{"id":103589,"date":"2026-09-11T02:09:05","date_gmt":"2026-09-10T18:09:05","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/103589.html"},"modified":"2026-09-11T02:09:05","modified_gmt":"2026-09-10T18:09:05","slug":"%e5%8f%8c-3090-%e5%ae%9e%e6%b5%8b%ef%bc%9aollama-vs-llama-cpp-%e8%b7%91-qwen3-8-27b%e9%80%9f%e5%ba%a6%e5%b7%ae%e4%b8%80%e5%80%8d%ef%bc%81","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/103589.html","title":{"rendered":"\u53cc 3090 \u5b9e\u6d4b\uff1aOllama vs llama.cpp \u8dd1 Qwen3.8-27B\u901f\u5ea6\u5dee\u4e00\u500d\uff01"},"content":{"rendered":"

\u6458\u8981<\/h3>\n

Ollama \u5c01\u88c5 llama.cpp \u5e26\u6765\u6613\u7528\u6027，\u4f46\u4ee3\u4ef7\u85cf\u5728\u67b6\u6784\u91cc\u3002\u672c\u6587\u901a\u8fc7\u5b9e\u6d4b\u8fdb\u7a0b\u6252\u51fa\u771f\u76f8：Ollama \u8bf7\u6c42\u9700\u7ecf\u4e24\u6b21 HTTP + \u4e24\u6b21 JSON \u5e8f\u5217\u5316（client \u2192 ollama serve:11434 \u2192 llama-server:62037），\u4e0e llama.cpp \u5355\u6b21\u76f4\u8fde\u5f62\u6210\u5bf9\u6bd4\u3002128K \u4e0a\u4e0b\u6587 prefill \u5b9e\u6d4b 720 vs 1405 tok\/s，\u5dee\u8ddd\u8fd1 2 \u500d\u3002\u9644 8 \u4e2a\u8fc1\u79fb\u907f\u5751 + \u9ec4\u91d1\u914d\u7f6e\u3002<\/p>\n

\u4e00\u3001\u5b9e\u6d4b\u73af\u5883\u4e0e\u6570\u636e\u6761\u4ef6\u58f0\u660e<\/h3>\n\n\n\u9879Ollamallama.cpp<\/tr>\n\n\n\n\n\n
\u5f15\u64ce<\/td>\n0.33.0<\/td>\nb10822 (CUDA 12.4)<\/td>\n<\/tr>\n
\u6743\u91cd<\/td>\nQ8_0<\/td>\nUD-Q6_K<\/td>\n<\/tr>\n
KV \u7f13\u5b58<\/td>\nq8_0<\/td>\nq4_0<\/td>\n<\/tr>\n
\u786c\u4ef6<\/td>\n\u53cc RTX 3090 (48GB)<\/td>\n<\/tr>\n
\u4efb\u52a1<\/td>\nNIAH 10\/50\/90% + Recall + Reason @128K<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u6570\u636e\u6761\u4ef6\u58f0\u660e：\u4e24\u7ec4\u975e\u4e25\u683c\u540c\u914d\u7f6e（\u91cf\u5316\u6863\u4e0d\u540c），\u4f46\u786c\u4ef6\/\u6a21\u578b\/\u4efb\u52a1\u4e00\u81f4，\u4e14\u5404\u81ea\u4e3a\u5f15\u64ce\u5178\u578b\u7528\u6cd5\u3002\u5dee\u8ddd\u5f52\u56e0：\u5f15\u64ce\u8f6c\u53d1\u5c42\u4e3a\u4e3b，\u91cf\u5316\u5dee\u5f02\u4e3a\u6b21\u3002<\/p>\n

\u4e8c\u3001\u673a\u5236\u62c6\u89e3：\u4e24\u6b21 HTTP \u8f6c\u53d1\u7684\u771f\u76f8<\/h3>\n

\u5b9e\u6d4b\u8fdb\u7a0b\u6811\u6252\u51fa\u7684\u8bf7\u6c42\u8def\u5f84：<\/p>\n

client \u2192 ollama serve(:11434) \u2192 llama-server(:62037) \u2192 model<\/p>\n

\u5173\u952e\u53d1\u73b0：Ollama \u7684 runner \u662f\u72ec\u7acb HTTP \u670d\u52a1（\u5b9e\u6d4b\u7aef\u53e3 62037），\u4e3b\u8fdb\u7a0b\u6536\u5230\u8bf7\u6c42\u540e\u4e8c\u6b21\u8f6c\u53d1\u3002\u8fd9\u610f\u5473\u7740：<\/p>\n

    \n
  • JSON \u5e8f\u5217\u5316\/\u53cd\u5e8f\u5217\u5316 2 \u6b21（\u957f\u4e0a\u4e0b\u6587\u65f6\u6570\u636e\u91cf\u6210\u500d）<\/li>\n
  • HTTP \u4f20\u8f93 2 \u8d9f（\u7f51\u7edc\u6808\u5f00\u9500\u7ffb\u500d）<\/li>\n
  • \u4e2d\u95f4\u591a\u4e00\u5c42\u8c03\u5ea6\u6392\u961f（\u5e76\u53d1\u65f6\u9501\u7ade\u4e89）<\/li>\n<\/ul>\n

    llama-server \u76f4\u8fde：\u5e8f\u5217\u5316 1 \u6b21\u3001HTTP 1 \u8d9f\u3001\u65e0\u4e2d\u95f4\u8c03\u5ea6\u5c42\u3002\u77ed\u4e0a\u4e0b\u6587（\u6beb\u79d2\u7ea7）\u65e0\u611f；128K prefill \u65f6\u8bf7\u6c42\u4f53 10 \u4e07\u5b57\u7ea7，\u5f00\u9500\u88ab\u653e\u5927\u5230\u8fd1 2 \u500d\u3002<\/p>\n

    \u4e09\u3001\u5b9e\u6d4b\u6027\u80fd<\/h3>\n\n\n\u4e0a\u4e0b\u6587llama.cpp prefillOllama prefill<\/tr>\n\n
    128K<\/td>\n1159~1405 tok\/s<\/td>\n~720 tok\/s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    decode \u9636\u6bb5\u5dee\u8ddd\u6536\u7a84（\u53d7\u6a21\u578b\u672c\u8eab\u9650\u5236），\u5dee\u8ddd\u96c6\u4e2d\u5728 prefill（\u957f\u6587\u672c\u9996\u5b57）\u2014\u2014\u8fd9\u6b63\u662f"\u957f\u6587\u7b49\u5f97\u4e45"\u611f\u77e5\u7684\u6765\u6e90\u3002<\/p>\n

    \u56db\u3001\u4e0a\u4e0b\u6587\u4e0a\u9650：\u786c\u7f16\u7801 vs \u663e\u5b58\u8fb9\u754c<\/h3>\n

    Ollama：num_ctx\u00a0\u4e0a\u9650 262144 \u6e90\u7801\u786c\u7f16\u7801，\u7a81\u7834\u9700\u6539\u6e90\u7801\u91cd\u7f16\u8bd1\u3002llama.cpp：\u65e0\u786c\u4e0a\u9650，YaRN \u5916\u63a8\u5b9e\u6d4b 524K \u5168\u7eff（37G \u663e\u5b58，\u4f59\u91cf 11G）\u3002<\/p>\n

    \u4e94\u3001\u8fc1\u79fb\u907f\u5751（8 \u5751\u5b9e\u6d4b）<\/h3>\n\n\n#\u5751\u73b0\u8c61\u89e3\u6cd5<\/tr>\n\n\n\n\n\n\n\n\n
    1<\/td>\n-fa\u00a0\u53c2\u6570<\/td>\n\u542f\u52a8\u5931\u8d25<\/td>\n–flash-attn on<\/td>\n<\/tr>\n
    2<\/td>\n\u5fd8\u914d YaRN<\/td>\nn_ctx \u9759\u9ed8\u56de\u843d 262K<\/td>\n–rope-scaling yarn –rope-scale 2.0 –yarn-orig-ctx 262144<\/td>\n<\/tr>\n
    3<\/td>\nthinking \u672a\u5173<\/td>\n\u8f93\u51fa\u88ab\u601d\u8003\u541e\u6389<\/td>\n–reasoning off<\/td>\n<\/tr>\n
    4<\/td>\nprompt cache<\/td>\n\u91cd\u590d\u8bf7\u6c42\u79d2\u56de<\/td>\n\u6d4b\u8bd5\u00a0cache_prompt: false<\/td>\n<\/tr>\n
    5<\/td>\n\u4e2d\u6587 token<\/td>\n\u6309 0.6 \u4f4e\u4f30<\/td>\n\u4e2d\u6587\u7ea6 1.45 \u5b57\/token<\/td>\n<\/tr>\n
    6<\/td>\n\u50f5\u5c38\u8fdb\u7a0b<\/td>\nRAM 24G\u21924.5G<\/td>\nGet-Process llama-server | Stop-Process -Force<\/td>\n<\/tr>\n
    7<\/td>\ntaskkill \/\/F<\/td>\nMSYS \u9759\u9ed8\u5931\u8d25<\/td>\nPowerShell Stop-Process<\/td>\n<\/tr>\n
    8<\/td>\nGGUF \u7248\u672c<\/td>\n\u7cbe\u5ea6\/\u5927\u5c0f\u5dee\u5f02<\/td>\n\u8ba4\u51c6 Unsloth UD \u7248<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u516d\u3001\u914d\u7f6e\u901f\u67e5<\/h3>\n

    # 128K \u8d77\u624b
    \n.\/llama-server -m Qwen3.8-27B-UD-Q6_K.gguf -c 131072 -ngl 99 \\\\
    \n –flash-attn on –cache-type-k q4_0 –cache-type-v q4_0 \\\\
    \n –reasoning off –mlock –no-mmap
    \n# 524K \u5168\u91cf（+YaRN \u4e09\u4ef6\u5957）
    \n# -c 524288 –rope-scaling yarn –rope-scale 2.0 –yarn-orig-ctx 262144<\/p>\n

    \u4e03\u3001\u7ed3\u8bba<\/h3>\n

    Ollama \u7684\u6613\u7528\u6027\u6709\u4ef7\u503c，\u4f46\u5176\u4e24\u6b21 HTTP \u8f6c\u53d1\u7684\u67b6\u6784\u5728\u957f\u6587\u672c\u573a\u666f\u4ed8\u51fa\u663e\u8457\u6027\u80fd\u4ee3\u4ef7，262K \u786c\u4e0a\u9650\u66f4\u662f\u67b6\u6784\u7ea7\u9650\u5236\u3002\u957f\u4e0a\u4e0b\u6587\/\u6781\u81f4\u6027\u80fd\u573a\u666f\u63a8\u8350 llama.cpp（\u53ef\u914d llama-swap \u8865\u5168\u6a21\u578b\u7ba1\u7406）\u3002\u6b22\u8fce\u8bc4\u8bba\u533a\u4ea4\u6d41\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u6458\u8981Ollama \u5c01\u88c5 llama.cpp \u5e26\u6765\u6613\u7528\u6027，\u4f46\u4ee3\u4ef7\u85cf\u5728\u67b6\u6784\u91cc\u3002\u672c\u6587\u901a\u8fc7\u5b9e\u6d4b\u8fdb\u7a0b\u6252\u51fa\u771f\u76f8：Ollama \u8bf7\u6c42\u9700\u7ecf\u4e24\u6b21 HTTP \u4e24\u6b21 JSON \u5e8f\u5217\u5316（client \u2192 ollama serve:11434 \u2192 llama-server:62037），\u4e0e llama.cpp \u5355\u6b21\u76f4\u8fde\u5f62\u6210\u5bf9\u6bd4\u3002128K \u4e0a\u4e0b\u6587 prefill \u5b9e\u6d4b 720 vs 1405 tok\/s，\u5dee\u8ddd\u8fd1 2 \u500d<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[11806,9098,11066,66,132,603],"topic":[],"class_list":["post-103589","post","type-post","status-publish","format-standard","hentry","category-server","tag-11806","tag-it","tag-11066","tag-ai","tag-132","tag-603"],"yoast_head":"\n\u53cc 3090 \u5b9e\u6d4b\uff1aOllama vs llama.cpp \u8dd1 Qwen3.8-27B\u901f\u5ea6\u5dee\u4e00\u500d\uff01 - 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