\u771f\u5b9e\u5b58\u5728\u7684\u7a7a\u7f3a\uff0c\u6ca1\u6709\u4eba\u586b\u3002

\u672c\u5730\u8dd1 qwen3:8b \uff0c\u7136\u540e\u53d1\u73b0\u95ee\u9898\u4e00\u4e2a\u63a5\u4e00\u4e2a\uff1a

\ud83d\udd34 \u65e0\u9650\u5faa\u73af\uff0c\u50cf\u5361\u5e26\u4e00\u6837

\u8fd9\u662f\u672c\u5730\u5c0f\u6a21\u578b\u6700\u8ba9\u4eba\u6293\u72c2\u7684\u95ee\u9898\u3002\u9047\u5230\u5b83\u4e0d\u4f1a\u5904\u7406\u7684\u573a\u666f\uff0c\u5b83\u4e0d\u4f1a\u8bf4\"\u6211\u4e0d\u77e5\u9053\"\uff0c\u800c\u662f\u5f00\u59cb\u91cd\u590d\u2014\u2014\u540c\u4e00\u53e5\u8bdd\u8bf4\u4e09\u904d\uff0c\u540c\u4e00\u4e2a\u9519\u8bef\u7684\u4fee\u6539\u5efa\u8bae\u5faa\u73af\u51fa\u73b0\uff0c\u540c\u4e00\u6bb5\u4ee3\u7801\u53cd\u590d\u751f\u6210\u3002\u6574\u4e2a\u4efb\u52a1\u5361\u6b7b\uff0c\u53ea\u80fd\u624b\u52a8\u5f3a\u5236\u9000\u51fa\u3002\u8fd9\u4e0d\u662f\u5076\u53d1\u73b0\u8c61\uff0c\u662f\u5c0f\u6a21\u578b\u5728\u63a8\u7406\u80fd\u529b\u4e0d\u8db3\u65f6\u7684\u5178\u578b\u5d29\u6e83\u6a21\u5f0f\u3002

\ud83d\udd34 \u4fee bug \u53cd\u590d\u8e29\u540c\u4e00\u4e2a\u5751

\u8ba9\u5b83\u4fee\u4e00\u4e2a\u51fd\u6570\uff0c\u7b2c\u4e00\u6b21\u5931\u8d25\uff0c\u7b2c\u4e8c\u6b21\u7528\u5b8c\u5168\u4e00\u6837\u7684\u65b9\u5f0f\u518d\u8bd5\uff0c\u7b2c\u4e09\u6b21\u4f9d\u7136\u3002\u4e09\u6b21\u673a\u4f1a\u5168\u6d6a\u8d39\u5728\u540c\u4e00\u4e2a\u9519\u8bef\u4e0a\uff0c\u4ec0\u4e48\u90fd\u6ca1\u63a8\u8fdb\u3002

\ud83d\udd34 \u6a21\u578b\u80fd\u529b\u672c\u8eab\u5c31\u5f31\u4e8e API \u6a21\u578b

\u8fd9\u662f\u65e0\u6cd5\u56de\u907f\u7684\u73b0\u5b9e\u30028B \u300114B \u7684\u53c2\u6570\u91cf\uff0c\u63a8\u7406\u80fd\u529b\u548c Claude Opus \u3001GPT-4 \u5dee\u8ddd\u660e\u663e\u3002\u8ba9\u4e00\u4e2a 8B \u6a21\u578b\u625b\u4e0b\u4e00\u4e2a\u590d\u6742\u4efb\u52a1\u7684\u5168\u90e8\u63a8\u7406\uff0c\u6210\u529f\u7387\u5f88\u4f4e\uff0c\u8fd9\u4e0d\u662f\u54ea\u4e2a\u5de5\u5177\u7684\u95ee\u9898\uff0c\u662f\u6a21\u578b\u672c\u8eab\u7684\u8fb9\u754c\u3002

\ud83d\udd34 \u627e\u4e0d\u5230\u8981\u6539\u7684\u6587\u4ef6

\u9879\u76ee\u5927\u4e86\u4e4b\u540e\uff0c\u6a21\u578b\u6839\u672c\u4e0d\u77e5\u9053\u8981\u6539\u54ea\u4e2a\u6587\u4ef6\u3002\u8ba9\u5b83\u627e bug \uff0c\u5b83\u8981\u4e48\u731c\u9519\uff0c\u8981\u4e48\u8bf4\"\u6211\u9700\u8981\u770b\u66f4\u591a\u4ee3\u7801\"\uff0c\u7136\u540e\u628a\u6574\u4e2a\u9879\u76ee\u585e\u8fdb context \uff0c\u7136\u540e context \u53c8\u7206\u4e86\u3002

\ud83d\udd34 \u5bf9\u8bdd\u51e0\u8f6e\u5c31\u5f00\u59cb\u9057\u5fd8

8B \u6a21\u578b context \u7a97\u53e3\u53ea\u6709 8K \uff0c\u5bf9\u8bdd\u591a\u4e86\u5c31\u6ee1\u4e86\uff0c\u6a21\u578b\u5f00\u59cb\u7ed9\u51fa\u9a74\u5507\u4e0d\u5bf9\u9a6c\u5634\u7684\u56de\u7b54\u3002

\u8fd9\u4e9b\u95ee\u9898\u53e0\u5728\u4e00\u8d77\uff0c\u7528\u672c\u5730\u6a21\u578b\u505a\u5f00\u53d1\u8f85\u52a9\u7684\u4f53\u9a8c\u6781\u5dee\u3002

\u6240\u4ee5\u6211\u60f3\u81ea\u5df1\u505a\u4e00\u4e2a\u4ea7\u54c1\u6765\u8dd1\u3002\u6709\u4eba\u5c31\u4f1a\u8bf4\uff1a\u4e3a\u4ec0\u4e48\u4e0d\u76f4\u63a5\u7528 ollama + cc \uff1f\u8fd8\u53cb\u60c5\u6307\u5bfc\u6211\u547d\u4ee4\u3002

\u54ce\u3002

\u5927\u5382\u7684\u4ea7\u54c1\u53ea\u4f1a\u4e3a\u5b83\u7684\u5546\u4e1a\u6a21\u5f0f\u670d\u52a1\u3002ollama \u653e\u5f03\u4e86\u53c2\u6570\u5fae\u8c03\u6765\u6362\u53d6\u7a33\u5b9a\uff0clm \u8ba9\u5f00\u53d1\u8005\u7ea0\u7ed3\u4ec0\u4e48\u662f\u6700\u4f18\uff0cCC/Codex/Cursor \u90fd\u662f\u5356 token \uff0c\u6ca1\u6709\u4eba\u4f1a\u771f\u7684\u8ba4\u771f\u60f3\u672c\u5730\u90e8\u7f72\u7f3a\u4ec0\u4e48\uff0c\u9700\u8981\u4f18\u5316\u4ec0\u4e48\uff0c\u8bb0\u5fc6\u600e\u4e48\u4f18\u5316\uff0c\u4e0a\u4e0b\u6587\u600e\u4e48\u538b\u7f29\uff0c\u5c0f\u53c2\u6570\u600e\u4e48\u8f85\u52a9\u3002

\u4f46\u6211\u4eba\u5fae\u8a00\u8f7b\uff0c\u6240\u4ee5\u6211\u505a\u4e86\u4e2a MVP \u60f3\u629b\u7816\u5f15\u7389\u3002\u6211\u4eec\u53ef\u4ee5\u4e00\u8d77\u628a\u8981\u4f18\u5316\u7684\u90fd\u4f18\u5316\u4e86\uff0c\u6253\u9020\u6211\u4eec\u81ea\u5df1\u7684\u4ea7\u54c1\u3002

\u6709\u4eba\u4e5f\u8bf4\uff0c\u6211\u80fd\u529b\u4e0d\u591f\u3002

\u90a3\u6211\u7684\u601d\u8def\u662f\uff1a\u4e0d\u591f\u5c31\u505a\u6574\u5408\uff0c\u591f\u4e86\u5c31\u505a\u7a81\u7834\u3002

\u6240\u4ee5\u6211\u505a\u4e86 KWCode \uff0c\u4e0d\u662f\u4e3a\u4e86\u5546\u4e1a\u5316\uff0cMIT \u4efb\u4f55\u4eba\u90fd\u80fd\u62ff\u8d70\uff0c\u53ea\u5e0c\u671b\u54ea\u4e2a\u611f\u5174\u8da3\u7684\u5927\u795e\uff0c\u613f\u610f\u548c\u6211\u6216\u8005\u548c\u6240\u6709\u5f00\u53d1\u8005\u4e00\u8d77\u628a\u5b83\u5b9e\u73b0\u5e76\u5f00\u6e90\uff0c\u7ed9\u6240\u6709\u88ab\u672c\u5730\u90e8\u7f72\u8188\u5e94\u7684\u5b9d\u5b50\u4eec\u3002

\u4e8c\u3001\u6211\u7528\u4e86\u54ea\u4e9b\u601d\u8def

\u601d\u8def\u4e00\uff1aMoE \u67b6\u6784\u2014\u2014\u8ba9 LLM \u53ea\u505a\u5b83\u64c5\u957f\u7684\u90a3\u4e00\u6b65

\u8fd9\u662f KWCode \u6700\u6838\u5fc3\u7684\u8bbe\u8ba1\u51b3\u7b56\uff0c\u4e5f\u662f\u89e3\u51b3\u4e0a\u9762\u6240\u6709\u95ee\u9898\u7684\u6839\u672c\u601d\u8def\u3002

\u4f20\u7edf coding agent \u7684\u67b6\u6784\u662f\uff1a\u4e00\u4e2a LLM \u625b\u5168\u90e8\u2014\u2014\u7406\u89e3\u9700\u6c42\u3001\u5b9a\u4f4d\u4ee3\u7801\u3001\u751f\u6210\u4fee\u6539\u3001\u9a8c\u8bc1\u7ed3\u679c\uff0c\u5168\u8ba9\u540c\u4e00\u4e2a\u6a21\u578b\u505a\u3002\u5f3a\u6a21\u578b\u80fd\u625b\uff0c\u5c0f\u6a21\u578b\u625b\u4e0d\u4f4f\uff0c\u7136\u540e\u5c31\u5f00\u59cb\u5faa\u73af\u3001\u5e7b\u89c9\u3001\u4e71\u8bf4\u3002

KWCode \u7528\u7684\u662f MoE \uff08 Mixture of Experts \uff09\u67b6\u6784\uff1a\u628a\u4efb\u52a1\u5207\u788e\uff0c\u6bcf\u4e2a\u4e13\u5bb6\u53ea\u505a\u4e00\u4ef6\u4e8b\uff0cLLM \u53ea\u8d1f\u8d23 Gate \u5206\u7c7b\u548c\u5185\u5bb9\u751f\u6210\uff0c\u5176\u4ed6\u6b65\u9aa4\u80fd\u4e0d\u8c03 LLM \u5c31\u4e0d\u8c03\u3002

\u7528\u6237\u8f93\u5165\n \u2514\u2500\u25ba Gate \uff08 LLM \u505a\u4e00\u6b21\u5206\u7c7b\uff0c\u5224\u65ad\u4efb\u52a1\u7c7b\u578b\uff09\n \u2514\u2500\u25ba Locator \uff08 BM25 + \u8c03\u7528\u56fe\uff0c\u4e0d\u8c03 LLM \uff0c\u6beb\u79d2\u7ea7\u5b9a\u4f4d\u6587\u4ef6\u548c\u51fd\u6570\uff09\n \u2514\u2500\u25ba Generator \uff08 LLM \u53ea\u5199\u9700\u8981\u4fee\u6539\u7684\u90a3\u51e0\u884c\u4ee3\u7801\uff09\n \u2514\u2500\u25ba Verifier \uff08\u81ea\u52a8\u8dd1\u8bed\u6cd5\u68c0\u67e5 + pytest \uff0c\u4e0d\u8c03 LLM \uff09\n \u2514\u2500\u25ba SearchAugmentor \uff08\u4e24\u6b21\u5931\u8d25\u540e\u81ea\u52a8\u641c\u7d22\uff09\n

LLM \u5728\u8fd9\u6761\u6d41\u6c34\u7ebf\u91cc\u7684\u4efb\u52a1\u88ab\u538b\u5230\u4e86\u6700\u5c0f\uff1aGate \u505a\u4e00\u6b21\u5206\u7c7b\uff0cGenerator \u751f\u6210\u51e0\u884c\u4ee3\u7801\u3002\u5b9a\u4f4d\u6587\u4ef6\u3001\u9a8c\u8bc1\u7ed3\u679c\u8fd9\u4e24\u4ef6\u6700\u8017\u63a8\u7406\u80fd\u529b\u7684\u4e8b\uff0c\u5b8c\u5168\u4e0d\u8ba9 LLM \u505a\u3002

\n

\u53c2\u8003\uff1aAgentless \u8bba\u6587\uff08 ICSE 2025 \uff09\u2014\u2014\u786e\u5b9a\u6027\u6d41\u6c34\u7ebf\u5728 SWE-bench \u4e0a\u540c\u65f6\u8fbe\u5230\u6700\u9ad8\u901a\u8fc7\u7387\u548c\u6700\u4f4e\u6210\u672c\uff0c\u4f18\u4e8e\u8ba9 LLM \u81ea\u4e3b\u51b3\u7b56\u7684\u590d\u6742 agent \u3002\u539f\u56e0\u5f88\u7b80\u5355\uff1a\u6bcf\u4e00\u6b65 scope \u6781\u5c0f\uff0c\u5c0f\u6a21\u578b\u5728\u5c0f scope \u91cc\u8868\u73b0\u7a33\u5b9a\u3002

\n

\u601d\u8def\u4e8c\uff1a\u7528\u8c03\u7528\u56fe\u5b9a\u4f4d\u4ee3\u7801\uff0c\u4e0d\u9760 LLM \u731c

\u4ee3\u7801\u5b9a\u4f4d\u662f\u5c0f\u6a21\u578b\u6700\u5bb9\u6613\u5931\u8d25\u7684\u6b65\u9aa4\uff0c\u628a\u5b83\u4ece LLM \u624b\u91cc\u62ff\u8d70\uff0c\u6362\u6210\u786e\u5b9a\u6027\u7b97\u6cd5\u3002

CodeCompass \uff08 arXiv:2602.20048 \uff0c2026 \u5e74\uff09\u505a\u4e86 258 \u6b21\u5b9e\u9a8c\uff0c\u53d1\u73b0\u4e86\u4e00\u4e2a\u5173\u952e\u7ed3\u8bba\uff1a

\n

\u771f\u5b9e\u9879\u76ee\u91cc\uff0c\u5f88\u591a bug \u7684\u6839\u56e0\u6587\u4ef6\u540d\u548c\u9519\u8bef\u63cf\u8ff0\u6beb\u65e0\u5173\u8054\uff0c\u53ea\u80fd\u901a\u8fc7\u8c03\u7528\u94fe\u8ffd\u8e2a\u624d\u80fd\u627e\u5230\u3002\u5bf9\u8fd9\u7c7b\"\u9690\u85cf\u4f9d\u8d56\"\u4efb\u52a1\uff0cBM25 \u5173\u952e\u8bcd\u641c\u7d22\u51c6\u786e\u7387\u53ea\u6709 **76.2%**\uff0c\u800c\u56fe\u904d\u5386\u8fbe\u5230 **99.4%**\uff0c\u5dee\u4e86 23 \u4e2a\u767e\u5206\u70b9\u3002

\n

KWCode \u7684\u4e24\u9636\u6bb5\u68c0\u7d22\uff1a

\n
1. BM25 \u5173\u952e\u8bcd\u53ec\u56de\uff08\u6beb\u79d2\u7ea7\uff0c\u4e0d\u8c03 LLM \uff09\uff1a\u4ece\u4ee3\u7801\u5e93\u6240\u6709\u51fd\u6570/\u7c7b\u4e2d\uff0c\u5feb\u901f\u53ec\u56de top-20 \u5019\u9009
\n
2. AST \u8c03\u7528\u56fe\u5c55\u5f00\uff08\u6beb\u79d2\u7ea7\uff0c\u4e0d\u8c03 LLM \uff09\uff1a\u5bf9\u6bcf\u4e2a\u5019\u9009\u51fd\u6570\uff0c\u6cbf\u8c03\u7528\u56fe\u5411\u4e0a\u5411\u4e0b\u5404\u5c55\u5f00 2 \u8df3\uff0c\u53d1\u73b0\u9690\u85cf\u4f9d\u8d56
\n

\u6574\u4e2a\u8fc7\u7a0b\u4e0d\u8c03 LLM \uff0cSQLite \u6301\u4e45\u5316\u8c03\u7528\u56fe\uff0c\u91cd\u542f\u4e0d\u91cd\u5efa\u3002

\u6280\u672f\u6808\uff1atree-sitter + rank-bm25 + SQLite\u3002\u4e0d\u9700\u8981 Neo4j \uff0c\u4e0d\u9700\u8981 embedding \u6a21\u578b\uff0c\u4e0d\u9700\u8981\u989d\u5916 Docker \u3002

\u601d\u8def\u4e09\uff1a\u6253\u7834\u5faa\u73af\u2014\u2014\u5931\u8d25\u65f6\u5f3a\u5236\u6362\u7b56\u7565

\u9488\u5bf9\"\u53cd\u590d\u8e29\u540c\u4e00\u4e2a\u5751\"\u548c\"\u65e0\u9650\u5faa\u73af\"\u8fd9\u4e24\u4e2a\u95ee\u9898\uff1a

\u53cd\u65e0\u9650\u5faa\u73af\uff1aMAX_RETRIES \u786c\u7f16\u7801\u4e3a 3 \uff0c\u6ca1\u6709\u4efb\u4f55\u8def\u5f84\u80fd\u7ed5\u8fc7\u3002\u540c\u65f6\u68c0\u6d4b\u8fde\u7eed\u4e24\u6b21\u751f\u6210\u5b8c\u5168\u76f8\u540c\u7684 patch \uff0c\u76f4\u63a5\u8df3\u8fc7\u4e0d\u91cd\u8bd5\uff0c\u544a\u8bc9\u7528\u6237\"\u6a21\u578b\u5361\u4f4f\u4e86\uff0c\u5efa\u8bae\u7f29\u5c0f\u4efb\u52a1\u8303\u56f4\"\u3002

\u53cd\u91cd\u590d\u5931\u8d25\uff1a\u4e09\u6b21\u91cd\u8bd5\u5f3a\u5236\u7528\u4e09\u79cd\u4e0d\u540c\u7684\u95ee\u9898\u8868\u8ff0\uff1a

\u7b2c\u4e00\u6b21\u5931\u8d25\u540e\u5148\u505a Reflection\uff1a\u8ba9 LLM \u4e00\u53e5\u8bdd\u5206\u6790\u4e0a\u6b21\u5931\u8d25\u7684\u539f\u56e0\uff0c\u7136\u540e\u628a\u8fd9\u4e2a\u5206\u6790\u6ce8\u5165\u4e0b\u6b21\u7684 prompt \u3002\u4e0d\u662f\u8ba9\u6a21\u578b\u81ea\u7531\u53d1\u6325\uff0c\u662f\u5f3a\u5236\u5b83\u5148\u8bca\u65ad\u518d\u4fee\u3002

\u601d\u8def\u56db\uff1a\u4e13\u5bb6\u98de\u8f6e\uff0c\u8d8a\u7528\u8d8a\u61c2\u4f60\u7684\u9879\u76ee

\n

\u53c2\u8003\uff1aEE-MCP \uff08 NeurIPS 2025 \uff09\u2014\u2014\u4ece\u4efb\u52a1\u6267\u884c\u8f68\u8ff9\u81ea\u52a8\u63d0\u53d6\u7ecf\u9a8c\uff0c\u9a8c\u8bc1\u53ef\u663e\u8457\u63d0\u5347\u540e\u7eed\u540c\u7c7b\u4efb\u52a1\u6210\u529f\u7387\u3002

\n

KWCode \u9884\u7f6e\u4e86 15 \u4e2a\u4e13\u5bb6\uff08 BugFix \u3001TestGen \u3001SpringBoot \u3001FastAPI \u7b49\uff09\uff0c\u6bcf\u4e2a\u4e13\u5bb6\u6709\u72ec\u7acb\u7684 system prompt \u3002

\u540c\u7c7b\u4efb\u52a1\u6210\u529f 5 \u6b21\u4e4b\u540e\uff0c\u98de\u8f6e\u81ea\u52a8\u5206\u6790\u8f68\u8ff9\uff0c\u751f\u6210\u65b0\u4e13\u5bb6\uff0c\u7ecf\u8fc7\u4e09\u9053\u9a8c\u8bc1\u95e8\u540e\u6295\u4ea7\uff1a

\n
• \u56de\u6d4b\u95e8\uff1a\u65b0\u4e13\u5bb6\u6210\u529f\u7387\u5fc5\u987b \u2265 \u539f\u6d41\u6c34\u7ebf
\n
• AB \u6d4b\u8bd5\u95e8\uff1a10 \u6b21\u771f\u5b9e\u5bf9\u6bd4\uff0c\u63d0\u5347\u8d85\u8fc7 10% \u624d\u6295\u4ea7
\n
• \u751f\u547d\u5468\u671f\uff1anew \u2192 mature \u2192 declining \u2192 archived \uff0c\u81ea\u52a8\u6dd8\u6c70\u53d8\u5dee\u7684\u4e13\u5bb6
\n

\u4e13\u5bb6\u53ef\u4ee5\u5bfc\u51fa\u6210 .kwx \u6587\u4ef6\uff0ckwcode expert install URL \u4e00\u884c\u5b89\u88c5\u522b\u4eba\u5206\u4eab\u7684\u4e13\u5bb6\u3002

\u601d\u8def\u4e94\uff1a\u6a21\u578b\u80fd\u529b\u81ea\u9002\u5e94

CC \u4e0d\u9700\u8981\u8003\u8651\u8fd9\u4e2a\uff0c\u56e0\u4e3a\u5b83\u53ea\u7528\u4e00\u4e2a\u6a21\u578b\u3002KWCode \u9700\u8981\u3002

\u81ea\u52a8\u68c0\u6d4b\u5f53\u524d\u6a21\u578b\u7684\u53c2\u6570\u91cf\uff0c\u7136\u540e\u5e94\u7528\u4e0d\u540c\u7b56\u7565\uff1a

\u5207\u6362\u6a21\u578b\uff0c\u7b56\u7565\u81ea\u52a8\u5207\u6362\u3002

\u4e09\u3001\u73b0\u5728\u505a\u4e86\u4ec0\u4e48

\u6838\u5fc3\u529f\u80fd\u8dd1\u901a\u4e86\u3002282/282 \u5355\u5143\u6d4b\u8bd5\u901a\u8fc7\uff0cE2E \u9a8c\u6536\u901a\u8fc7\u7387 87%\uff08 26/30 \uff0c4 \u4e2a\u5931\u8d25\u662f\u6a21\u578b\u80fd\u529b\u8fb9\u754c\uff0c\u4e0d\u662f\u6846\u67b6\u95ee\u9898\uff09\u3002

\u4ee3\u7801\u80fd\u529b

\n
• BM25 + AST \u8c03\u7528\u56fe\u4e24\u9636\u6bb5\u5b9a\u4f4d\uff0cG3 \u9690\u85cf\u4f9d\u8d56\u51c6\u786e\u7387 99.4%\uff08\u8bba\u6587\u9a8c\u8bc1\uff09
\n
• \u4e09\u9636\u6bb5\u91cd\u8bd5 + Reflection \uff0c\u4e0d\u91cd\u590d\u540c\u6837\u7684\u9519
\n
• \u4e13\u5bb6\u98de\u8f6e\u4e09\u9053\u95e8\uff08\u8f68\u8ff9 \u2192 \u6a21\u5f0f \u2192 AB \u6d4b\u8bd5 \u2192 \u6295\u4ea7\uff09
\n
• 15 \u4e2a\u9884\u7f6e\u4e13\u5bb6\uff08\u901a\u7528 + SpringBoot / MyBatis / FastAPI / UniApp \u7b49\uff09
\n
• Office \u6587\u6863\u751f\u6210\uff08 Excel / PPT / Word \uff0c\u6709\u6837\u5f0f\u4e0d\u662f\u767d\u5e95\uff09
\n

\u5de5\u7a0b\u80fd\u529b

\n
• KWCODE.md \u9879\u76ee\u89c4\u5219\u6587\u4ef6\uff0c\u6309\u4efb\u52a1\u7c7b\u578b\u5206\u6bb5\u6ce8\u5165\uff0c\u6c38\u8fdc\u4e0d\u5fd8
\n
• /plan \u8ba1\u5212\u6a21\u5f0f + \u98ce\u9669\u8bc4\u4f30\uff08 High/Medium/Low \uff0c\u57fa\u4e8e\u5386\u53f2\u5931\u8d25\u8bb0\u5f55\uff09
\n
• Checkpoint \u6587\u4ef6\u5feb\u7167\uff0c\u5931\u8d25\u4e00\u952e\u8fd8\u539f
\n
• \u975e\u4ee3\u7801\u6587\u4ef6\u8bfb\u53d6\uff08 PDF / Word / Markdown \uff0cBM25 \u6bb5\u843d\u5339\u914d\u6ce8\u5165\uff09
\n
• \u641c\u7d22\u589e\u5f3a\uff08 SearXNG \u81ea\u90e8\u7f72 + DDG fallback \uff0c\u56db\u7ea7\u5185\u5bb9\u63d0\u53d6\uff09
\n

\u4f53\u9a8c

\n
• Windows cmd/PowerShell \u539f\u751f\u652f\u6301\uff0c\u4e0d\u9700\u8981 WSL2
\n
• \u9996\u6b21\u5f15\u5bfc\uff08 API \u914d\u7f6e + \u8fde\u901a\u6027\u9a8c\u8bc1\uff09
\n
• \u6267\u884c\u8fc7\u7a0b\u53ea\u663e\u793a spinner \uff0c\u5b8c\u6210\u540e\u8f93\u51fa\u7528\u6237\u53ef\u8bfb\u7684\u7ed3\u679c\u6458\u8981
\n
• \u652f\u6301\u4efb\u4f55 OpenAI \u517c\u5bb9 API \uff08\u672c\u5730 Ollama / DeepSeek / \u7845\u57fa\u6d41\u52a8\u7b49\uff09
\n

\u56db\u3001\u8fd8\u5dee\u4ec0\u4e48

\u8bf4\u5b9e\u8bdd\uff0c\u6709\u4e9b\u5730\u65b9\u8fd8\u633a\u7c97\u7cd9\u7684\uff1a

\n
• AST \u8c03\u7528\u56fe\u76ee\u524d\u53ea\u5b8c\u6574\u652f\u6301 Python \uff0c\u5176\u4ed6\u8bed\u8a00\u8c03\u7528\u56fe\u51c6\u786e\u7387\u8fd8\u6ca1\u6709\u5145\u5206\u9a8c\u8bc1
\n
• \u4e13\u5bb6\u98de\u8f6e\u7684 Gate 2 \u56de\u6d4b\u903b\u8f91\u504f\u7b80\u5355\uff0c\u8fd8\u4e0d\u591f\u4e25\u683c
\n
• Windows \u4e0a\u7684\u5404\u79cd\u8fb9\u754c\u60c5\u51b5\uff08 AMD \u663e\u5361\u3001\u90e8\u5206 Ollama \u7248\u672c\u517c\u5bb9\u6027\u3001\u4e2d\u6587\u8def\u5f84\uff09\u6ca1\u6709\u5145\u5206\u6d4b\u8bd5
\n
• \u9489\u9489/\u98de\u4e66 webhook \u6ca1\u505a\uff0c\u624b\u673a\u53d1\u6d88\u606f\u89e6\u53d1 agent \u8fd9\u4e2a\u573a\u666f\u8bbe\u8ba1\u4e86\u4f46\u6ca1\u5b9e\u73b0
\n
• \u6ca1\u6709 IDE \u63d2\u4ef6\uff0c\u76ee\u524d\u53ea\u6709 CLI
\n
• Prompt Optimizer \uff08\u7528 Opus API \u81ea\u52a8\u8fed\u4ee3\u4f18\u5316\u4e13\u5bb6 prompt \uff09\u53ea\u505a\u4e86\u6846\u67b6\uff0c\u6ca1\u6709\u8dd1\u8d77\u6765
\n

\u4e94\u3001\u4e3a\u4ec0\u4e48\u60f3\u8ba9\u66f4\u591a\u4eba\u4e00\u8d77\u505a

\u6211\u4e00\u4e2a\u4eba\u505a\u8fd9\u4e2a\u5de5\u5177\u6709\u660e\u663e\u7684\u4e0a\u9650\uff0c\u4e0d\u662f\u6280\u672f\u4e0a\u7684\u4e0a\u9650\uff0c\u662f\u89c6\u91ce\u4e0a\u7684\u4e0a\u9650\u3002

\u6211\u81ea\u5df1\u4e3b\u8981\u7528 Python \u548c FastAPI \uff0c\u6240\u4ee5\u8fd9\u65b9\u9762\u60f3\u5f97\u7ec6\u3002\u4f46\u6211\u4e0d\u77e5\u9053\u6bcf\u5929\u5199 Spring Boot \u7684\u4eba\u6700\u75db\u7684\u70b9\u5728\u54ea\uff0c\u4e0d\u77e5\u9053\u641e Rust \u7684\u4eba\u5728\u672c\u5730\u6a21\u578b\u4e0a\u9047\u5230\u4ec0\u4e48\u95ee\u9898\uff0c\u4e0d\u77e5\u9053\u505a\u5c0f\u7a0b\u5e8f\u7684\u4eba\u9700\u8981\u4ec0\u4e48\u3002

\u66f4\u91cd\u8981\u7684\u662f\uff0c\u8fd9\u4ef6\u4e8b\u4e0d\u5e94\u8be5\u53ea\u662f\u4e00\u4e2a\u4eba\u7684\u5de5\u5177\uff0c\u5e94\u8be5\u662f\u4e2d\u56fd\u5f00\u53d1\u8005\u793e\u533a\u7684\u5de5\u5177\u3002

CC \u662f Anthropic \u7684\uff0cCursor \u662f\u7f8e\u56fd\u516c\u53f8\u7684\uff0cHermes \u662f\u5916\u56fd\u793e\u533a\u505a\u7684\u3002\u6211\u4eec\u7528\u7684\u5de5\u5177\uff0c\u6211\u4eec\u7684\u4f7f\u7528\u4e60\u60ef\u3001\u6280\u672f\u6808\u504f\u597d\u3001\u672c\u5730\u5316\u9700\u6c42\uff0c\u4ece\u6765\u90fd\u662f\u522b\u4eba\u987a\u624b\u52a0\u8fdb\u53bb\u7684\u529f\u80fd\uff0c\u4e0d\u662f\u7b2c\u4e00\u4f18\u5148\u7ea7\u3002

\u6211\u60f3\u505a\u7684\u662f\u53cd\u8fc7\u6765\u2014\u2014\u628a\u4e2d\u56fd\u5f00\u53d1\u8005\u7684\u9700\u6c42\u653e\u5728\u7b2c\u4e00\u4f4d\uff0c\u628a\u672c\u5730\u5f00\u6e90\u6a21\u578b\u7684\u9002\u914d\u653e\u5728\u7b2c\u4e00\u4f4d\uff0c\u7136\u540e\u628a\u8fd9\u4e2a\u5de5\u5177\u505a\u5230\u80fd\u548c\u5927\u5382\u4ea7\u54c1\u63b0\u624b\u8155\u3002

\u8fd9\u4ef6\u4e8b\u4e00\u4e2a\u4eba\u505a\u4e0d\u5230\uff0c\u4f46\u5f00\u6e90\u793e\u533a\u53ef\u4ee5\u3002

Linux \u6253\u8d25\u4e86 Unix \uff0c\u4e0d\u662f\u56e0\u4e3a\u67d0\u4e00\u4e2a\u5929\u624d\uff0c\u800c\u662f\u5168\u7403\u5f00\u53d1\u8005\u5171\u540c\u7ef4\u62a4\u4e86\u51e0\u5341\u5e74\u3002VSCode \u80fd\u8d85\u8fc7\u90a3\u4e48\u591a\u5546\u4e1a IDE \uff0c\u4e5f\u662f\u56e0\u4e3a\u80cc\u540e\u6709\u5e9e\u5927\u7684\u63d2\u4ef6\u548c\u8d21\u732e\u751f\u6001\u3002

KWCode \u4e0d\u9700\u8981\u4f60\u6709\u591a\u9ad8\u7684\u6c34\u5e73\uff0c\u53ea\u9700\u8981\u4f60\u5728\u7528\u672c\u5730\u6a21\u578b\u505a\u5f00\u53d1\uff0c\u7136\u540e\u628a\u4f60\u9047\u5230\u7684\u95ee\u9898\u3001\u4f60\u7684\u89e3\u6cd5\u3001\u4f60\u7684\u6539\u8fdb\u8d21\u732e\u8fdb\u6765\u3002\u591a\u4e00\u4e2a\u4eba\uff0c\u5c31\u591a\u4e00\u4e2a\u4f7f\u7528\u573a\u666f\u88ab\u7167\u987e\u5230\uff0c\u591a\u4e00\u4e2a\u5751\u88ab\u586b\u6389\u3002

\n

Fork \u8fd9\u4e2a\u9879\u76ee\uff0c\u6539\u8fdb\u4f60\u6700\u75db\u7684\u90a3\u4e2a\u70b9\uff0c\u63d0 PR \uff0c\u6211\u4eec\u4e92\u76f8\u501f\u529b\uff0c\u4e00\u8d77\u628a\u5b83\u505a\u597d\u3002

\n

\u95ed\u6e90\u5927\u5382\u6709\u94b1\u6709\u4eba\u6709\u7b97\u529b\uff0c\u6211\u4eec\u6709\u4ec0\u4e48\uff1f\u6211\u4eec\u6709\u771f\u5b9e\u7684\u4f7f\u7528\u573a\u666f\uff0c\u6709\u5bf9\u672c\u5730\u90e8\u7f72\u7684\u771f\u5b9e\u9700\u6c42\uff0c\u6709\u4e0d\u4f9d\u8d56\u6d77\u5916\u670d\u52a1\u7684\u52a8\u529b\u3002\u8fd9\u5df2\u7ecf\u8db3\u591f\u4e86\u3002

\u516d\u3001\u600e\u4e48\u53c2\u4e0e

\u9879\u76ee\u5730\u5740\uff1agithub.com/val1813/kwcode

# Fork \u9879\u76ee\uff0c\u514b\u9686\u5230\u672c\u5730\ngit clone https://github.com/your-fork/kwcode.git\ncd kwcode\n\n# \u5b89\u88c5\u5f00\u53d1\u7248\npip install -e \".[dev]\"\n\n# \u8fd0\u884c\u6d4b\u8bd5\u786e\u8ba4\u73af\u5883\u6b63\u5e38\npython -m pytest kaiwu/tests/ -v\n\n# \u627e\u4e00\u4e2a\u4f60\u6700\u60f3\u6539\u7684\u5730\u65b9\uff0c\u5f00\u59cb\u52a8\u624b\ngit checkout -b fix/your-improvement\n

\u6539\u4ec0\u4e48\u90fd\u53ef\u4ee5\uff1a

\n
• \u4f60\u6bcf\u5929\u7528 Go \u5199\u4ee3\u7801\uff0c\u89c9\u5f97 Go \u7684 AST \u8c03\u7528\u56fe\u652f\u6301\u4e0d\u591f\u597d\uff0c\u5c31\u53bb\u6539\u5b83
\n
• \u4f60\u5728\u7528 Qwen3 \u53d1\u73b0\u67d0\u4e2a\u573a\u666f\u603b\u662f\u89e6\u53d1\u65e0\u9650\u5faa\u73af\uff0c\u5c31\u53bb\u4fee\u5b83
\n
• \u4f60\u6709\u66f4\u597d\u7684 context \u538b\u7f29\u7b97\u6cd5\uff0c\u5c31\u66ff\u6362\u6389\u73b0\u6709\u7684
\n
• \u4f60\u53d1\u73b0 README \u5199\u9519\u4e86\uff0c\u6539\u4e00\u4e2a\u5b57\u4e5f\u7b97
\n

Issues \u91cc\u5217\u4e86\u5df2\u77e5\u95ee\u9898\u548c\u89c4\u5212\u4e2d\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u4ece\u90a3\u91cc\u627e\u65b9\u5411\u3002Discussions \u91cc\u53ef\u4ee5\u804a\u6280\u672f\u601d\u8def\uff0c\u804a\u67d0\u4e2a\u65b9\u5411\u503c\u4e0d\u503c\u5f97\u505a\u3002

\u6ca1\u6709\u4ec0\u4e48\u8d21\u732e\u592a\u5c0f\u3002

\u4e03\u3001\u6700\u540e\u8bf4\u4e00\u53e5

\u6211\u4e0d\u77e5\u9053 KWCode \u80fd\u4e0d\u80fd\u771f\u7684\u8d85\u8d8a CC \u6216\u8005 Hermes \u3002

\u4f46\u6211\u77e5\u9053\uff0c\u5982\u679c\u4e2d\u56fd\u5f00\u53d1\u8005\u4e00\u76f4\u7528\u522b\u4eba\u505a\u7684\u5de5\u5177\uff0c\u4e00\u76f4\u628a\u81ea\u5df1\u7684\u9700\u6c42\u5f53\u4f5c\"\u6b21\u8981\u529f\u80fd\"\u7b49\u522b\u4eba\u6765\u5b9e\u73b0\uff0c\u8fd9\u4ef6\u4e8b\u6c38\u8fdc\u4e0d\u4f1a\u6709\u7b54\u6848\u3002

\u6709\u4e9b\u4e1c\u897f\uff0c\u53ea\u6709\u81ea\u5df1\u505a\u624d\u77e5\u9053\u80fd\u4e0d\u80fd\u505a\u5230\u3002

\u9879\u76ee\u662f MIT \u5f00\u6e90\u7684\uff0c\u4f60\u8d21\u732e\u7684\u4ee3\u7801\u6c38\u8fdc\u662f\u4f60\u7684\u3002\u5982\u679c KWCode \u6700\u540e\u505a\u6210\u4e86\uff0c\u8fd9\u4ef6\u4e8b\u662f\u6240\u6709\u53c2\u4e0e\u7684\u4eba\u4e00\u8d77\u505a\u6210\u7684\u3002

\u9879\u76ee\u5730\u5740\uff1agithub.com/val1813/kwcode

\u5929\u5de5\u5f00\u7269 \u00b7 KWCode \u00b7 \u4e2d\u56fd\u5f00\u53d1\u8005\u81ea\u5df1\u7684\u672c\u5730 Coding Agent

https://github.com/antirez/llama.cpp-deepseek-v4-flash

\u540c\u5fd7\u4eec\uff0c\u662f\u65f6\u5019\u6253\u9020\u4e00\u628a\u771f\u6b63\u5c5e\u4e8e\u5f00\u6e90\u793e\u533a\u7684 Coding Agent \u4e86\uff01

\u73b0\u72b6\uff1a\u6211\u4eec\u88ab\u5927\u5382\u201c\u5582\u5c4e\u201d\uff0c\u8fd8\u8981\u81ea\u5df1\u64e6\u5c41\u80a1

\u6211\u5199\u8fc7 kaiwu\uff08\u4e00\u4e2a\u672c\u5730\u6a21\u578b\u90e8\u7f72\u5668\uff09\uff0c\u7ed3\u679c\u53d1\u73b0\u2014\u2014\u7528 Local LLM \u505a\u5f00\u53d1\u7684\u670b\u53cb\uff0c\u591a\u5f97\u8d85\u51fa\u60f3\u8c61\u3002

\u5927\u5bb6\u4e0d\u65ad\u63d0\u9700\u6c42\uff1a\u4e0a\u4e0b\u6587\u538b\u7f29\u3001Think \u6a21\u5f0f\u5f00\u5173\u3001\u8054\u7f51\u641c\u7d22\u3001\u5de5\u5177\u8c03\u7528\u2026\u2026

\u53ef\u8fd9\u4e9b\u6839\u672c\u4e0d\u662f Ollama \u6216 LM Studio \u7684\u4e8b\uff01
\n\u5b83\u4eec\u53ea\u8d1f\u8d23\u628a\u6a21\u578b\u8dd1\u8d77\u6765\uff0c\u81f3\u4e8e\u201c\u600e\u4e48\u8ba9\u6a21\u578b\u53d8\u806a\u660e\u201d\u2014\u2014\u90a3\u662f Cursor \u3001Codex \u3001Hermes \u7684\u4e8b\u3002

\u4f46\u5927\u5382\u4eec\u5728\u5e72\u561b\uff1f

\n
• Cursor \u56f4\u7740\u81ea\u5bb6\u6a21\u578b\u8f6c
\n
• Codex \u9760\u5356 token \u8d5a\u94b1
\n
• Hermes \u867d\u5f00\u6e90\uff0c\u5374\u4e0d\u652f\u6301 Windows \u539f\u751f\uff08\u903c\u4f60\u88c5 WSL2 \uff0c\u529d\u9000\u4e00\u534a\u4eba\uff09
\n

\u5b83\u4eec\u4e0d\u4f1a\u82b1\u7cbe\u529b\u4f18\u5316\u672c\u5730\u5c0f\u6a21\u578b\u3002
\n\u56e0\u4e3a\u672c\u5730\u8dd1\u5f97\u723d\uff0c\u8c01\u8fd8\u4e70\u5b83\u4eec\u7684 API \uff1f

\u66f4\u522b\u63d0\u90a3\u5835\u5899\u4e86\u2014\u2014
\n\u56fd\u5185\u7f51\u7edc\u65f6\u65ad\u65f6\u7eed\uff0c\u4efb\u52a1\u8dd1\u5230\u4e00\u534a\u65ad\u8fde\uff0c\u4f53\u9a8c\u50cf\u5403\u82cd\u8747\u3002
\n\u60f3\u7528 Claude \uff1f\u5f97\u627e\u4e2d\u8f6c\u3001\u4e70\u6ce8\u6c34\u8d26\u53f7\u3001\u88ab\u6536\u5272\u3001\u8fd8\u88ab\u9119\u89c6\u3002

\u4f46\u5899\u80fd\u62e6\u4f4f\u8d44\u672c\uff0c\u62e6\u4e0d\u4f4f\u4eba\u6c11\u3002
\n\u56fd\u9645\u5171\u4ea7\u4e3b\u4e49\u7cbe\u795e\uff0c\u5c31\u4f53\u73b0\u5728\u4e00\u884c\u884c\u5f00\u6e90\u4ee3\u7801\u91cc\u3002

\u75db\u70b9\uff1a\u6211\u4eec\u6bcf\u5929\u90fd\u88ab\u8fd9\u516d\u628a\u5200\u6345

1. \u4e0a\u4e0b\u6587\u592a\u77ed\uff0c\u538b\u7f29\u5c31\u201c\u5931\u5fc6\u201d

\n
• Opus \u7684 1M \u7a97\u53e3\u7528\u8fc7\u5c31\u56de\u4e0d\u53bb\u4e86\uff0c\u6c38\u8fdc\u4e0d\u7528 compact \u3002
\n
• \u5c0f\u6a21\u578b\u5728 8G/16G \u663e\u5b58\u4e0a\u53ea\u80fd\u8dd1\u5341\u51e0 K \uff0c\u7a0d\u5fae\u5927\u70b9\u7684\u4efb\u52a1\u76f4\u63a5\u70b8\u3002
\n
• Hermes \u538b\u7f29\u51e0\u6b21\u5c31\u53d8\u50bb\u5b50\u2014\u2014\u5fd8\u4e86\u81ea\u5df1\u4e24\u8f6e\u524d\u8bf4\u8fc7\u4ec0\u4e48\u3002
\n

2. \u7f51\u7edc\u50cf\u4e00\u5835\u5899\uff0c\u5899\u5185\u5916\u90fd\u662f\u5c4e

\n
• CC / Cursor \u8981\u7a33\u5b9a\u8fde\u6d77\u5916\uff0c\u56fd\u5185\u65ad\u5230\u4f60\u6000\u7591\u4eba\u751f\u3002
\n
• Hermes \u975e\u8981 WSL2 \uff0cWindows \u539f\u751f\u7528\u6237\u5403\u95ed\u95e8\u7fb9\u3002
\n
• Web search \u8981\u4e48\u6ca1\u6709\uff0c\u8981\u4e48\u63a5\u5783\u573e\u5546\u5bb6 API \uff0c\u641c\u51fa\u6765\u7684\u5168\u662f SEO \u6c61\u67d3\u7684\u7ed3\u679c\u3002
\n

3. \u672c\u5730\u6a21\u578b\u8fde\u5de5\u5177\u90fd\u4e0d\u4f1a\u7528

\n
• \u7528\u6237\u53cd\u9988\uff1a\u63a5 CC \u6216 Codex \uff0c\u6a21\u578b\u7b28\u5f97\u4e0d\u4f1a\u8c03 tool \u3002
\n
• 8B \u6a21\u578b\u5e72\u5b8c\u6d3b\u4e22\u7ed9\u4f60\u4e00\u4e32\u4ee3\u7801\uff1a\u201c\u81ea\u5df1\u590d\u5236\u53bb\u8fd0\u884c\u201d\u3002
\n
• \u6211\u662f\u7528 CC \u4e60\u60ef\u7684\u4eba\uff0c\u8fd9\u4f53\u9a8c\u7b49\u4e8e\u8ba9\u6211\u56de\u53bb\u7528\u8bb0\u4e8b\u672c\u5199\u4ee3\u7801\u3002
\n

4. \u5c0f\u6a21\u578b\u672c\u8eab\u80fd\u529b\u5c31\u90a3\u6837\uff0c\u4f46 API \u8fd8\u4e0d\u8ba9\u7528

\n
• 8B/14B \u5931\u8bef\u7387\u9ad8\u3001\u7a97\u53e3\u5c0f\u3001\u6ca1\u8054\u7f51\u3001\u9047\u65b0\u95ee\u9898\u5c31\u6b7b\u673a\u3002
\n
• \u4f60\u4e0d\u53ef\u80fd\u6307\u671b\u5c0f\u5b66\u751f\u89e3\u5fae\u79ef\u5206\u2014\u2014\u8fd9\u662f\u7269\u7406\u89c4\u5f8b\u3002
\n
• \u53ef A \u5382\u4e0d\u7ed9\u56fd\u4eba\u6ce8\u518c\uff0c\u82b1\u94b1\u4e70\u6ce8\u6c34\u4e2d\u8f6c\uff0c\u50cf\u4ea4\u4fdd\u62a4\u8d39\u3002
  \n\u51ed\u4ec0\u4e48\uff1f
\n

5. \u660e\u660e\u672c\u5730\u8fd0\u884c\uff0c\u5374\u662f\u4e2a\u6ca1\u8bb0\u5fc6\u7684\u94a2\u94c1\u5e9f\u6599

\n
• \u5728\u4e91\u7aef\u4e0d\u8bb0\u4e8b\uff0c\u6211\u8ba4\u4e86\u2014\u2014\u6bd5\u7adf\u6ca1\u82b1\u94b1\u4e70\u5b58\u50a8\u3002
\n
• \u6211\u90fd\u672c\u5730\u8dd1\u4e86\uff0c\u786c\u76d8 1T \u8fd8\u80fd\u52a0\uff0c\u4f60\u5374\u53ea\u7ed9\u6211\u4e00\u4e2a markdown \u6587\u4ef6\u5f53\u201c\u8bb0\u5fc6\u201d\uff1f
  \n\u8fd9\u5c31\u50cf\u4f60\u4e70\u4e86\u4e00\u53f0\u8d85\u7ea7\u8ba1\u7b97\u673a\uff0c\u7ed3\u679c\u5b83\u6bcf\u6b21\u91cd\u542f\u90fd\u5fd8\u5149\u3002
\n

6. \u591a\u6a21\u6001\uff1f\u89c6\u9891\u56fe\u7247\uff1f\u4e0d\u5b58\u5728\u7684

\n
• \u6a21\u578b\u672c\u8eab\u5f31\uff0c\u4f46\u66f4\u5927\u7684\u95ee\u9898\u662f\u2014\u2014\u6ca1\u6709\u4e13\u95e8\u4f18\u5316\u3002
\n
• \u95ed\u6e90 API \u4e5f\u4e00\u6837\u70c2\uff0c\u4f46\u4eba\u5bb6\u6536\u94b1\u4e0d\u529e\u4e8b\u3002
\n

\n

\u90e8\u7f72\u96be\u3001\u901f\u5ea6\u6162\u3001\u786c\u4ef6\u8981\u6c42\u9ad8\u8fd9\u4e9b\uff0c\u6211\u4e4b\u524d\u7684 kaiwu + LM + Turbo \u80fd\u89e3\u51b3\u3002
\n\u4eca\u5929\u6211\u4eec\u4e0d\u804a\u8fd9\u4e9b\uff0c\u5c31\u804a\u600e\u4e48\u8ba9 8B \u6a21\u578b\u8dd1\u51fa Opus \u7684\u4f53\u9a8c\u3002

\n

\u6211\u7684\u9769\u547d\u601d\u8def\uff1a\u4e0d\u7528 CC \u7684\u4f9d\u8d56\u5f3a LLM \u4e32\u884c\uff0c\u6539\u7528 LLM \u505a Gate + \u786e\u5b9a\u6027\u4e13\u5bb6\u7684 MOE \u67b6\u6784

\u6838\u5fc3\u7406\u5ff5\uff1a
\nLLM \u53ea\u8d1f\u8d23\u5f53\u201c\u63a5\u7ebf\u5458\u201d\uff0c\u771f\u6b63\u5e72\u6d3b\u7684\u662f\u786e\u5b9a\u6027\u4e13\u5bb6\u2014\u2014
\n\u4e0d\u4f9d\u8d56\u6a21\u578b\u201c\u5565\u90fd\u61c2\u201d\uff0c\u800c\u662f\u8ba9\u6a21\u578b\u53ea\u505a\u4e00\u4ef6\u6781\u5c0f\u3001\u6781\u660e\u786e\u7684\u4e8b\u3002

\u539f\u7406\u4e00\uff1aAgentless \u6d41\u6c34\u7ebf\uff08 ICSE 2025 \u6700\u4f73\u8bc1\u660e\uff09

\n

\u4e0d\u8ba9 LLM \u778e\u51b3\u7b56\uff0c\u7528\u56fa\u5b9a\u6d41\u7a0b \u2192 SWE-bench \u4e0a\u901a\u8fc7\u7387\u6700\u9ad8\uff0c\u6210\u672c\u6700\u4f4e\u3002

\n

\u6211\u8bbe\u8ba1\u7684\u6d41\u7a0b\uff08 KWCode \uff09\uff1a\n\u7528\u6237\u8f93\u5165\n\u2514\u2500\u25ba Gate \uff08\u6beb\u79d2\u7ea7\u5206\u7c7b\uff09\n\u2514\u2500\u25ba Locator \uff08\u7cbe\u786e\u5b9a\u4f4d\u6587\u4ef6/\u51fd\u6570\uff09\n\u2514\u2500\u25ba Generator \uff08\u53ea\u6539\u8be5\u6539\u7684\u5730\u65b9\uff09\n\u2514\u2500\u25ba Verifier \uff08\u8bed\u6cd5 + pytest \uff0c\u5931\u8d25\u91cd\u8bd5\uff09

\u5c0f\u6a21\u578b\u53ea\u9700\u8981\u5728\u5c0f\u7a97\u53e3\u91cc\u505a\u4e00\u4ef6\u4e8b\u2014\u2014\u5931\u8bef\u7387\u66b4\u8dcc\uff0c\u9519\u8bef\u53ef\u88ab\u5f53\u573a\u6293\u4f4f\u3002

\u539f\u7406\u4e8c\uff1aBM25 + AST \u8c03\u7528\u56fe\u5b9a\u4f4d\uff08\u4e13\u6cbb\u201c\u9690\u85cf\u4f9d\u8d56\u201d\uff09

\n

\u8bba\u6587 CodeCompass \u53d1\u73b0\u4e00\u4e2a\u53cd\u5e38\u8bc6\u4e8b\u5b9e\uff1a
\ncontext \u8d8a\u5927\u7684\u6a21\u578b\uff0c\u53cd\u800c\u8d8a\u5bb9\u6613\u6f0f\u6389\u67b6\u6784\u4e0a\u5173\u952e\u4f46\u8bed\u4e49\u4e0a\u9065\u8fdc\u7684\u6587\u4ef6\u2014\u2014\u8fd9\u53eb\u201c\u5bfc\u822a\u6096\u8bba\u201d\u3002

\n

\u5b9e\u9a8c\u6570\u636e\uff08 FastAPI \u771f\u5b9e\u9879\u76ee\uff09\uff1a

\u6211\u4eec\u7684\u5b9e\u73b0\uff1a

\n
1. BM25 \u79d2\u7ea7\u53ec\u56de top-20
\n
2. AST \u8c03\u7528\u56fe\u5c55\u5f00 2 \u8df3\uff08\u5411\u4e0a\u627e\u8c03\u7528\u8005\uff0c\u5411\u4e0b\u627e\u88ab\u8c03\u7528\u8005\uff09
\n
3. \u53d1\u73b0\u90a3\u4e9b\u201c\u540d\u5b57\u548c bug \u65e0\u5173\u4f46\u5b9e\u9645\u662f\u6839\u56e0\u201d\u7684\u9b54\u9b3c\u51fd\u6570
\n

\u6280\u672f\u6808\uff1atree-sitter + rank-bm25 + SQLite
\n\u96f6\u4f9d\u8d56\u3001\u96f6 embedding \u3001\u96f6 Docker\u3002
\n\u652f\u6301\uff1aPython \u00b7 JS \u00b7 TS \u00b7 Java \u00b7 Go \u00b7 Rust

\u539f\u7406\u4e09\uff1a\u4e13\u5bb6\u98de\u8f6e\u2014\u2014\u4f60\u7684\u5de5\u5177\u8d8a\u7528\u8d8a\u5f3a\uff0c\u5927\u5382\u6c38\u8fdc\u8ffd\u4e0d\u4e0a

\n

\u6765\u81ea EE-MCP (NeurIPS 2025) + WLBS \u884c\u4e3a\u56fe\u3002

\n

\u9884\u7f6e 12 \u4e2a\u4e13\u5bb6\uff08\u901a\u7528 7 \u4e2a + \u4e2d\u56fd\u573a\u666f 5 \u4e2a\uff09\u3002
\n\u7136\u540e\u5f00\u59cb\u98de\u8f6e\uff1a

\n
• \u540c\u7c7b\u4efb\u52a1\u6210\u529f \u22655 \u6b21 \u2192 \u81ea\u52a8\u751f\u6210\u4e13\u5c5e\u4e13\u5bb6
\n
• \u65b0\u4e13\u5bb6\u7ecf\u8fc7\u56de\u6d4b + AB \u6d4b\u8bd5\u4e09\u9053\u9a8c\u8bc1\u95e8 \u2192 \u6295\u4ea7
\n
• \u4e0b\u6b21\u540c\u7c7b\u4efb\u52a1\uff0cGate \u76f4\u63a5\u8def\u7531 \u2192 \u66f4\u5feb\u3001\u66f4\u51c6
\n

3 \u4e2a\u6708\u540e\uff0c\u4f60\u7684\u4e13\u5c5e\u4e13\u5bb6\u6c60\u2014\u2014
\nCursor \u548c Hermes \u6c38\u8fdc\u8ffd\u4e0d\u4e0a\uff0c\u56e0\u4e3a\u5b83\u4eec\u65e0\u72b6\u6001\uff0c\u800c\u4f60\u6709\u6c38\u4e45\u8bb0\u5fc6\u3002

\u4e13\u5bb6\u53ef\u4ee5\u5bfc\u51fa\u3001\u5206\u4eab\u5f62\u6210\u6211\u4eec\u7684\u793e\u533a\u6570\u636e\u8d44\u6e90\u3002

\u539f\u7406\u56db\uff1a\u5931\u8d25\u81ea\u52a8\u641c\u7d22\u2014\u2014\u5899\u5185\u7528 Bing \uff0c\u5899\u5916\u7528 DDG

Verifier \u8fde\u6302 2 \u6b21 \u2192 \u81ea\u52a8\u89e6\u53d1\u641c\u7d22\uff1a

\n
• \u56fd\u5185\u7f51\u7edc \u2192 Bing \u4e2d\u6587\u7248\uff08 cn.bing.com \u76f4\u8fde\uff09
\n
• \u6b63\u5e38\u7f51\u7edc \u2192 DuckDuckGo
\n
• \u63d0\u53d6\u6b63\u6587 \u2192 \u538b\u7f29 \u2192 \u6ce8\u5165 context
\n

\u96f6 API key \uff0c\u96f6\u914d\u7f6e\uff0c\u88c5\u5b8c\u5373\u7528\u3002
\n\u60f3\u66f4\u9690\u79c1\uff1f\u81ea\u5df1\u90e8\u7f72 SearXNG \uff0c\u6570\u636e\u4e0d\u51fa\u7f51\u3002

\u529f\u80fd\u4e00\u89c8\uff08\u4e0d\u662f\u4e3a\u4e86\u70ab\u6280\uff0c\u662f\u4e3a\u4e86\u89e3\u51b3\u4f60\u7684\u6bcf\u4e00\u5929\u7684\u75db\uff09

\u6211\u4eec\u548c\u201c\u5b83\u4eec\u201d\u7684\u4e0d\u4e00\u6837

\u540c\u5fd7\u4eec\uff0c\u8fd9\u4e0d\u662f\u4e00\u4e2a\u4eba\u7684\u6218\u6597

\u6211\u53ea\u6709\u4e00\u53f0 5060 8G \u663e\u5b58 16G \u5185\u5b58\u5c0f\u7834\u7535\u8111\uff0c\u786c\u76d8\u8fd8\u65f6\u597d\u65f6\u574f\uff0c\u82b1\u94b1\u4e70 api \u4e00\u4e2a\u6708\u4e09\u56db\u5343\u3002\n\u6211\u60f3\u8981\u4eba\u4eba\u4e3a\u9f99\u65f6\u4ee3\uff0c\u800c\u4e0d\u662f api \u72ec\u5927\u65f6\u4ee3\u3002\n\u6240\u4ee5\u6211\u60f3\u6253\u9020\n\u4e00\u4e2a\u771f\u6b63\u5c5e\u4e8e\u5f00\u6e90\u793e\u533a\u3001\u4e0d\u4f9d\u8d56\u5927\u5382 API \u3001\u4e0d\u88ab\u5899\u3001\u8ba9 8B \u6a21\u578b\u4e5f\u80fd\u5e72\u7ffb Opus \u7684 Coding Agent \u3002

\u6211\u4eec\u6709\u8bba\u6587\u652f\u6491\uff0c\u6709\u539f\u578b\u4ee3\u7801\uff0c\u6709\u6ee1\u8154\u6012\u706b\u548c\u70ed\u8840\u3002
\n\u73b0\u5728\u8fd8\u7f3a\u4f60\u2014\u2014
\n\u7f3a\u6bcf\u4e00\u4e2a\u53d7\u591f\u4e86\u88ab\u6536\u5272\u3001\u88ab\u6b67\u89c6\u3001\u88ab\u7f51\u7edc\u66b4\u529b\u7684\u5f00\u53d1\u8005\u3002

GitHub \u4ed3\u5e93\u8fd1\u671f\u5f00\u653e\uff0c\u4ee3\u7801\u5b8c\u5168\u5f00\u6e90\u3002
\n\u4f60\u53ef\u4ee5\uff1a

\n
• \u8d21\u732e\u4ee3\u7801\uff08 Rust/Python/TS \u90fd\u884c\uff09
\n
• \u5206\u4eab\u4f60\u7684\u4e13\u5c5e\u4e13\u5bb6\uff08.kwx \u6587\u4ef6\uff09
\n
• \u63d0 bug \u3001\u5199\u6587\u6863\u3001\u5ba3\u4f20\u51fa\u53bb
\n
• \u6216\u8005\u53ea\u662f\u53bb\u70b9\u4e00\u4e2a \u2b50\uff0c\u8ba9\u66f4\u591a\u4eba\u770b\u89c1
\n

\u56fd\u9645\u5171\u4ea7\u4e3b\u4e49\u7cbe\u795e\uff0c\u4ece\u4e00\u884c\u5f00\u6e90\u4ee3\u7801\u5f00\u59cb\u3002
\n\u8ba9\u5927\u5382\u53bb\u5356 token \u5427\uff0c\u6211\u4eec\u6709\u81ea\u5df1\u7684\u5de5\u5177\u4e86\u3002

\u884c\u52a8\u53f7\u53ec

\ud83d\udc49 \u6709\u6ca1\u6709\u66f4\u597d\u7684\u601d\u8def\u548c\u8def\u5f84\uff0c\u4e0a\u8ff0\u53ea\u662f\u6211\u4e2a\u4eba\u7814\u7a76
\n\ud83d\udc49 \u540e\u7eed\u5728\u672c\u94fe\u63a5\u53d1\u5e03 github \uff0c\u6b22\u8fce fork \u7ee7\u7eed\u6df1\u6316

\u4e0d\u8981\u8ba9\u8d44\u672c\u5b9a\u4e49\u201c\u53ef\u80fd\u201d\u4e0e\u201c\u4e0d\u53ef\u80fd\u201d\u3002
\n\u6211\u4eec\u8bf4\u4e86\u7b97\u3002\n\u6216\u8bb8\u5f88\u5feb\uff0c8B \u6a21\u578b\u771f\u80fd\u8dd1\u8d62 OPUS \uff0c\u6240\u6709\u4eba\u90fd\u80fd\u62e5\u6709\u72ec\u5c5e\u4e8e\u81ea\u5df1\u7684\u667a\u80fd\u4f53

\u8981\u4e0d\u8981\u5148\u5efa\u4e2a\u7fa4\uff0c\u7b97\u4e86 \u6211\u793e\u6050 \u4e0d\u4f1a\u7ef4\u62a4\uff0c\u6709\u4e8b\u54b1\u4eec\u8fd9\u4e2a\u94fe\u63a5\u804a\u628a

TPS Calculator \u00b7 GPU \u63a8\u7406\u901f\u5ea6\u8ba1\u7b97\u5668

\n

\u4e70\u4e0d\u8d77\u673a\u5b50\uff0c\u6240\u4ee5\u505a\u4e86\u8fd9\u4e2a\u3002

\n

\u5728\u7ebf\u5730\u5740\uff1atps.bunai.cc

\u7a81\u53d1\u5947\u60f3\u8d76\u7d27\u8bb0\u5f55\u4e0b\u6765\uff0c\u76f4\u63a5 vibe code \uff0c\u8bf4\u6572\u5c31\u5199

\u4e00\u4e2a vibe code \u51fa\u6765\u7684 GPU \u63a8\u7406\u6027\u80fd\u4f30\u7b97\u5de5\u5177\u3002

\u8d77\u56e0\u5f88\u7b80\u5355\u2014\u2014\u663e\u5361\u592a\u8d35\uff0c\u4e70\u4e0d\u8d77\uff0c\u60f3\u8dd1\u4e2a\u6a21\u578b\u53c8\u4e0d\u77e5\u9053\u81ea\u5df1\u7684\u914d\u7f6e\u591f\u4e0d\u591f\uff0c\n\u4e8e\u662f\u628a\u7f51\u4e0a\u6563\u843d\u7684\u53c2\u6570\u548c\u516c\u5f0f\u6c47\u603b\u4e86\u4e00\u4e0b\uff0c\u505a\u6210\u4e86\u8fd9\u4e2a\u8ba1\u7b97\u5668\u3002

\u8f93\u5165\u663e\u5361\u578b\u53f7\u3001\u6a21\u578b\u3001\u91cf\u5316\u65b9\u5f0f\u548c\u8fd0\u884c\u53c2\u6570\uff0c\u5feb\u901f\u4f30\u7b97\uff1a

\n
• \u663e\u5b58\u5360\u7528\u4e0e OOM \u98ce\u9669
\n
• Decode / Prefill token/s
\n
• TTFT / TPOT / \u603b\u65f6\u5ef6
\n
• \u5e26\u5bbd\u74f6\u9888\u8fd8\u662f\u7b97\u529b\u74f6\u9888
\n
• \u591a\u5361 TP \u901a\u4fe1\u6548\u7387
\n

\u9002\u5408\u5e72\u4ec0\u4e48

\u2705 \u5728\u4e70\u673a\u5b50 / \u79df\u5361\u4e4b\u524d\uff0c\u5148\u5927\u6982\u9884\u4f30\u4e00\u4e0b\u8dd1\u4e0d\u8dd1\u5f97\u8d77\u6765
\n\u2705 \u5b66\u4e60\u63a8\u7406\u6027\u80fd\u5efa\u6a21\uff0c\u7406\u89e3\u91cf\u5316\u3001KV Cache \u3001TP \u3001Roofline \u8fd9\u4e9b\u6982\u5ff5
\n\u2705 \u505a\u65b9\u6848\u521d\u7b5b\u548c\u53c2\u6570\u5bf9\u6bd4

\u274c \u4e0d\u9002\u5408\u76f4\u63a5\u66ff\u4ee3\u771f\u5b9e benchmark
\n\u274c \u4e0d\u9002\u5408\u628a\u4f30\u7b97\u503c\u5f53\u4f5c\u751f\u4ea7\u627f\u8bfa
\n\u274c Mac \u7535\u8111\u6ca1\u6709\u653e\u51fa\u6765\uff0c\u9a8c\u8bc1\u4e86\u4e00\u4e0b\u5dee\u8ddd\u6709\u70b9\u5927\uff0c\u5148\u653e\u4e00\u653e

\u53c2\u8003\u8d44\u6599

\n
• \u6a21\u578b\u53c2\u6570\u6765\u6e90\uff1aHuggingFace model cards \u53ca Ollama \u5b98\u65b9\u9875\u9762
\n
• MoE CPU Offload \u573a\u666f\u53c2\u8003\uff1aval1813/kaiwu
\n
• \u81ea\u5df1\u642d\u5efa\u6a21\u578bGemma4 26b
\n
• \u81ea\u5df1\u642d\u5efa\u6a21\u578bGemma4 31b
\n
• \u8fd8\u6709\u4e2a 4070ti \u5f97\u6570\u636e
\n

\u8fd9\u5957\u516c\u5f0f\u548c\u53c2\u6570\u662f\u6211\u81ea\u5df1\u6574\u7406\u6c47\u603b\u7684\uff0c\u6ca1\u6709\u5927\u91cf\u771f\u673a\u8dd1\u8fc7\u9a8c\u8bc1\u3002\n\u5982\u679c\u4f60\u624b\u4e0a\u6709\u771f\u5b9e\u7684\u6d4b\u8bd5\u6570\u636e\uff0c\u53d1\u73b0\u54ea\u91cc\u4f30\u7b97\u504f\u5dee\u5927\u3001\u516c\u5f0f\u6709\u95ee\u9898\uff0c\n\u6b22\u8fce\u5f00 Issue \u6216 PR \u6307\u51fa\u6765\uff0c\u5927\u5bb6\u4e00\u8d77\u5b66\u4e60\uff0c\u4e00\u8d77\u628a\u8fd9\u4e2a\u4e1c\u897f\u505a\u5f97\u66f4\u51c6\u3002

\u5e0c\u671b\u6709\u771f\u5b9e\u6570\u636e\u7684\u5927\u4f6c\u5e2e\u5fd9\u6307\u6b63\uff0c\u8c22\u8c22\uff01\ud83d\ude4f

\u6b22\u8fce\u6279\u8bc4\uff0c\u4e5f\u662f vibe coding \u7684\u4ea7\u7269\uff0c\u6211\u662f\u5728\u5c1d\u8bd5\u5b66\u4e60\u6570\u5b66\u548c\u7269\u7406\u76f8\u5173\u7406\u8bba\u7684\u65f6\u5019\u7ed3\u5408\u7f16\u7801\u5b66\u7684\u4e00\u4e9b\u81ea\u5df1\u7684\u770b\u6cd5\u5728\u505a\u5b9e\u9a8c\uff0c\u5f53\u7136\u5b9e\u9a8c\u5185\u5bb9\u5927\u90e8\u5206\u4e5f\u662f vibe coding \u7684\u4ea7\u7269\uff0c\u73b0\u6709\u57fa\u51c6\u662f\u8fd9\u4e2a\u6a21\u578b\u5728\u672c\u5730\u5b66\u4e60 fineweb \u6570\u636e\u96c6\uff0c\u67b6\u6784\u6ca1\u6709\u8bcd\u5178\u5c42\uff0c\u53ea\u6709\u5b57\u7b26\u5b66\u4e60\u548c\u76f8\u5173\u7eaf\u6570\u5b66\u67b6\u6784\u548c\u7f16\u7801\u5c1d\u8bd5\u7684\u60c5\u51b5\u4e0b\u53ef\u4ee5\u6d8c\u73b0\u7c7b\u82f1\u8bed\u8bed\u4e49\u7ed3\u6784\uff0c\u800c\u4e14\u8bad\u7ec3\u548c\u5c55\u5f00\u8f93\u51fa\u5747\u662f\u663e\u5b58\u548c\u5185\u5b58\u4f18\u5316\u5f62\u5f0f\u7684\uff0c\u5927\u5bb6\u53ef\u4ee5\u5c1d\u8bd5\u81ea\u5df1\u5206\u6790\u548c\u4f7f\u7528\u4e00\u4e0b\uff0c\u76f8\u5173\u7684\u601d\u8003\u65b9\u5f0f\u548c\u67b6\u6784\u672c\u8eab\u4e5f\u5728\u4ee3\u7801\u4e2d\u6ce8\u91ca\u4e86\uff0c\u5982\u679c\u7528\u5176\u4ed6 ai \u53bb\u5206\u6790\u8be5\u9879\u76ee\u4f1a\u5bf9\u5176\u6570\u5b66\u7ed3\u6784\u6709\u4e0d\u540c\u770b\u6cd5\uff0c\u5f53\u7136\u53ef\u80fd\u662f\u6211\u7684\u601d\u8003\u89d2\u5ea6\u5bfc\u81f4\u6211\u7684\u7528\u8bed\u548c\u63d0\u793a\u8bcd\u5bfc\u81f4\u5176\u7ed3\u6784\u504f\u79fb\u548c\u6211\u7684\u7528\u8bed\u6ca1\u6709\u5e7f\u6cdb\u88ab\u63a5\u53d7\u7684\u95ee\u9898\u3002\u8bf7\u5927\u5bb6\u6279\u8bc4\u6307\u6b63\uff0c\u6211\u5c3d\u529b\u63d0\u9ad8\u6211\u81ea\u5df1\u3002\n\u9879\u76ee\u5730\u5740\uff1a https://github.com/makai891124-prog/H2Q-MicroStream

\u4e3b\u8981\u662f\u7528\u6765\u90e8\u7f72YOLO26\u505a\u6570\u636e\u96c6\u8bad\u7ec3\u548c\u76ee\u6807\u68c0\u6d4b\u6216\u8ffd\u8e2a\u7684\uff0c\u56fe\u7247\u6570\u636e\u6682\u5b9a 5000 \u5f20\uff08\u5176\u5b9e\u6570\u636e\u6709\u5f88\u591a\uff0c\u4f46\u662f\u6682\u5b9a\u7528\u4e8e\u8bad\u7ec3\u7684\u6570\u636e\u4e0a\u9650\u662f 5000 \u5f20\uff09\u3002

\u76ee\u524d\u6709\u4e00\u53f0 RX6600xt \uff0c\u4f46\u662f directML \u597d\u50cf\u4e5f\u4e0d\u80fd\u4f7f\u8fd9\u5f20\u5361\u53c2\u4e0e\u8bad\u7ec3\u8ba1\u7b97\uff0c\u4e0a\u7f51\u67e5\u4e86\u4e00\u4e0b\u597d\u50cf\u662f\u5bf9 7000 \u7cfb\u5217\u4ee5\u4e0a\u7684\u663e\u5361\u652f\u6301\u7684\u66f4\u597d\u4e00\u4e9b\u3002

\u6240\u4ee5\u8001\u677f\u7684\u610f\u601d\u662f\u91cd\u65b0\u914d\u4e00\u53f0 N \u5361\u4e3b\u673a\uff0c\u4f46\u6211\u4e4b\u524d\u6ca1\u6709\u4f7f\u7528 YOLO \u8bad\u7ec3\u7684\u7ecf\u9a8c\uff0c\u4e0d\u77e5\u9053\u76ee\u524d\u8fd9\u4e2a\u6570\u91cf\u7ea7\u7684\u6570\u636e\u8bad\u7ec3\u4ee5\u53ca\u8fd9\u4e2a\u4f53\u91cf\u7684\u6a21\u578b\u8be5\u4f7f\u7528\u4ec0\u4e48\u5361\u3002\u54a8\u8be2\u5b98\u7f51 AI \u7684\u8bdd\uff0c\u5c31\u662f\u65e0\u8111\u63a8\u8350 4090 \u30015090 \u8fd9\u79cd\u5927\u663e\u5b58\u7684\u5361\u3002\u641e\u5f97\u6211\u5f88\u5934\u75bc~

\u5173\u4e8e\u9884\u7b97\u7684\u8bdd\uff0c\u8001\u677f\u53ea\u8bf4\u4e86\u4e00\u53e5\u4f60\u770b\u7740\u529e\u5427\u3002\u4f46\u4e4b\u524d\u8001\u677f\u7684\u610f\u601d\u662f\u8ba9\u6211\u770b\u770b\u80fd\u4e0d\u80fd\u628a\u73b0\u5728\u8fd9\u53f0\u4e3b\u673a\u7684\u663e\u5361\u6362\u6210 RTX5070 \uff0c\u540e\u6765\u6211\u67e5\u4e86\u4e00\u4e0b\u73b0\u5728\u4e3b\u673a\u7684\u7535\u6e90\uff0c\u624d 500W \uff0c\u5e26\u4e0d\u52a8 5070 \uff0c\u624d\u6709\u4e86\u914d\u65b0\u4e3b\u673a\u7684\u8fd9\u4ef6\u4e8b\u3002\u6240\u4ee5\u6211\u60f3\u7740\u5199\u4e2a\u4e24\u4e09\u5957\u914d\u7f6e\u5355\u7ed9\u8001\u677f\u770b\uff0c\u4f4e\u914d\u9ad8\u914d\u90fd\u5199\u4e00\u4e0b\uff0c\u8ba9\u8001\u677f\u51b3\u5b9a\u9009\u4ec0\u4e48\u3002

\u6709\u6ca1\u6709\u6709YOLO \u8bad\u7ec3+\u76ee\u6807\u68c0\u6d4b\u7ecf\u9a8c\u7684 V \u53cb\u7ed9\u70b9\u5efa\u8bae\uff1f\u8dea\u8c22\u4e86~

\u6700\u8fd1\u5728\u6298\u817e\u672c\u5730\u5927\u6a21\u578b\uff0c\u53d1\u73b0\u4e00\u4e2a\u6838\u5fc3\u95ee\u9898\uff1aOllama \u548c LM Studio \u80fd\u8ba9\u6a21\u578b\u8dd1\u8d77\u6765\uff0c\u4f46\u53c2\u6570\u5168\u9760\u731c\u2014\u2014\u4e0a\u4e0b\u6587\u957f\u5ea6\u3001KV cache \u7c7b\u578b\u3001MoE expert \u653e\u54ea\u3001ubatch \u591a\u5927\u2026\u2026\u7528\u9ed8\u8ba4\u53c2\u6570\u57fa\u672c\u662f\u5728\u6d6a\u8d39\u663e\u5361\u3002

\u4e8e\u662f\u505a\u4e86\u4e2a\u5de5\u5177\u81ea\u52a8\u627e\u6700\u4f18\u914d\u7f6e\uff0c\u8fc7\u7a0b\u4e2d\u8e29\u4e86\u4e0d\u5c11\u5751\uff0c\u8bb0\u5f55\u4e00\u4e0b\u3002

\u6838\u5fc3\u53d1\u73b0

1. MoE \u6a21\u578b\u7684 offload \u7b56\u7565\u51b3\u5b9a\u4e86\u4e00\u5207

Qwen3-30B-A3B \u662f MoE \u67b6\u6784\uff0c\u5728 8GB \u663e\u5361\u4e0a\uff1a

\n
• LM Studio \u9ed8\u8ba4\u628a\u6240\u6709\u5c42\u585e\u8fdb\u663e\u5b58 \u2192 7549MB \uff08 93%\uff09\uff0c3 tok/s
\n
• \u53ea\u628a attention \u5c42\u653e GPU \uff0cMoE expert \u5c42\u8d70 CPU \u2192 2603MB \uff08 32%\uff09\uff0c21 tok/s
\n

\u5feb\u4e86 7 \u500d\uff0c\u663e\u5b58\u53cd\u800c\u7701\u4e86 65%\u3002\u5173\u952e\u662f llama.cpp \u652f\u6301\u8fd9\u4e2a\uff0c\u4f46\u4f60\u5f97\u81ea\u5df1\u8bc6\u522b\u54ea\u4e9b tensor \u662f MoE expert \uff08.ffn_.*_exps. \u8fd9\u7c7b\u547d\u540d\uff09\uff0c\u7136\u540e\u624b\u52a8\u914d\u3002

2. KV cache \u7c7b\u578b\u5f71\u54cd\u6bd4\u5927\u591a\u6570\u4eba\u60f3\u7684\u5927

\u540c\u4e00\u5f20 8GB \u663e\u5361\u8dd1 Llama 3.1 8B \uff0c\u4e0d\u540c KV cache \u914d\u7f6e\u901f\u5ea6\u5dee\u5f02\uff1a

f16 \u6bd4 iso3 \u5feb\u5c06\u8fd1 3 \u500d\u3002\u4f46 f16 \u663e\u5b58\u5360\u7528\u66f4\u5927\uff0c\u6240\u4ee5\u6b63\u786e\u7b56\u7565\u662f\uff1a\u5148\u7b97 f16 KV cache \u5360\u591a\u5c11\u663e\u5b58\uff0c\u88c5\u5f97\u4e0b\u5c31\u7528 f16 \uff0c\u88c5\u4e0d\u4e0b\u518d\u964d\u7ea7\u3002

\u516c\u5f0f\uff1aKV_MB = 2 \u00d7 layers \u00d7 kv_heads \u00d7 head_dim \u00d7 ctx \u00d7 bytes / 1024\u00b2

3. oobabooga \u516c\u5f0f\u7528\u6765\u9884\u6d4b ctx \u4e0a\u9650

\u793e\u533a\u91cc\u6d41\u4f20\u7684 oobabooga \u663e\u5b58\u4f30\u7b97\u516c\u5f0f\uff0c\u539f\u672c\u7528\u6765\u9884\u6d4b\u88c5\u8f7d\u6a21\u578b\u540e\u5269\u4f59\u663e\u5b58\u80fd\u652f\u6301\u591a\u5927 ctx \u3002\u4f46\u8fd9\u4e2a\u516c\u5f0f\u662f\u57fa\u4e8e q8_0/f16 \u62df\u5408\u7684\uff0c\u7528 iso3 \u7684\u65f6\u5019\u4f1a\u4e25\u91cd\u9ad8\u4f30\u663e\u5b58\u9700\u6c42\uff0c\u5bfc\u81f4 ctx \u53ea\u7b97\u51fa 4K \u3002

\u6700\u540e\u653e\u5f03\u516c\u5f0f\u9884\u6d4b\uff0c\u6539\u6210\u4e8c\u5206\u63a2\u6d4b\uff1a\u4ece min(nativeCtx, 65536) \u5f00\u59cb\uff0cOOM \u5c31\u51cf\u534a\uff0c\u6700\u591a\u63a2 5 \u6b21\uff0c\u8ba9 llama-server \u81ea\u5df1\u544a\u8bc9\u6211\u80fd\u8dd1\u591a\u5c11\u3002Llama 3.1 8B \u7684 ctx \u4ece 4K \u76f4\u63a5\u5230 64K \u3002

4. parallel slot \u6570\u91cf\u5bf9\u5355\u7528\u6237\u573a\u666f\u5f71\u54cd\u5de8\u5927

llama.cpp \u9ed8\u8ba4\u5f00 4 \u4e2a\u5e76\u884c slot \uff08\u4e3a\u4e86\u591a\u7528\u6237\u5e76\u53d1\uff09\uff0c\u4f46\u5355\u7528\u6237\u573a\u666f\u4e0b\u8fd9\u4f1a\u628a VRAM \u5206\u6210 4 \u4efd\u3002

\u5173\u6389\u591a\u4f59 slot \uff08--parallel 1\uff09\u4e4b\u540e\uff1a18.5 \u2192 38.2 tok/s \uff0c\u76f4\u63a5\u7ffb\u500d\u3002

5. ubatch \u5b9e\u6d4b\u6bd4\u7406\u8bba\u66f4\u53ef\u9760

ubatch 128 vs 512 \u7684\u6027\u80fd\u5dee\u5f02\u8ddf\u6a21\u578b\u548c\u663e\u5361\u90fd\u6709\u5173\u7cfb\uff0c\u6ca1\u6709\u901a\u7528\u6700\u4f18\u503c\u3002\u5b9e\u6d4b\u7ed3\u8bba\uff1a

\n
• 8K ctx\uff1aubatch 512 \u6bd4 128 \u5feb 7.6%
\n
• 64K ctx\uff1aubatch 512 \u6bd4 128 \u5feb 21.6%
\n

\u76f4\u63a5 benchmark \u4e24\u4e2a\u503c\u53d6\u5feb\u7684\uff0c\u6bd4\u67e5\u6587\u6863\u731c\u9760\u8c31\u3002

6. \u5bf9\u8bdd\u538b\u7f29\u4e0d\u8981\u7528\u6a21\u578b\u751f\u6210\u6458\u8981

\u6700\u521d\u65b9\u6848\u662f\u4e0a\u4e0b\u6587\u6ee1\u4e86\u4e4b\u540e\u8c03\u672c\u5730\u6a21\u578b\u751f\u6210\u6458\u8981\u2014\u2014\u7ed3\u679c\u5355 slot \u963b\u585e\uff0c\u76f4\u63a5\u8d85\u65f6\u3002

\u6539\u6210\u7eaf\u7b97\u6cd5\u63d0\u53d6\uff1a\u4fdd\u7559\u5934\u90e8\uff08 system prompt + \u9996\u8f6e\u5bf9\u8bdd\uff09\u548c\u5c3e\u90e8\uff08\u6700\u8fd1 8K tokens \uff09\uff0c\u4e2d\u95f4\u90e8\u5206\u63d0\u53d6\u4ee3\u7801\u8def\u5f84\u3001\u51fd\u6570\u540d\u3001\u6587\u4ef6\u540d\u3001TODO \u7b49\u5173\u952e\u4fe1\u606f\u3002\u538b\u7f29\u7387 73%\uff0c\u8017\u65f6 <1ms \u3002

\u7528\u4e86\u54ea\u4e9b\u6280\u672f\uff0c\u5b9e\u73b0\u4e86\u4ec0\u4e48\u529f\u80fd

llama.cpp \u2014 \u63a8\u7406\u5f15\u64ce\u6838\u5fc3

\u76f4\u63a5\u8c03\u7528 llama.cpp \u7684 llama-server \uff0c\u6240\u6709\u53c2\u6570\uff08 ctx \u3001KV cache \u7c7b\u578b\u3001\u7ebf\u7a0b\u6570\u3001ubatch \u3001mlock \u3001tensor split \uff09\u90fd\u901a\u8fc7\u542f\u52a8\u53c2\u6570\u6ce8\u5165\u3002Kaiwu \u672c\u8d28\u4e0a\u662f\u4e00\u4e2a\u53c2\u6570\u51b3\u7b56\u5c42\uff0c\u4e0d\u6539\u63a8\u7406\u5f15\u64ce\u672c\u8eab\u3002

IsoQuant / TurboQuant \u2014 3-bit KV cache \u538b\u7f29

\u96c6\u6210\u4e86 johndpope \u7684 turboquant fork \uff08feature/planarquant-kv-cache\uff09\uff0c\u652f\u6301 -ctk iso3 -ctv iso3 \u53c2\u6570\u3002iso3 \u7684\u538b\u7f29\u7cfb\u6570\u5b9e\u6d4b 0.73 \uff0c\u7406\u8bba\u503c 0.75 \uff0c\u5728 VRAM \u7d27\u5f20\u7684\u8bbe\u5907\uff08 8GB \uff09\u4e0a\u53ef\u4ee5\u628a KV cache \u5360\u7528\u538b\u7f29\u5230 q8_0 \u7684\u4e00\u534a\u3002\u4f46\u6709\u7ea6 600MB \u56fa\u5b9a\u89e3\u7801 buffer \u5f00\u9500\uff0cVRAM \u5145\u88d5\u65f6\u53cd\u800c\u6bd4 f16 \u6162 8%\uff0c\u6240\u4ee5\u7b56\u7565\u662f VRAM > 16GB \u624d\u9ed8\u8ba4\u5f00 iso3 \u3002

oobabooga \u663e\u5b58\u4f30\u7b97\u516c\u5f0f \u2014 ctx \u4e0a\u9650\u9884\u6d4b\uff08\u5df2\u653e\u5f03\uff09

\u793e\u533a\u6d41\u4f20\u7684\u516c\u5f0f\u7528\u6765\u9884\u6d4b\u5269\u4f59\u663e\u5b58\u80fd\u652f\u6301\u591a\u5927 ctx \uff0c\u57fa\u4e8e q8_0/f16 \u62df\u5408\u3002iso3 \u573a\u666f\u4e0b\u9ad8\u4f30\u663e\u5b58\u9700\u6c42\uff0c\u5bfc\u81f4 ctx \u53ea\u7b97\u51fa 4K \u3002\u6700\u7ec8\u6539\u6210\u4e8c\u5206\u63a2\u6d4b\u4ee3\u66ff\u516c\u5f0f\uff0c\u8ba9 llama-server \u81ea\u5df1\u51b3\u5b9a\u80fd\u8dd1\u591a\u5c11\u3002

GQA \u67b6\u6784\u8bc6\u522b \u2014 KV cache \u7cbe\u51c6\u4f30\u7b97

Qwen3 \u7b49\u65b0\u6a21\u578b\u7528 GQA \uff08 Grouped Query Attention \uff09\uff0ckv_heads \u8fdc\u5c0f\u4e8e attention_heads \u3002KV cache \u5927\u5c0f\u516c\u5f0f\u91cc\u7528\u7684\u662f kv_heads \u800c\u4e0d\u662f heads \uff0c\u4e0d\u8bc6\u522b\u8fd9\u4e00\u70b9\u4f1a\u9ad8\u4f30 3-4 \u500d\u3002\u901a\u8fc7\u8bfb GGUF metadata \u62ff\u5230\u51c6\u786e\u7684 kv_heads \u503c\u518d\u505a\u8ba1\u7b97\u3002

MoE tensor \u8bc6\u522b \u2014 \u81ea\u52a8 expert offload

\u8bfb\u53d6\u6a21\u578b\u7684 tensor \u540d\u79f0\u5217\u8868\uff0c\u5339\u914d .ffn_.*_exps. \u6a21\u5f0f\u8bc6\u522b\u51fa MoE expert \u5c42\uff0c\u81ea\u52a8\u51b3\u5b9a\u628a\u8fd9\u90e8\u5206\u8def\u7531\u5230 CPU \u3002\u4e0d\u9700\u8981\u7528\u6237\u624b\u52a8\u6307\u5b9a\uff0c\u4e5f\u4e0d\u9700\u8981\u63d0\u524d\u77e5\u9053\u6a21\u578b\u67b6\u6784\u3002

Extractive Summary \u2014 \u96f6\u5ef6\u8fdf\u5bf9\u8bdd\u538b\u7f29

\u4e0a\u4e0b\u6587\u5230 75% \u65f6\u89e6\u53d1\uff0c\u7eaf\u7b97\u6cd5\u63d0\u53d6\uff1a\u4fdd\u7559 system prompt \u3001\u9996\u8f6e\u5bf9\u8bdd\u3001\u6700\u8fd1 8K tokens \uff0c\u4e2d\u95f4\u90e8\u5206\u6309\u5173\u952e\u8bcd\u6743\u91cd\u4fdd\u7559\uff08\u4ee3\u7801\u8def\u5f84\u3001\u51fd\u6570\u540d\u3001\u6587\u4ef6\u540d\u3001TODO \u3001\u547d\u4ee4\u884c\u7b49\uff09\u3002\u4e0d\u8c03\u7528\u4efb\u4f55\u6a21\u578b\uff0c\u538b\u7f29\u8017\u65f6 <1ms \uff0c73% \u538b\u7f29\u7387\u3002\u6700\u521d\u8bd5\u8fc7\u8c03\u672c\u5730\u6a21\u578b\u751f\u6210\u6458\u8981\uff0c\u5355 slot \u963b\u585e\u76f4\u63a5\u8d85\u65f6\uff0c\u8fd9\u6761\u8def\u8d70\u4e0d\u901a\u3002

GitHub Actions CI \u2014 \u8de8\u5e73\u53f0\u81ea\u52a8\u7f16\u8bd1

turboquant fork \u9700\u8981\u81ea\u5df1\u7f16\u8bd1\u5e26 iso3 \u652f\u6301\u7684 llama-server \u3002\u7528 GitHub Actions \u540c\u65f6\u7f16\u8bd1 Windows \uff08 MSVC \uff09\u548c Linux \uff08 GCC \uff09\u7248\u672c\uff0cCUDA 12.4 \uff0c\u8986\u76d6 sm_75/80/86/89 \u67b6\u6784\uff0cRTX 50 \u7cfb\u5217\u901a\u8fc7 PTX JIT \u8fd0\u884c\u65f6\u652f\u6301\u3002\u8e29\u4e86\u4e09\u4e2a MSVC \u7f16\u8bd1\u5751\uff08 extern \"C\" \u58f0\u660e\u6539\u5b9a\u4e49\u3001M_PI \u672a\u5b9a\u4e49\u3001\u5168\u5c40\u7b26\u53f7\u7f3a\u5931\uff09\uff0c\u8bb0\u5f55\u5728 PROGRESS.md \u91cc\u3002

\u5de5\u5177

\u628a\u4e0a\u9762\u8fd9\u4e9b\u903b\u8f91\u90fd\u81ea\u52a8\u5316\u4e86\uff0c\u53eb\u5f00\u7269\uff08 Kaiwu \uff09\u3002\u4e00\u884c\u547d\u4ee4\u542f\u52a8\uff0c\u53c2\u6570\u5168\u90e8\u81ea\u52a8\u627e\uff0c\u7ed3\u679c\u7f13\u5b58\u8d77\u6765\uff0c\u7b2c\u4e8c\u6b21 2 \u79d2\u542f\u52a8\u3002

GitHub\uff1a https://github.com/val1813/kaiwu

OpenAI \u517c\u5bb9 API \uff0cContinue / Cursor / Claude Code \u76f4\u63a5\u63a5\u3002

\u6709\u9047\u5230\u7c7b\u4f3c\u95ee\u9898\u7684\u6b22\u8fce\u4ea4\u6d41\uff0c\u5c24\u5176\u662f MoE offload \u548c KV cache \u8fd9\u5757\u8e29\u5751\u633a\u6df1\u7684\u3002

\n
• \u6bd4\u5982\u6211\u4e0b\u8f7d\u4e86\u4e00\u4e2a\u6a21\u578b\u3002
\n
• \u7136\u540e\u518d\u628a\u6211\u6240\u6709\u6587\u6863\u4ea4\u7ed9\u5b83\uff0c\u4e8c\u6b21\u8bad\u7ec3\u3002
\n
• \u90a3\u4e48\uff0c\u662f\u4e0d\u662f\u5c31\u6ca1\u5fc5\u8981 RAG \u4e86\u3002
\n
• \u901a\u8fc7\u8fd9\u4e2a\u6a21\u578b\uff0c\u6211\u5c31\u80fd\u63d0\u95ee\u4e86\u561b\uff0c\u6bd5\u7adf\uff0c\u6211\u7684\u57fa\u56e0\u5df2\u7ecf\u5d4c\u5165\u8fdb\u53bb\u4e86\u3002
\n

\u8fd9\u4e1c\u897f\u6211\u90fd\u6ca1\u89c1\u8fc7\u5b9e\u7269\uff0c\u5728 USA \u7684\u540c\u5b66\u6709\u4e00\u53f0\uff0c\u4f46\u662f\u4ed6\u4e0a\u7ebf\u540e\u5e94\u7528\u7684\u4e8b\u60c5\u90fd\u5feb\u62c9\u7206\u4e86\uff0c\u6682\u65f6\u6ca1\u7a7a\u6d4b\u6211\u7684\u60f3\u6cd5\uff0c\u53ea\u80fd\u60f3\u8c61\u7740\u6765\u95ee\u4e00\u4e0b\u8fd9\u91cc\u5404\u4f4d\u4f6c\u4e86:

\n
• C++,Python \u7684\u4ee3\u7801 review;
\n
• \u6839\u636e\u63d0\u793a\u8bcd,\u5904\u7406 MySQL \u8fd4\u56de\u6765 8k~13k \u6761\u5df2\u6210 JSON \u7684\u6570\u636e\u63d0\u53d6;(\u5b57\u6bb5\u548c\u5185\u5bb9\u4e0d\u591a,\u7206\u4e0d\u4e86\u4e0a\u4e0b\u6587)
\n
• \u7ed9\u51fa\u521d\u9ad8\u4e2d\u7684\u6570\u5b66\u7269\u7406,\u67d0\u9898\u7684\u89e3\u9898\u601d\u8def;
  \n\u9700\u6c42\u5c31\u8fd9\u4e09\u7c7b\u4e8b\u60c5\u4e3a\u4e3b\u3002
\n

\u95ee\u9898:

\n
• DGX Spark 128G \u8dd1\u4e2a\u4ec0\u4e48\u6a21\u578b\u80fd\u5e94\u4ed8\u4ee5\u4e0a\u4e09\u7c7b\u5f3a\u5ea6\u7684\u4e8b\u60c5?
\n
• \u5982\u679c\u6709\u5408\u9002(\u6216\u8005\u5c06\u5c31)\u5e94\u4ed8\u7684\u6a21\u578b\uff0c90%\u989d\u5b9a\u5bb9\u91cf\u7684\u4e0a\u4e0b\u6587\u6253\u8fdb\u53bb,\u8981\u591a\u4e45\u65f6\u95f4\u6709\u53cd\u5e94\u5f00\u59cb\u51fa tokens?
\n
• \u6bcf\u79d2\u80fd\u5410\u591a\u5c11 tokens?
\n

\u8003\u8651:

\n
• \u573a\u5730\u7a7a\u95f4\u548c\u7269\u7406\u6761\u4ef6\u6240\u9650,\u53ea\u80fd\u627e\u8fd9\u7c7b\u5c0f\u673a.
\n
• \u53ef\u4ee5\u8003\u8651 Mac Studio M3U 256G,\u518d\u65b0\u6b3e\u7684\u52a0\u94b1\u4e5f\u4e0d\u597d\u4e70,\u4e5f\u8d35.
\n

\u6bd4\u5982\u8981\u90e8\u7f72 deepseek \u6ee1\u8840\u7248\uff0c\u603b\u4e0d\u80fd\u7528\u4e00\u53f0\u8dd1\u5bf9\u5427\uff0c\u90a3\u6bd4\u5982\u6709\u4e09\u53f0 SXM \u7248\u7684 8 \u5361 A100 \u7684 GPU \u670d\u52a1\u5668

\u597d\u5947\u95ee\u4e00\u4e0b\uff0c\u60f3\u5b66\u4e60\u5b66\u4e60

\u6bd4\u5982\u770b dgx spark \u8fd9\u53f0\u673a\u5b50\uff0c\u90e8\u7f72 31B BF16 gemma

\u8fd9\u53f0\u673a\u5b50\u7684\u5e26\u5bbd 273 GB/s

31B \u53c2\u6570 \u00d7 2 bytes (BF16) \u00f7 273 GB/s = \u6bcf\u4e2a token 227 ms = \u7406\u8bba\u6700\u5927 4.4 token/s

\u5b9e\u9645\u80fd\u5230 3token/s \u5df2\u7ecf\u662f\u725b\u903c plus \uff0c\u9876\u591a 2.5token/s

\u6240\u4ee5\u6709\u4e2a\u5173\u7cfb\uff0c\u4e0d\u8981\u95ee\u80fd\u4e0d\u80fd\u8fd0\u884c\u548b\u7684\uff0c\u81ea\u5df1\u5927\u6982\u7b97\u4e0b\u57fa\u672c\u5c31\u77e5\u9053\u80fd\u4e0d\u80fd\u7528

\u7b80\u5355\u5f97\u63a8\u7406\u6211\u89c9\u5f97\u81f3\u5c11\u8981\u523025token/s\uff0c\u770b\u8d77\u6765\u624d\u6b63\u5e38

1. \u6a21\u578b\u5fc5\u987b\u80fd\u52a0\u8f7d\u5b8c\uff0c\u663e\u5b58\u53ea\u662f\u57fa\u672c\u6761\u4ef6

2. \u5fc5\u987b\u8981\u770b\u5185\u5b58\u5e26\u5bbd\uff08 Memory Bandwidth \uff09\uff0c\u8fd9\u4e2a\u592a\u4f4e\u5f97\u8bdd\u4f30\u8ba1\u5c31\u662f\u4e2a\u8ddb\u5b50\uff0c\u6211\u770b\u51e0\u4e4e\u5f88\u5c11\u6709\u4eba\u90e8\u7f72\u6a21\u578b\u65f6\u6ce8\u610f\u8fd9\u4e2a\u914d\u7f6e\uff0c\u8fd9\u4e2a\u4e5f\u662f\u975e\u5e38\u91cd\u8981\u5f97\u53c2\u6570

3. \u4e0a\u9762\u5f97\u57fa\u672c\u662f\u6309\u7167\u82f1\u4f1f\u8fbe\u673a\u5b50\u7b97\u51fa\u6765\u5f97\uff0cmac \u673a\u5b50\u6bd4\u8f83\u7279\u6b8a\uff0c\u57fa\u672c\u53ea\u8981\u80fd\u52a0\u8f7d\u5230 gpu \u91cc\u9762\uff0c\u5269\u4f59\u4e00\u70b9\u5185\u5b58\uff0c\u5c31\u80fd\u7528\u901f\u5ea6\u4e0d\u4f1a\u5f88\u6162\uff08 20token/s \u5c06\u5c31\u80fd\u7528\uff09\uff0c\u51b7\u542f\u52a8\u7a0d\u5fae\u6162\u70b9

\u8fd8\u6709\u4e2a\u672c\u5730\u6a21\u578b\u90e8\u7f72\uff0c\u9664\u4e86\u82b1\u5927\u94b1\uff0c\u672c\u5730\u90e8\u7f72\u5c31\u662f\u73a9\u73a9\u53ef\u4ee5\uff0c\u8d77\u7801\u73b0\u5728\u4e0d\u8981\u5984\u60f3\u8d85\u8fc7\u7ebf\u4e0a\u5f97\u6a21\u578b\uff0c\u5c24\u5176\u5199\u4ee3\u7801\u65b9\u9762

\u6211\u4e2a\u4eba\u8ba4\u4e3a\u73b0\u5728\u672c\u5730\u6a21\u578b\u80fd\u505a\u5f97\u4e8b

\n
1. ocr
\n
2. \u603b\u7ed3\u505a\u77e5\u8bc6\u5e93
\n
3. openclaw \u8fd8\u6709\u4ec0\u4e48\u7231\u9a6c\u4ed5\u8fd9\u4e2a\u63a8\u7406\u4e5f\u53ef\u4ee5\u505a\uff0c\u9700\u8981\u63d0\u524d\u7528\u7ebf\u4e0a\u6a21\u578b\u5b8c\u6210\u590d\u6742\u5f97\u4ee3\u7801\uff0c\u672c\u5730\u6267\u884c\u63a8\u7406\u4e00\u5b9a\u8981\u8bb0\u5f97\u505a\u597d\u673a\u5b50\u6563\u70ed\uff0c\u4e00\u5b9a\uff01\uff01\u4e00\u5b9a\u4e00\u5b9a\uff01\uff01\uff01
\n

\u5e0c\u671b\u5927\u5bb6\u6765\u4ea4\u6d41\u81ea\u5df1\u5f97\u5fc3\u5f97\uff0c\u5927\u5bb6\u5171\u540c\u5b66\u4e60\u8fdb\u6b65

\u4e2a\u4eba\u4f7f\u7528\nnew-api \u914d\u7f6e\u9879\u592a\u591a\u4e86\uff0c\u770b\u7684\u6211\u5934\u75bc\u3002\n\u6709\u6ca1\u6709\u7b80\u5355\u7248\u672c\u7684

\u516c\u53f8\u505a\u7684\u662f\u7f8e\u56e2\u4e1a\u52a1\uff0c\u9700\u8981\u5b9a\u671f\u89e3\u6790\u4e00\u6279\u7f8e\u56e2\u7684\u8ba2\u5355\u622a\u56fe\uff08\u4e5f\u6709\u4e00\u4e9b\u662f\u624b\u673a\u76f8\u673a\u62cd\u7684\u8ba2\u5355\u9875\u9762\u56fe\u7247\uff09\uff0c\u63d0\u53d6\u51fa\u5176\u4e2d\u7684\u8ba2\u5355\u53f7\u7801\u3002\n\u6211\u8bd5\u7528\u4e86\u4e0b\u817e\u8baf\u7684 ocr \u8bc6\u522b\u6210\u529f\u7387\u5f88\u9ad8\uff0c\u5c31\u662f\u592a\u8d35\u4e86\uff0c\u56fe\u7247\u91cf\u5f88\u5927\u906d\u4e0d\u4f4f\u3002\u54ea\u4f4d\u8001\u54e5\u7814\u7a76\u8fc7 OCR \uff0c\u80fd\u4e0d\u80fd\u63a8\u8350\u4e00\u4e2a\u9002\u5408\u672c\u5730\u90e8\u7f72\u7684\uff0c\u516c\u53f8\u6709 5060 \u663e\u5361\u3002

\u5728 mac studio \u3001395 Max \u548c DGX Spark \u8fd9\u51e0\u79cd\u8bbe\u5907\u8003\u8651

\u672c\u5730\u90e8\u7f72\u7684 coding \u80fd\u529b\u548c\u6548\u679c\uff0c\u80fd\u63a5\u8fd1 gpt-5.3-codex \u5417\uff1f

\u5982\u679c\u672c\u5730\u90e8\u7f72\u7684 coding \u80fd\u529b\u53ef\u4ee5\uff0c\u6211\u611f\u89c9\u53ef\u4ee5\u8ba9\u725b\u903c\u7684\u6a21\u578b API \u6765\u521b\u5efa\u5206\u89e3\u4efb\u52a1\uff0c\u7136\u540e\u8ba9\u672c\u5730\u6267\u884c\u3002

70B \u4ee5\u4e0b 32B \u5de6\u53f3\u7684

\u5b89\u5353\u7528\u8fd9\u4e2a:\nhttps://github.com/google-ai-edge/gallery

\u53e6\u5916\u5728 m2 mac \u4e0a\u76f4\u63a5\u8dd1 cli\nhttps://github.com/google-ai-edge/LiteRT-LM

\u8fd9\u79cd\u6027\u80fd\u5df2\u7ecf\u5b8c\u5168\u53ef\u4ee5\u79bb\u7ebf\u8fd0\u884c \u9152\u9986 \u5c0f\u624b\u673a \u4e4b\u7c7b\u7684\u79c1\u5bc6\u573a\u666f.

\u5982\u9898\uff0c\u770b\u5230\u597d\u591a\u6587\u7ae0\u90fd\u5728\u8bf4 Gemma 4 \u3002\u6216\u8bb8\u79c1\u4eba AI \u52a9\u624b\uff0c\u662f\u4e0d\u662f\u8981\u6210\u4e3a\u6807\u914d\u4e86\uff1f

\u4eca\u5e74\u5185\u5b58\u662f\u5927\u6982\u7387\u4e0d\u4f1a\u964d\u4ef7\u4e86

\u968f\u7740\u4ef7\u683c\u7684\u523a\u6fc0\u548c\u4ea7\u80fd\u7684\u63d0\u5347\uff0c\u4ee5\u53ca\u5bf9\u672c\u5730\u5927\u6a21\u578b\u7684\u9700\u6c42\uff0c2 \u5e74\u4ee5\u540e 256G \u5185\u5b58\u80fd\u5426\u5f97\u5230\u666e\u53ca\uff1f

256G \u5185\u5b58\uff0c\u52a0\u4e0a\u672c\u5730\u6a21\u578b\u7684\u53d1\u5c55\uff0c\u5e94\u8be5\u53ef\u4ee5\u5728\u672c\u5730\u8fd0\u884c\u4e00\u4e9b\u975e\u5e38\u4e0d\u9519\u7684 coding \u6a21\u578b\u4e86

\u6211\u7684\u673a\u5668\u662f M1 Pro \uff0c32G \u5185\u5b58\uff0c\u90e8\u7f72\u672c\u5730\u6a21\u578b\u4e3b\u8981\u662f\u4e24\u4e2a\u9700\u6c42\uff1a

\n
1. \u7ffb\u8bd1
\n
2. \u603b\u7ed3\u5e76\u505a\u7b80\u5355\u7684\u5206\u6790\u63d0\u53d6\u5185\u5bb9
\n

\u6211\u4e00\u5f00\u59cb\u4f7f\u7528\u7684\u662f qwen3.5-9b \u548c qwen3.5-4b \u7684\u6a21\u578b\uff0c\u6d4b\u8bd5\u7684\u65f6\u5019\uff0c\u53ef\u4ee5\u7528\uff0c\u4f46\u662f\u5728\u5b9e\u9645\u8dd1\u8d77\u6765\u7684\u65f6\u5019\uff0c\u53d1\u73b0 qwen \u4f1a\u65e0\u9650\u601d\u8003\uff0c\u7ecf\u5e38 10 \u5206\u949f\u90fd\u6ca1\u6709\u4efb\u4f55\u54cd\u5e94\uff1b\u540e\u6765\u6362\u6210\u4e86 qwen3-4b \u7684\u6a21\u578b\uff0c\u6548\u679c\u6bd4\u8f83\u597d\uff0c\u5f88\u5c11\u51fa\u73b0\u65e0\u9650\u601d\u8003\u7684\u95ee\u9898

\u672c\u5730\u90e8\u7f72 deepseek 70B \u7684\u6a21\u578b\uff0c\u95ee\u7b54\u51e0\u8f6e\u4e4b\u540e\u5c31\u4e71\u7801\u4e86\uff0c\u600e\u4e48\u56de\u4e8b\uff1f\u6211\u540c\u4e8b\u8bf4\u4e00\u822c\u90e8\u7f72\u7684\u672c\u5730\u6a21\u578b\u591a\u8f6e\u95ee\u7b54\u4e4b\u540e\u5c31\u53ef\u80fd\u4f1a\u6709\u8fd9\u4e2a\u95ee\u9898\uff1f

\u5982\u9898 3090 \u6da1\u8f6e 24G \u5ba2\u6237\u62ff\u6765\u8dd1\u6587\u672c\u5411\u91cf\u6a21\u578b,\u914d\u7684\u94c2\u91d1 8259CL \u7684\u5904\u7406\u5668 \u662f\u4e0d\u662f\u6709\u70b9\u8fc7\u5269

\u4e4b\u524d\u4e00\u76f4\u90fd\u662f\u7528 ds \u6765\u5206\u6790\u80a1\u7968\u6570\u636e\uff0c\u4eca\u5929\u7a81\u7136\u597d\u5947\uff0c\u6709\u6ca1\u6709\u4e13\u95e8\u9488\u5bf9\u80a1\u7968\u7684\u5927\u6a21\u578b\uff1f\u6700\u597d\u662f\u53ef\u4ee5\u90e8\u7f72\u5728\u672c\u5730\u7684\u3002