{"id":24512,"date":"2026-06-10T15:30:27","date_gmt":"2026-06-10T07:30:27","guid":{"rendered":"https:\/\/ab123.xyz\/?p=24512"},"modified":"2026-06-10T15:30:27","modified_gmt":"2026-06-10T07:30:27","slug":"meta-llama-3-%e6%9c%ac%e5%9c%b0%e9%83%a8%e7%bd%b2%e4%b8%8e%e6%80%a7%e8%83%bd%e8%b0%83%e4%bc%98%ef%bc%9a%e4%bb%8e%e5%85%a5%e9%97%a8%e5%88%b0%e7%b2%be%e9%80%9a%e7%9a%84%e6%9d%83%e5%a8%81%e6%8c%87","status":"publish","type":"post","link":"https:\/\/ab123.xyz\/?p=24512","title":{"rendered":"Meta Llama 3 \u672c\u5730\u90e8\u7f72\u4e0e\u6027\u80fd\u8c03\u4f18\uff1a\u4ece\u5165\u95e8\u5230\u7cbe\u901a\u7684\u6743\u5a01\u6307\u5357"},"content":{"rendered":"<p>Meta \u6700\u65b0\u53d1\u5e03\u7684\u5f00\u6e90\u5927\u8bed\u8a00\u6a21\u578b Llama 3 \u51ed\u501f\u51fa\u8272\u7684\u591a\u8f6e\u5bf9\u8bdd\u80fd\u529b\u548c\u63a8\u7406\u6027\u80fd\uff0c\u8fc5\u901f\u6210\u4e3a\u5f00\u53d1\u8005\u548c\u4f01\u4e1a\u7684\u90e8\u7f72\u70ed\u95e8\u3002\u672c\u6307\u5357\u4ece\u96f6\u5f00\u59cb\uff0c\u8be6\u89e3\u672c\u5730\u90e8\u7f72\u6d41\u7a0b\u4e0e\u6027\u80fd\u8c03\u4f18\u6280\u5de7\uff0c\u52a9\u60a8\u5145\u5206\u53d1\u6325\u6a21\u578b\u6f5c\u529b\u3002<\/p>\n<h2>Llama 3 \u672c\u5730\u90e8\u7f72\u73af\u5883\u51c6\u5907<\/h2>\n<p>\u63a8\u8350\u4f7f\u7528 Linux \u7cfb\u7edf\uff08Ubuntu 22.04+\uff09\uff0c\u642d\u914d NVIDIA GPU\uff08\u81f3\u5c11 24GB \u663e\u5b58\uff09\u4ee5\u8fd0\u884c 8B \u53c2\u6570\u7248\u672c\u3002\u5173\u952e\u4f9d\u8d56\u5305\u62ec Python 3.10+\u3001PyTorch 2.1+\u3001CUDA 12.1 \u4ee5\u53ca Hugging Face Transformers \u5e93\u3002<\/p>\n<h3>\u786c\u4ef6\u6700\u4f4e\u8981\u6c42<\/h3>\n<ul>\n<li>CPU\uff1a8 \u6838\u4ee5\u4e0a\uff0c\u63a8\u8350 AMD EPYC \u6216 Intel Xeon<\/li>\n<li>GPU\uff1aNVIDIA A10\/RTX 4090 \u53ca\u4ee5\u4e0a\uff08FP16 \u63a8\u7406\uff09<\/li>\n<li>\u5185\u5b58\uff1a32GB \u7cfb\u7edf\u5185\u5b58 + 16GB \u663e\u5b58<\/li>\n<\/ul>\n<h3>\u5feb\u901f\u90e8\u7f72\u6b65\u9aa4<\/h3>\n<p>\u5b98\u65b9\u63a8\u8350\u4f7f\u7528 Ollama \u6216 vLLM \u6846\u67b6\u3002\u901a\u8fc7 <code>pip install ollama<\/code> \u5b89\u88c5\u540e\uff0c\u8fd0\u884c <code>ollama pull llama3<\/code> \u5373\u53ef\u4e0b\u8f7d\u6a21\u578b\u3002\u4e5f\u53ef\u76f4\u63a5\u4f7f\u7528 Hugging Face \u7684 <code>transformers<\/code> \u52a0\u8f7d\u3002<\/p>\n<h2>\u6027\u80fd\u8c03\u4f18\u6838\u5fc3\u6280\u5de7<\/h2>\n<p>Llama 3 \u7684\u672c\u5730\u8fd0\u884c\u6548\u7387\u76f4\u63a5\u5f71\u54cd\u7528\u6237\u4f53\u9a8c\u3002\u4ee5\u4e0b\u8c03\u4f18\u65b9\u6cd5\u53ef\u663e\u8457\u964d\u4f4e\u5ef6\u8fdf\u5e76\u63d0\u5347\u541e\u5410\u91cf\u3002<\/p>\n<h3>\u91cf\u5316\u4e0e\u7cbe\u5ea6\u4f18\u5316<\/h3>\n<p>\u4f7f\u7528 llama.cpp \u7684 GGUF \u91cf\u5316\u65b9\u6848\uff0c\u5c06 FP16 \u6a21\u578b\u538b\u7f29\u81f3 4-bit \u6216 8-bit\uff0c\u63a8\u7406\u901f\u5ea6\u53ef\u63d0\u5347 2~4 \u500d\uff0c\u663e\u5b58\u5360\u7528\u51cf\u5c11 60%\u3002\u7ecf\u6d4b\u8bd5\uff0c4-bit \u91cf\u5316\u5728\u591a\u6570\u573a\u666f\u4e0b\u635f\u5931\u4f4e\u4e8e 3%\u3002<\/p>\n<h3>\u6279\u5904\u7406\u4e0e\u7f13\u5b58\u7b56\u7565<\/h3>\n<p>\u901a\u8fc7 vLLM \u7684 PagedAttention \u673a\u5236\u52a8\u6001\u7ba1\u7406 KV \u7f13\u5b58\uff0c\u5c06\u4e0a\u4e0b\u6587\u957f\u5ea6\u6269\u5c55\u81f3 8K tokens \u65f6\u4ecd\u4fdd\u6301\u4f4e\u5ef6\u8fdf\u3002\u542f\u7528\u8fde\u7eed\u6279\u5904\u7406\uff08Continuous Batching\uff09\uff0c\u5e76\u53d1\u8bf7\u6c42\u541e\u5410\u91cf\u53ef\u63d0\u5347 5 \u500d\u3002<\/p>\n<h3>\u7f16\u8bd1\u4f18\u5316\uff08CUDA Graph\uff09<\/h3>\n<p>\u5229\u7528 PyTorch \u7684 <code>torch.compile<\/code> \u5c06\u6a21\u578b\u56fe\u7f16\u8bd1\u4e3a\u4f18\u5316\u5185\u6838\uff0c\u5728 A100 \u4e0a\u5b9e\u6d4b\u63a8\u7406\u5ef6\u8fdf\u964d\u4f4e 40%\u3002\u914d\u5408 TensorRT-LLM \u540e\u7aef\u53ef\u83b7\u5f97\u6700\u4f73\u6027\u80fd\u3002<\/p>\n<h2>\u5e94\u7528\u573a\u666f\u4e0e\u5e38\u89c1\u95ee\u9898<\/h2>\n<p>Llama 3 \u9002\u5408\u667a\u80fd\u5ba2\u670d\u3001\u4ee3\u7801\u751f\u6210\u3001\u6587\u6863\u6458\u8981\u7b49\u4f01\u4e1a\u5185\u7f51\u573a\u666f\u3002\u90e8\u7f72\u65f6\u9700\u6ce8\u610f\u6a21\u578b\u8bb8\u53ef\u8bc1\uff08Llama 3 \u793e\u533a\u8bb8\u53ef\uff09\uff0c\u5e76\u8003\u8651\u6570\u636e\u9690\u79c1\u5408\u89c4\u3002<\/p>\n<h3>FAQ<\/h3>\n<ul>\n<li>Q\uff1aCPU \u80fd\u5426\u8fd0\u884c Llama 3\uff1fA\uff1a\u53ef\u4ee5\uff0c\u4f46\u63a8\u8350\u4f7f\u7528 llama.cpp \u7684 CPU \u7248\u672c\uff0c\u9700 32GB \u4ee5\u4e0a\u5185\u5b58\uff0c\u751f\u6210\u901f\u5ea6\u7ea6 5~10 tokens\/s\u3002<\/li>\n<li>Q\uff1a\u5982\u4f55\u96c6\u6210\u5230\u73b0\u6709\u7cfb\u7edf\uff1fA\uff1a\u901a\u8fc7 REST API\uff08\u5982 Ollama \u7684 \/api\/chat \u63a5\u53e3\uff09\u6216 Python SDK \u8c03\u7528\u3002<\/li>\n<\/ul>\n<p>\u83b7\u53d6\u6700\u65b0\u6a21\u578b\u6743\u91cd\u4e0e\u90e8\u7f72\u5de5\u5177\uff0c\u8bf7\u8bbf\u95ee\uff1a<a href=\"https:\/\/llama.meta.com\" target=\"_blank\">Meta Llama \u5b98\u65b9\u7f51\u7ad9<\/a>\u3002\u66f4\u591a\u8c03\u4f18\u6848\u4f8b\u53ef\u67e5\u9605 GitHub \u793e\u533a\u9879\u76ee\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Meta \u6700\u65b0\u53d1\u5e03\u7684\u5f00\u6e90\u5927\u8bed\u8a00\u6a21\u578b Llama 3 \u51ed\u501f\u51fa\u8272\u7684\u591a\u8f6e\u5bf9\u8bdd\u80fd\u529b\u548c\u63a8\u7406\u6027\u80fd\uff0c\u8fc5\u901f\u6210\u4e3a\u5f00\u53d1\u8005\u548c\u4f01\u4e1a\u7684\u90e8 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[10523,9573,5534,9441,10890],"class_list":["post-24512","post","type-post","status-publish","format-standard","hentry","category-4","tag-llm","tag-meta-llama-3","tag-5534","tag-9441","tag-10890"],"_links":{"self":[{"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/posts\/24512","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ab123.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=24512"}],"version-history":[{"count":1,"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/posts\/24512\/revisions"}],"predecessor-version":[{"id":24513,"href":"https:\/\/ab123.xyz\/index.php?rest_route=\/wp\/v2\/posts\/24512\/revisions\/24513"}],"wp:attachment":[{"href":"https:\/\/ab123.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=24512"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ab123.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=24512"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ab123.xyz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=24512"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}