{"id":66161,"date":"2026-01-26T11:05:04","date_gmt":"2026-01-26T03:05:04","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/66161.html"},"modified":"2026-01-26T11:05:04","modified_gmt":"2026-01-26T03:05:04","slug":"sglang-%e6%9c%8d%e5%8a%a1%e5%99%a8%e5%90%af%e5%8a%a8%e5%8f%82%e6%95%b0%e5%ae%8c%e6%95%b4%e6%80%bb%e7%bb%93","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/66161.html","title":{"rendered":"SGLang \u670d\u52a1\u5668\u542f\u52a8\u53c2\u6570\u5b8c\u6574\u603b\u7ed3"},"content":{"rendered":"

SGLang \u670d\u52a1\u5668\u542f\u52a8\u53c2\u6570\u5b8c\u6574\u603b\u7ed3<\/h2>\n

\u4ee5\u4e0b\u6839\u636e SGLang \u5b98\u65b9\u6587\u6863 \u6574\u7406\u7684\u670d\u52a1\u5668\u542f\u52a8\u53c2\u6570\u5b8c\u6574\u5217\u8868，\u6309\u529f\u80fd\u5206\u7c7b，\u63d0\u4f9b\u7528\u9014\u8bf4\u660e\u548c\u63a8\u8350\u503c\u3002<\/p>\n

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📦 \u6a21\u578b\u4e0e Tokenizer<\/h3>\n\n\u53c2\u6570\u7528\u9014\u8bf4\u660e\u63a8\u8350\u503c\/\u4f7f\u7528\u5efa\u8bae<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n\n
–model-path \/ –model<\/td>\n\u6307\u5b9a\u6a21\u578b\u6743\u91cd\u8def\u5f84（\u672c\u5730\u76ee\u5f55\u6216 Hugging Face repo ID）<\/td>\nmeta-llama\/Meta-Llama-3-8B-Instruct（\u5fc5\u586b）<\/td>\n<\/tr>\n
–tokenizer-path<\/td>\n\u6307\u5b9a tokenizer \u8def\u5f84（\u82e5\u4e0e\u6a21\u578b\u4e0d\u540c）<\/td>\n\u9ed8\u8ba4\u540c –model-path<\/td>\n<\/tr>\n
–tokenizer-mode<\/td>\nTokenizer \u6a21\u5f0f：auto（\u9ed8\u8ba4，\u4f18\u5148 fast tokenizer）\u3001slow（\u603b\u662f\u7528\u6162 tokenizer）<\/td>\nauto<\/td>\n<\/tr>\n
–load-format<\/td>\n\u6a21\u578b\u6743\u91cd\u52a0\u8f7d\u683c\u5f0f：auto（\u9ed8\u8ba4，\u4f18\u5148 safetensors）\u3001safetensors\u3001pt\u3001gguf\u3001bitsandbytes<\/td>\nauto<\/td>\n<\/tr>\n
–trust-remote-code<\/td>\n\u662f\u5426\u4fe1\u4efb\u8fdc\u7a0b\u4ee3\u7801（\u7528\u4e8e\u81ea\u5b9a\u4e49\u6a21\u578b）<\/td>\nfalse（\u9ed8\u8ba4），\u975e\u5b98\u65b9\u6a21\u578b\u8bbe\u4e3a true<\/td>\n<\/tr>\n
–context-length<\/td>\n\u5f3a\u5236\u8bbe\u7f6e\u6a21\u578b\u6700\u5927\u4e0a\u4e0b\u6587\u957f\u5ea6<\/td>\n\u4e0d\u5efa\u8bae\u8bbe\u7f6e，\u7531\u6a21\u578b config \u81ea\u52a8\u51b3\u5b9a<\/td>\n<\/tr>\n
–is-embedding<\/td>\n\u662f\u5426\u5c06\u6a21\u578b\u7528\u4f5c\u5d4c\u5165\u6a21\u578b<\/td>\nfalse（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–enable-multimodal<\/td>\n\u542f\u7528\u591a\u6a21\u6001\u529f\u80fd（\u9700\u6a21\u578b\u652f\u6301）<\/td>\ntrue（\u82e5\u6a21\u578b\u4e3a\u591a\u6a21\u6001）<\/td>\n<\/tr>\n
–limit-mm-data-per-request<\/td>\n\u9650\u5236\u5355\u4e2a\u8bf7\u6c42\u7684\u591a\u6a21\u6001\u8f93\u5165\u6570\u91cf<\/td>\n{"image": 1, "video": 1, "audio": 1}（\u793a\u4f8b）<\/td>\n<\/tr>\n
–model-impl<\/td>\n\u6a21\u578b\u5b9e\u73b0\u65b9\u5f0f：auto（\u9ed8\u8ba4，\u4f18\u5148 SGLang \u5b9e\u73b0）\u3001sglang\u3001transformers<\/td>\nauto<\/td>\n<\/tr>\n
–skip-tokenizer-init<\/td>\n\u8df3\u8fc7 tokenizer \u521d\u59cb\u5316（\u9700\u5728\u8bf7\u6c42\u4e2d\u63d0\u4f9b input_ids）<\/td>\nfalse（\u9ed8\u8ba4），\u9ad8\u6027\u80fd\u573a\u666f\u53ef\u8bbe\u4e3a true<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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🌐 HTTP \u670d\u52a1<\/h3>\n\n\u53c2\u6570\u7528\u9014\u8bf4\u660e\u63a8\u8350\u503c\/\u4f7f\u7528\u5efa\u8bae<\/tr>\n\n\n\n\n\n\n\n\n
–host<\/td>\nHTTP \u670d\u52a1\u76d1\u542c\u5730\u5740<\/td>\n0.0.0.0（\u5bf9\u5916\u66b4\u9732）\u6216 127.0.0.1（\u4ec5\u672c\u5730）<\/td>\n<\/tr>\n
–port<\/td>\nHTTP \u670d\u52a1\u7aef\u53e3<\/td>\n30000（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–api-key<\/td>\n\u8bbe\u7f6e API \u8bbf\u95ee\u5bc6\u94a5（OpenAI \u517c\u5bb9）<\/td>\n\u751f\u4ea7\u73af\u5883\u5efa\u8bae\u8bbe\u7f6e<\/td>\n<\/tr>\n
–served-model-name<\/td>\n\u81ea\u5b9a\u4e49 \/v1\/models \u8fd4\u56de\u7684\u6a21\u578b\u540d<\/td>\n\u53ef\u7528\u4e8e\u9690\u85cf\u771f\u5b9e\u6a21\u578b\u540d<\/td>\n<\/tr>\n
–skip-server-warmup<\/td>\n\u8df3\u8fc7\u670d\u52a1\u5668\u9884\u70ed<\/td>\nfalse（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–warmups<\/td>\n\u81ea\u5b9a\u4e49\u9884\u70ed\u51fd\u6570（\u9017\u53f7\u5206\u9694）<\/td>\nwarmup_name1,warmup_name2<\/td>\n<\/tr>\n
–nccl-port<\/td>\nNCCL \u5206\u5e03\u5f0f\u73af\u5883\u7aef\u53e3<\/td>\n\u901a\u5e38\u4e0d\u8bbe\u7f6e，\u7531\u7cfb\u7edf\u81ea\u52a8\u5206\u914d<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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\u2699\ufe0f \u5e76\u884c\u4e0e\u5206\u5e03\u5f0f<\/h3>\n\n\u53c2\u6570\u7528\u9014\u8bf4\u660e\u63a8\u8350\u503c\/\u4f7f\u7528\u5efa\u8bae<\/tr>\n\n\n\n\n\n\n\n\n
–tensor-parallel-size \/ –tp-size<\/td>\n\u5f20\u91cf\u5e76\u884c GPU \u6570\u91cf<\/td>\n1（\u9ed8\u8ba4），\u6839\u636e GPU \u6570\u91cf\u8bbe\u7f6e（\u5982 –tp 2）<\/td>\n<\/tr>\n
–pipeline-parallel-size \/ –pp-size<\/td>\n\u6d41\u6c34\u7ebf\u5e76\u884c\u9636\u6bb5\u6570<\/td>\n1（\u9ed8\u8ba4），\u957f\u4e0a\u4e0b\u6587\u573a\u666f\u53ef\u8bbe\u4e3a 2-4<\/td>\n<\/tr>\n
–data-parallel-size \/ –dp-size<\/td>\n\u6570\u636e\u5e76\u884c GPU \u6570\u91cf<\/td>\n1（\u9ed8\u8ba4），\u5185\u5b58\u5145\u8db3\u65f6\u8bbe\u4e3a 2-4<\/td>\n<\/tr>\n
–nnodes<\/td>\n\u5206\u5e03\u5f0f\u8282\u70b9\u6570\u91cf<\/td>\n1（\u9ed8\u8ba4），\u591a\u8282\u70b9\u90e8\u7f72\u8bbe\u4e3a 2+<\/td>\n<\/tr>\n
–node-rank<\/td>\n\u8282\u70b9\u6392\u540d<\/td>\n0（\u4e3b\u8282\u70b9），\u5176\u4ed6\u8282\u70b9\u8bbe\u4e3a 1,2,…<\/td>\n<\/tr>\n
–dist-init-addr \/ –nccl-init-addr<\/td>\n\u5206\u5e03\u5f0f\u521d\u59cb\u5316\u5730\u5740（\u5982 192.168.0.2:25000）<\/td>\n\u4e3b\u8282\u70b9 IP \u548c\u7aef\u53e3<\/td>\n<\/tr>\n
–enable-p2p-check<\/td>\n\u542f\u7528 GPU P2P \u68c0\u67e5（\u89e3\u51b3\u591a GPU \u95ee\u9898）<\/td>\nfalse（\u9ed8\u8ba4），\u82e5\u62a5\u9519 \u201cpeer access not supported\u201d \u8bbe\u4e3a true<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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💾 \u5185\u5b58\u4e0e\u8c03\u5ea6<\/h3>\n\n\u53c2\u6570\u7528\u9014\u8bf4\u660e\u63a8\u8350\u503c\/\u4f7f\u7528\u5efa\u8bae<\/tr>\n\n\n\n\n\n\n\n\n\n\n
–mem-fraction-static<\/td>\n\u9759\u6001\u5185\u5b58（\u6743\u91cd + KV Cache）\u5360\u6bd4<\/td>\n0.9（\u9ed8\u8ba4），OOM \u65f6\u964d\u81f3 0.7<\/td>\n<\/tr>\n
–max-running-requests<\/td>\n\u6700\u5927\u5e76\u53d1\u8bf7\u6c42\u6570<\/td>\n\u81ea\u52a8\u8ba1\u7b97，\u901a\u5e38\u4e0d\u8bbe<\/td>\n<\/tr>\n
–max-queued-requests<\/td>\n\u6700\u5927\u6392\u961f\u8bf7\u6c42\u6570<\/td>\n\u81ea\u52a8\u8ba1\u7b97，\u901a\u5e38\u4e0d\u8bbe<\/td>\n<\/tr>\n
–chunked-prefill-size<\/td>\n\u5206\u5757\u9884\u586b\u5145\u5927\u5c0f（\u9632\u957f prompt OOM）<\/td>\n4096（\u63a8\u8350），\u8bbe\u4e3a -1 \u7981\u7528<\/td>\n<\/tr>\n
–max-prefill-tokens<\/td>\n\u9884\u586b\u5145\u6700\u5927 token \u6570<\/td>\n16384（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–schedule-policy<\/td>\n\u8bf7\u6c42\u8c03\u5ea6\u7b56\u7565：fcfs（\u9ed8\u8ba4）\u3001lpm\u3001random\u3001dfs-weight\u3001lof\u3001priority<\/td>\nfcfs（\u9ed8\u8ba4），\u9ad8\u4f18\u5148\u7ea7\u7528 priority<\/td>\n<\/tr>\n
–enable-priority-scheduling<\/td>\n\u542f\u7528\u4f18\u5148\u7ea7\u8c03\u5ea6<\/td>\nfalse（\u9ed8\u8ba4），\u9700\u914d\u5408 –schedule-policy priority<\/td>\n<\/tr>\n
–schedule-low-priority-values-first<\/td>\n\u4f4e\u4f18\u5148\u7ea7\u8bf7\u6c42\u4f18\u5148\u8c03\u5ea6<\/td>\nfalse（\u9ed8\u8ba4），\u9ed8\u8ba4\u9ad8\u4f18\u5148\u7ea7\u5148\u8c03\u5ea6<\/td>\n<\/tr>\n
–page-size<\/td>\nKV \u7f13\u5b58\u9875\u9762\u5927\u5c0f<\/td>\n1（\u9ed8\u8ba4）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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🔢 \u91cf\u5316\u4e0e\u6570\u636e\u7c7b\u578b<\/h3>\n\n\u53c2\u6570\u7528\u9014\u8bf4\u660e\u63a8\u8350\u503c\/\u4f7f\u7528\u5efa\u8bae<\/tr>\n\n\n\n\n\n\n
–dtype<\/td>\n\u6a21\u578b\u8ba1\u7b97\u7cbe\u5ea6：auto（\u9ed8\u8ba4，FP16\/BF16）\u3001half\u3001float16\u3001bfloat16\u3001float\u3001float32<\/td>\nauto（\u63a8\u8350）<\/td>\n<\/tr>\n
–quantization<\/td>\n\u91cf\u5316\u65b9\u6cd5：awq\u3001fp8\u3001gptq\u3001marlin\u3001bitsandbytes\u3001gguf<\/td>\nfp8（\u663e\u5b58\u8282\u7701，\u9700 CUDA 11.8+）<\/td>\n<\/tr>\n
–kv-cache-dtype<\/td>\nKV \u7f13\u5b58\u6570\u636e\u7c7b\u578b：auto\u3001fp8_e5m2\u3001fp8_e4m3<\/td>\nfp8_e5m2（\u63a8\u8350，\u8282\u7701\u663e\u5b58）<\/td>\n<\/tr>\n
–enable-fp32-lm-head<\/td>\nLM \u5934\u8f93\u51fa\u4e3a FP32（\u63d0\u5347\u7cbe\u5ea6）<\/td>\nfalse（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–torchao-config<\/td>\ntorchao \u91cf\u5316\u914d\u7f6e：int4wo-128\u3001int8wo\u3001fp8wo<\/td>\nint4wo-128（\u5b9e\u9a8c\u6027，\u5c0f\u6a21\u578b\u6709\u6548）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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🚀 \u6027\u80fd\u4f18\u5316<\/h3>\n\n\u53c2\u6570\u7528\u9014\u8bf4\u660e\u63a8\u8350\u503c\/\u4f7f\u7528\u5efa\u8bae<\/tr>\n\n\n\n\n\n\n\n\n\n\n
–attention-backend<\/td>\n\u6ce8\u610f\u529b\u5185\u6838\u540e\u7aef：triton\u3001torch_native\u3001flex_attention\u3001flashinfer\u3001fa3\u3001fa4<\/td>\nflashinfer（\u9ad8\u6027\u80fd）<\/td>\n<\/tr>\n
–prefill-attention-backend<\/td>\n\u9884\u586b\u5145\u6ce8\u610f\u529b\u540e\u7aef<\/td>\n\u901a\u5e38\u540c –attention-backend<\/td>\n<\/tr>\n
–decode-attention-backend<\/td>\n\u89e3\u7801\u6ce8\u610f\u529b\u540e\u7aef<\/td>\n\u901a\u5e38\u540c –attention-backend<\/td>\n<\/tr>\n
–sampling-backend<\/td>\n\u91c7\u6837\u5185\u6838\u540e\u7aef：flashinfer\u3001pytorch\u3001ascend<\/td>\nflashinfer（\u63a8\u8350）<\/td>\n<\/tr>\n
–enable-torch-compile<\/td>\n\u542f\u7528 torch.compile \u52a0\u901f<\/td>\nfalse（\u9ed8\u8ba4），\u5c0f\u6a21\u578b + \u5c0f batch \u6709\u6548<\/td>\n<\/tr>\n
–enable-deterministic-inference<\/td>\n\u542f\u7528\u786e\u5b9a\u6027\u63a8\u7406（\u7ed3\u679c\u53ef\u590d\u73b0）<\/td>\nfalse（\u9ed8\u8ba4），\u8c03\u8bd5\u65f6\u542f\u7528<\/td>\n<\/tr>\n
–disable-cuda-graph<\/td>\n\u7981\u7528 CUDA Graph（\u89e3\u51b3\u591a\u8282\u70b9\u6b7b\u9501）<\/td>\nfalse（\u9ed8\u8ba4），\u591a\u8282\u70b9 TP \u6b7b\u9501\u65f6\u8bbe\u4e3a true<\/td>\n<\/tr>\n
–num-continuous-decode-steps<\/td>\n\u8fde\u7eed\u89e3\u7801\u6b65\u9aa4\u6570<\/td>\n1（\u9ed8\u8ba4），\u8bbe\u4e3a 2-4 \u63d0\u5347\u541e\u5410<\/td>\n<\/tr>\n
–enable-mixed-chunk<\/td>\n\u542f\u7528\u6df7\u5408\u5206\u5757（prefill + decode）<\/td>\nfalse（\u9ed8\u8ba4）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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📊 \u65e5\u5fd7\u4e0e\u76d1\u63a7<\/h3>\n\n\u53c2\u6570\u7528\u9014\u8bf4\u660e\u63a8\u8350\u503c\/\u4f7f\u7528\u5efa\u8bae<\/tr>\n\n\n\n\n\n\n\n\n
–log-level<\/td>\n\u65e5\u5fd7\u7ea7\u522b：debug\u3001info\u3001warning\u3001error<\/td>\ninfo（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–log-requests<\/td>\n\u8bb0\u5f55\u8bf7\u6c42\u8f93\u5165\u8f93\u51fa<\/td>\nfalse（\u9ed8\u8ba4），\u8c03\u8bd5\u65f6\u8bbe\u4e3a true<\/td>\n<\/tr>\n
–log-requests-level<\/td>\n\u8bf7\u6c42\u65e5\u5fd7\u8be6\u7ec6\u7ea7\u522b：0（\u5143\u6570\u636e）\u30011（\u91c7\u6837\u53c2\u6570）\u30012（\u90e8\u5206\u8f93\u5165\/\u8f93\u51fa）\u30013（\u5b8c\u6574\u8f93\u5165\/\u8f93\u51fa）<\/td>\n2（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–enable-metrics<\/td>\n\u542f\u7528 Prometheus \u6307\u6807<\/td>\nfalse（\u9ed8\u8ba4），\u751f\u4ea7\u73af\u5883\u5efa\u8bae\u542f\u7528<\/td>\n<\/tr>\n
–enable-metrics-for-all-schedulers<\/td>\n\u4e3a\u6240\u6709\u8c03\u5ea6\u5668\u542f\u7528\u6307\u6807<\/td>\nfalse（\u9ed8\u8ba4），DP \u6ce8\u610f\u529b\u542f\u7528\u65f6\u8bbe\u4e3a true<\/td>\n<\/tr>\n
–crash-dump-folder<\/td>\n\u5d29\u6e83\u524d 5 \u5206\u949f\u8bf7\u6c42 dump \u76ee\u5f55<\/td>\n\u7528\u4e8e\u6545\u969c\u6392\u67e5<\/td>\n<\/tr>\n
–enable-trace<\/td>\n\u542f\u7528 OpenTelemetry \u8ddf\u8e2a<\/td>\nfalse（\u9ed8\u8ba4）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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🧠 \u9ad8\u7ea7\u529f\u80fd<\/h3>\n\n\u53c2\u6570\u7528\u9014\u8bf4\u660e\u63a8\u8350\u503c\/\u4f7f\u7528\u5efa\u8bae<\/tr>\n\n\n\n\n\n\n\n\n\n\n
–enable-lora<\/td>\n\u542f\u7528 LoRA \u652f\u6301<\/td>\nfalse（\u9ed8\u8ba4），\u9700\u914d\u5408 –lora-paths<\/td>\n<\/tr>\n
–lora-paths<\/td>\nLoRA \u9002\u914d\u5668\u8def\u5f84\u5217\u8868<\/td>\n["lora_path1", "lora_path2"]<\/td>\n<\/tr>\n
–enable-hierarchical-cache<\/td>\n\u542f\u7528\u5206\u5c42 KV \u7f13\u5b58（CPU-GPU）<\/td>\nfalse（\u9ed8\u8ba4），\u663e\u5b58\u4e0d\u8db3\u65f6\u542f\u7528<\/td>\n<\/tr>\n
–hicache-ratio<\/td>\n\u4e3b\u673a KV \u7f13\u5b58\u5185\u5b58\u6c60\u6bd4\u4f8b<\/td>\n2.0（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–speculative-algorithm<\/td>\n\u63a8\u6d4b\u89e3\u7801\u7b97\u6cd5：EAGLE\u3001EAGLE3\u3001NEXTN\u3001STANDALONE\u3001NGRAM<\/td>\nEAGLE（\u63a8\u8350）<\/td>\n<\/tr>\n
–speculative-draft-model-path<\/td>\n\u8349\u7a3f\u6a21\u578b\u8def\u5f84<\/td>\nmeta-llama\/Meta-Llama-3-8B（\u9700\u642d\u914d\u4e3b\u6a21\u578b）<\/td>\n<\/tr>\n
–enable-lmcache<\/td>\n\u4f7f\u7528 LMCache \u4f5c\u4e3a\u5206\u5c42\u7f13\u5b58<\/td>\nfalse（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–enable-double-sparsity<\/td>\n\u542f\u7528\u53cc\u7a00\u758f\u6ce8\u610f\u529b<\/td>\nfalse（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–enable-pdmux<\/td>\n\u542f\u7528 PD-Multiplexing<\/td>\nfalse（\u9ed8\u8ba4）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

📄 \u914d\u7f6e\u6587\u4ef6\u4e0e\u90e8\u7f72<\/h3>\n\n\u53c2\u6570\u7528\u9014\u8bf4\u660e\u63a8\u8350\u503c\/\u4f7f\u7528\u5efa\u8bae<\/tr>\n\n\n\n\n\n
–config<\/td>\n\u4ece YAML \u914d\u7f6e\u6587\u4ef6\u52a0\u8f7d\u53c2\u6570<\/td>\nconfig.yaml（\u63a8\u8350\u751f\u4ea7\u73af\u5883\u4f7f\u7528）<\/td>\n<\/tr>\n
–enable-priority-scheduling<\/td>\n\u542f\u7528\u4f18\u5148\u7ea7\u8c03\u5ea6<\/td>\nfalse（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–max-loras-per-batch<\/td>\n\u5355\u6279\u6700\u5927 LoRA \u6570<\/td>\n8（\u9ed8\u8ba4）<\/td>\n<\/tr>\n
–max-loaded-loras<\/td>\n\u6700\u5927\u52a0\u8f7d\u7684 LoRA \u6570<\/td>\n>= –max-loras-per-batch<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\u26a0\ufe0f \u91cd\u8981\u63d0\u793a<\/h3>\n
  • OOM \u95ee\u9898：\u82e5\u51fa\u73b0\u5185\u5b58\u4e0d\u8db3\u9519\u8bef，\u4f18\u5148\u5c1d\u8bd5：\n
      \n
    • \u964d\u4f4e –mem-fraction-static（\u5982 0.7）<\/li>\n
    • \u542f\u7528 –chunked-prefill-size 4096<\/li>\n
    • \u51cf\u5c11 –max-running-requests<\/li>\n<\/ul>\n<\/li>\n
    • \u591a GPU \u90e8\u7f72：\n
        \n
      • \u5148\u7528 –tp（\u5f20\u91cf\u5e76\u884c），\u518d\u8003\u8651 –dp（\u6570\u636e\u5e76\u884c）<\/li>\n
      • \u591a\u8282\u70b9\u90e8\u7f72\u9700\u914d\u5408 –nnodes\u3001–node-rank \u548c –dist-init-addr<\/li>\n<\/ul>\n<\/li>\n
      • \u751f\u4ea7\u73af\u5883\u5efa\u8bae：\n
          \n
        • \u542f\u7528 –enable-metrics<\/li>\n
        • \u8bbe\u7f6e –api-key<\/li>\n
        • \u4f7f\u7528 –config \u914d\u7f6e\u6587\u4ef6\u7ba1\u7406\u53c2\u6570<\/li>\n
        • \u9002\u5f53\u8c03\u6574 –mem-fraction-static \u4ee5\u5e73\u8861\u541e\u5410\u548c\u5185\u5b58<\/li>\n<\/ul>\n<\/li>\n
        • \u6027\u80fd\u4f18\u5316：\n
            \n
          • \u5bf9\u4e8e\u5927\u6a21\u578b，\u4f18\u5148\u4f7f\u7528 –attention-backend flashinfer<\/li>\n
          • \u5c0f\u6a21\u578b + \u5c0f batch \u53ef\u5c1d\u8bd5 –enable-torch-compile<\/li>\n
          • \u957f\u4e0a\u4e0b\u6587\u573a\u666f\u8003\u8651 –enable-hierarchical-cache<\/li>\n<\/ul>\n<\/li>\n

            📌 \u6ce8\u610f：\u4ee5\u4e0a\u53c2\u6570\u503c\u4e3a\u63a8\u8350\u503c，\u5b9e\u9645\u4f7f\u7528\u4e2d\u9700\u6839\u636e\u5177\u4f53\u786c\u4ef6\u3001\u6a21\u578b\u548c\u8d1f\u8f7d\u8fdb\u884c\u8c03\u6574\u3002\u5efa\u8bae\u4ece\u9ed8\u8ba4\u53c2\u6570\u5f00\u59cb，\u9010\u6b65\u4f18\u5316\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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            \n\u53c2\u6570\u7528\u9014\u8bf4\u660e\u63a8\u8350\u503c\/\u4f7f\u7528\u5efa\u8bae–model-path \/ –model\u6307\u5b9a\u6a21\u578b\u6743\u91cd\u8def\u5f84（\u672c\u5730\u76ee\u5f55\u6216 Hugging Face repo ID）meta-llama\/Meta-Llama-3-8B-Instruct（\u5fc5\u586b<\/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":[6994,43,44],"topic":[],"class_list":["post-66161","post","type-post","status-publish","format-standard","hentry","category-server","tag-sglang","tag-43","tag-44"],"yoast_head":"\nSGLang \u670d\u52a1\u5668\u542f\u52a8\u53c2\u6570\u5b8c\u6574\u603b\u7ed3 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/66161.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SGLang \u670d\u52a1\u5668\u542f\u52a8\u53c2\u6570\u5b8c\u6574\u603b\u7ed3 - 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