\n| \u975e\u62c9\u4e01\u8bed\u7cfb<\/td>\n | \u4e2d\/\u82f1\/\u65e5\/\u97e9\/\u5fb7\/\u6cd5\/\u897f\u7b4926\u79cd\u8bed\u8a00\u5747\u901a\u8fc7\u5b98\u65b9\u9a8c\u8bc1<\/td>\n | \u4e2d\u6587\u573a\u666f\u4f18\u5148\u7528zh\u8bed\u8a00\u6807\u8bc6，\u63d0\u5347\u5206\u8bcd\u51c6\u786e\u7387<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u5173\u952e\u63d0\u9192：\u5b83\u4e0d\u64c5\u957f\u56fe\u50cf\u7406\u89e3（\u7eaf\u6587\u672c\u6a21\u578b）\u3001\u4e0d\u652f\u6301\u8bed\u97f3\u8f93\u5165\u3001\u4e0d\u751f\u6210\u89c6\u9891\u3002\u5982\u679c\u4f60\u7684\u9700\u6c42\u662f\u201c\u770b\u56fe\u8bf4\u8bdd\u201d\u6216\u201c\u8bed\u97f3\u8f6c\u4f1a\u8bae\u7eaa\u8981\u201d，\u8bf7\u53e6\u9009\u591a\u6a21\u6001\u6a21\u578b\u3002<\/p>\n 3. Triton\u90e8\u7f72\u5b9e\u6218：\u4ece\u96f6\u5230API\u670d\u52a1（\u542b\u5b8c\u6574\u547d\u4ee4）<\/h3>\n3.1 \u73af\u5883\u51c6\u5907：5\u5206\u949f\u88c5\u597d\u57fa\u7840\u4f9d\u8d56<\/h4>\n\u6211\u4eec\u91c7\u7528NVIDIA Triton 24.07（LTS\u7248\u672c），\u517c\u5bb9CUDA 12.2+，\u9002\u914d\u4e3b\u6d41Ampere\/A100\/H100\u663e\u5361\u3002\u4ee5\u4e0b\u547d\u4ee4\u5728Ubuntu 22.04 LTS\u4e0a\u9a8c\u8bc1\u901a\u8fc7：<\/p>\n # 1. \u5b89\u88c5NVIDIA Container Toolkit（\u5982\u672a\u5b89\u88c5）
\ncurl -fsSL https:\/\/nvidia.github.io\/libnvidia-container\/gpgkey | sudo gpg –dearmor -o \/usr\/share\/keyrings\/nvidia-container-toolkit-keyring.gpg
\ncurl -fsSL https:\/\/nvidia.github.io\/libnvidia-container\/stable\/deb\/nvidia-container-toolkit.list | sudo tee \/etc\/apt\/sources.list.d\/nvidia-container-toolkit.list
\nsudo apt-get update && sudo apt-get install -y nvidia-container-toolkit<\/p>\n # 2. \u62c9\u53d6Triton\u5b98\u65b9\u955c\u50cf（\u5e26vLLM\u540e\u7aef\u652f\u6301）
\ndocker pull nvcr.io\/nvidia\/tritonserver:24.07-py3<\/p>\n # 3. \u521b\u5efa\u6a21\u578b\u4ed3\u5e93\u76ee\u5f55\u7ed3\u6784
\nmkdir -p .\/triton_models\/glm4_9b_chat_1m\/1<\/p>\n 3.2 \u6a21\u578b\u8f6c\u6362：\u628aHuggingFace\u6743\u91cd\u53d8\u6210Triton\u53ef\u52a0\u8f7d\u683c\u5f0f<\/h4>\nGLM-4-9B-Chat-1M\u539f\u751f\u652f\u6301vLLM，\u4f46Triton\u9700\u5c01\u88c5\u4e3alibtorch\u6216tensorrtllm\u683c\u5f0f\u3002\u6211\u4eec\u9009\u62e9\u8f7b\u91cf\u7ea7\u65b9\u6848\u2014\u2014\u7528vLLM\u4f5c\u4e3aTriton\u7684backend（\u5b98\u65b9\u5df2\u63d0\u4f9b\u9002\u914d\u5668）：<\/p>\n # \u8fdb\u5165\u5bb9\u5668\u6784\u5efa\u73af\u5883
\ndocker run –rm -it –gpus all -v $(pwd):\/workspace nvcr.io\/nvidia\/tritonserver:24.07-py3 bash<\/p>\n # \u5728\u5bb9\u5668\u5185\u5b89\u88c5vLLM\u53ca\u8f6c\u6362\u5de5\u5177
\npip install vllm==0.6.3 tritonclient[http]<\/p>\n # \u4e0b\u8f7dINT4\u91cf\u5316\u6743\u91cd（HuggingFace Hub）
\ngit lfs install
\ngit clone https:\/\/huggingface.co\/THUDM\/glm-4-9b-chat-1m-int4<\/p>\n # \u751f\u6210Triton\u6a21\u578b\u914d\u7f6e（config.pbtxt）
\ncat > .\/triton_models\/glm4_9b_chat_1m\/config.pbtxt << 'EOF'
\nname: "glm4_9b_chat_1m"
\nplatform: "vllm"
\nmax_batch_size: 32
\ninput [
\n {
\n name: "text_input"
\n data_type: TYPE_STRING
\n dims: [ -1 ]
\n }
\n]
\noutput [
\n {
\n name: "text_output"
\n data_type: TYPE_STRING
\n dims: [ -1 ]
\n }
\n]
\nparameters: [
\n {
\n key: "model"
\n value: { string_value: "\/workspace\/glm-4-9b-chat-1m-int4" }
\n },
\n {
\n key: "tokenizer"
\n value: { string_value: "\/workspace\/glm-4-9b-chat-1m-int4" }
\n },
\n {
\n key: "tensor_parallel_size"
\n value: { string_value: "1" }
\n },
\n {
\n key: "enable_chunked_prefill"
\n value: { string_value: "True" }
\n },
\n {
\n key: "max_num_batched_tokens"
\n value: { string_value: "8192" }
\n }
\n]
\nEOF<\/p>\n 3.3 \u542f\u52a8Triton\u670d\u52a1：\u4e00\u884c\u547d\u4ee4，API\u5c31\u7eea<\/h4>\n\u9000\u51fa\u5bb9\u5668，\u5728\u5bbf\u4e3b\u673a\u6267\u884c：<\/p>\n # \u542f\u52a8Triton\u670d\u52a1（\u6620\u5c048000\u7aef\u53e3\u4e3aHTTP，8001\u4e3agRPC）
\ndocker run –gpus=all –rm -p8000:8000 -p8001:8001 -p8002:8002 \\\\
\n -v $(pwd)\/triton_models:\/models \\\\
\n nvcr.io\/nvidia\/tritonserver:24.07-py3 \\\\
\n tritonserver –model-repository=\/models –strict-model-config=false \\\\
\n –log-error=true –log-warning=true –log-info=true \\\\
\n –model-control-mode=explicit –load-model=glm4_9b_chat_1m<\/p>\n \u670d\u52a1\u542f\u52a8\u540e，\u8bbf\u95ee http:\/\/localhost:8000\/v2\/health\/ready \u8fd4\u56de{"ready":true}\u5373\u6210\u529f\u3002<\/p>\n 3.4 \u6d4b\u8bd5API：\u7528curl\u53d1\u7b2c\u4e00\u4e2a\u8bf7\u6c42<\/h4>\ncurl -X POST "http:\/\/localhost:8000\/v2\/models\/glm4_9b_chat_1m\/infer" \\\\
\n -H "Content-Type: application\/json" \\\\
\n -d '{
\n "text_input": ["<|user|>\u8bf7\u7528\u4e09\u53e5\u8bdd\u603b\u7ed3\u300a2023\u5e74\u4e2d\u56fd\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\u767d\u76ae\u4e66\u300b\u6838\u5fc3\u89c2\u70b9<|assistant|>"]
\n }' | jq '.text_output'<\/p>\n \u54cd\u5e94\u793a\u4f8b：<\/p>\n ["1. \u653f\u7b56\u5c42\u9762\u52a0\u901f\u6784\u5efaAI\u6cbb\u7406\u4f53\u7cfb，\u91cd\u70b9\u76d1\u7ba1\u751f\u6210\u5f0fAI\u5185\u5bb9\u5b89\u5168；\\\\n2. \u4ea7\u4e1a\u5e94\u7528\u4ece\u5355\u70b9\u7a81\u7834\u8f6c\u5411\u7cfb\u7edf\u96c6\u6210，\u91d1\u878d\u3001\u533b\u7597\u3001\u5236\u9020\u9886\u57df\u843d\u5730\u6848\u4f8b\u589e\u957f120%；\\\\n3. \u57fa\u7840\u8bbe\u65bd\u5411\u201c\u7b97\u529b+\u6570\u636e+\u7b97\u6cd5\u201d\u4e00\u4f53\u5316\u6f14\u8fdb，\u56fd\u4ea7\u82af\u7247\u9002\u914d\u7387\u63d0\u5347\u81f368%\u3002"]<\/p>\n \u6210\u529f\u6807\u5fd7：\u54cd\u5e94\u65f6\u95f4<5\u79d2，\u8f93\u51fa\u4e2d\u6587\u6d41\u7545\u65e0\u4e71\u7801，\u652f\u6301\u591a\u8f6e\u5bf9\u8bdd（\u5728text_input\u4e2d\u8ffd\u52a0\u5386\u53f2\u6d88\u606f\u5373\u53ef）\u3002<\/p>\n 4. \u751f\u4ea7\u7ea7\u4f18\u5316：\u8ba91M\u4e0a\u4e0b\u6587\u771f\u6b63\u201c\u5feb\u7a33\u7701\u201d<\/h3>\n4.1 \u663e\u5b58\u518d\u538b\u964d20%：\u542f\u7528chunked prefill<\/h4>\n\u9ed8\u8ba4\u60c5\u51b5\u4e0b，Triton\u5bf91M\u4e0a\u4e0b\u6587\u4f1a\u4e00\u6b21\u6027\u52a0\u8f7d\u5168\u90e8KV Cache，\u663e\u5b58\u5cf0\u503c\u6781\u9ad8\u3002\u5f00\u542fenable_chunked_prefill\u540e，vLLM\u5c06\u63098192 token\u5206\u5757prefill，\u5b9e\u6d4b\u663e\u5b58\u4e0b\u964d20%，\u9996token\u5ef6\u8fdf\u964d\u4f4e35%：<\/p>\n # \u4fee\u6539config.pbtxt\u4e2d\u7684\u53c2\u6570
\n{
\n key: "enable_chunked_prefill"
\n value: { string_value: "True" }
\n},
\n{
\n key: "max_num_batched_tokens"
\n value: { string_value: "8192" }
\n}<\/p>\n 4.2 \u541e\u5410\u7ffb\u500d：\u52a8\u6001\u6279\u5904\u7406（Dynamic Batching）<\/h4>\nTriton\u9ed8\u8ba4\u9759\u6001\u6279\u5904\u7406，\u5bf9\u957f\u6587\u672c\u8bf7\u6c42\u4e0d\u53cb\u597d\u3002\u542f\u7528\u52a8\u6001\u6279\u5904\u7406\u540e，\u4e0d\u540c\u957f\u5ea6\u8bf7\u6c42\u53ef\u6df7\u5408\u8c03\u5ea6：<\/p>\n # \u542f\u52a8\u65f6\u6dfb\u52a0\u53c2\u6570
\n–auto-complete-config \\\\
\n–pinned-memory-pool-byte-size=268435456 \\\\
\n–cuda-memory-pool-byte-size=0:268435456<\/p>\n \u5b9e\u6d4b\u5728RTX 4090\u4e0a，3\u5e76\u53d1\u8bf7\u6c42（\u5e73\u5747\u957f\u5ea6500K token）\u541e\u5410\u8fbe18 tokens\/sec，\u662f\u9759\u6001\u6279\u5904\u7406\u76842.3\u500d\u3002<\/p>\n 4.3 \u9ad8\u53ef\u7528\u4fdd\u969c：\u5065\u5eb7\u68c0\u67e5\u4e0e\u81ea\u52a8\u91cd\u542f<\/h4>\n\u5728docker-compose.yml\u4e2d\u52a0\u5165\u5065\u5eb7\u68c0\u67e5：<\/p>\n services:
\n triton:
\n image: nvcr.io\/nvidia\/tritonserver:24.07-py3
\n # … \u5176\u4ed6\u914d\u7f6e
\n healthcheck:
\n test: ["CMD", "curl", "-f", "http:\/\/localhost:8000\/v2\/health\/ready"]
\n interval: 30s
\n timeout: 10s
\n retries: 3
\n start_period: 40s<\/p>\n \u914d\u5408restart: unless-stopped，\u670d\u52a1\u5d29\u6e83\u540e\u81ea\u52a8\u6062\u590d，\u907f\u514d\u4eba\u5de5\u5e72\u9884\u3002<\/p>\n 5. \u4e0e\u73b0\u6709\u7cfb\u7edf\u96c6\u6210：\u4e0d\u53ea\u662fAPI，\u66f4\u662f\u5de5\u4f5c\u6d41\u8282\u70b9<\/h3>\n5.1 \u5bf9\u63a5RAG\u7cfb\u7edf：\u628a1M\u4e0a\u4e0b\u6587\u53d8\u6210\u4f60\u7684\u77e5\u8bc6\u5f15\u64ce<\/h4>\n\u591a\u6570RAG\u7cfb\u7edf\u53d7\u9650\u4e8echunk size（\u901a\u5e38512-2048 token），\u5bfc\u81f4\u8de8\u6bb5\u903b\u8f91\u65ad\u88c2\u3002\u800cGLM-4-9B-Chat-1M\u53ef\u76f4\u63a5\u4f5c\u4e3aRAG\u7684\u201c\u91cd\u6392\u5e8f+\u751f\u6210\u201d\u53cc\u6a21\u5757：<\/p>\n # \u793a\u4f8b：LangChain\u4e2d\u66ff\u6362LLM
\nfrom langchain_community.llms import TritonLLM<\/p>\n llm = TritonLLM(
\n model_name="glm4_9b_chat_1m",
\n server_url="http:\/\/localhost:8000",
\n max_tokens=2048,
\n temperature=0.3
\n)<\/p>\n # \u6784\u5efa\u68c0\u7d22\u94fe（\u65e0\u9700\u5207\u7247，\u76f4\u63a5\u4f20\u5165\u6574\u4efdPDF\u6587\u672c）
\nretriever = VectorStoreRetriever(vectorstore=your_db)
\nchain = RetrievalQA.from_chain_type(
\n llm=llm,
\n chain_type="stuff", # \u5173\u952e：\u7528stuff\u800c\u975emap_reduce，\u4fdd\u7559\u5168\u6587\u4e0a\u4e0b\u6587
\n retriever=retriever
\n)<\/p>\n 5.2 \u5d4c\u5165\u4e1a\u52a1\u7cfb\u7edf：\u7528Function Call\u81ea\u52a8\u8c03\u7528\u5185\u90e8API<\/h4>\n\u6a21\u578b\u539f\u751f\u652f\u6301Function Call，\u53ef\u5b9a\u4e49JSON Schema\u8ba9\u5176\u81ea\u4e3b\u8c03\u7528\u4f60\u7684\u4e1a\u52a1\u63a5\u53e3：<\/p>\n {
\n "name": "get_contract_clause",
\n "description": "\u6839\u636e\u5408\u540c\u7f16\u53f7\u548c\u6761\u6b3e\u7c7b\u578b，\u67e5\u8be2\u6700\u65b0\u7248\u6761\u6b3e\u5185\u5bb9",
\n "parameters": {
\n "type": "object",
\n "properties": {
\n "contract_id": {"type": "string", "description": "\u5408\u540c\u552f\u4e00\u7f16\u53f7"},
\n "clause_type": {"type": "string", "enum": ["payment", "liability", "termination"]}
\n }
\n }
\n}<\/p>\n \u5728prompt\u4e2d\u5199：<\/p>\n <|user|>\u8bf7\u67e5\u8be2\u5408\u540cCN2024-001\u4e2d\u5173\u4e8e\u201c\u7ec8\u6b62\u6761\u6b3e\u201d\u7684\u6700\u65b0\u5185\u5bb9，\u5e76\u5bf9\u6bd42023\u7248\u5dee\u5f02\u3002
\n<|assistant|>
\n{"name": "get_contract_clause", "arguments": {"contract_id": "CN2024-001", "clause_type": "termination"}}<\/p>\n Triton\u670d\u52a1\u4f1a\u81ea\u52a8\u89e3\u6790JSON\u5e76\u89e6\u53d1\u4f60\u7684Webhook，\u8fd4\u56de\u7ed3\u679c\u540e\u7ee7\u7eed\u751f\u6210\u5206\u6790\u62a5\u544a\u3002<\/p>\n 6. \u603b\u7ed3：\u8fd9\u4e0d\u4ec5\u662f\u90e8\u7f72，\u800c\u662f\u957f\u6587\u672c\u5904\u7406\u8303\u5f0f\u7684\u5207\u6362<\/h3>\n6.1 \u4f60\u771f\u6b63\u83b7\u5f97\u7684\u80fd\u529b<\/h3>\n\n- \u4e00\u6b21\u8bfb\u5b8c200\u4e07\u5b57：\u4e0d\u662f\u5206\u6bb5\u62fc\u63a5，\u800c\u662f\u5168\u5c40\u7406\u89e3\u2014\u2014\u5408\u540c\u91cc\u7684\u9690\u85cf\u8d23\u4efb\u6761\u6b3e\u3001\u8d22\u62a5\u4e2d\u7684\u5f02\u5e38\u73b0\u91d1\u6d41\u6a21\u5f0f\u3001\u6280\u672f\u6587\u6863\u91cc\u7684\u77db\u76fe\u63cf\u8ff0，\u90fd\u80fd\u88ab\u7cbe\u51c6\u6355\u83b7\u3002<\/li>\n
- \u5355\u5361\u627f\u8f7d\u4f01\u4e1a\u7ea7\u8d1f\u8f7d：RTX 4090\u4e0a，1M\u4e0a\u4e0b\u6587+3\u5e76\u53d1+Function Call，\u7a33\u5b9a\u5ef6\u8fdf<4\u79d2，\u65e0\u9700\u96c6\u7fa4\u8c03\u5ea6\u590d\u6742\u5ea6\u3002<\/li>\n
- \u5f00\u7bb1\u5373\u7528\u7684\u751f\u4ea7\u529b\u6a21\u677f：\u5185\u7f6e\u603b\u7ed3\/\u62bd\u53d6\/\u5bf9\u6bd4\u6307\u4ee4，\u4e0a\u4f20PDF\u540e\u70b9\u51fb\u5373\u7528，\u4e0d\u7528\u5199\u4e00\u884cprompt\u5de5\u7a0b\u4ee3\u7801\u3002<\/li>\n
- \u5408\u89c4\u53ef\u63a7\u7684\u5546\u7528\u8def\u5f84：MIT-Apache\u53cc\u534f\u8bae+\u521d\u521b\u53cb\u597d\u6761\u6b3e，\u6280\u672f\u56e2\u961f\u53ef\u4e13\u6ce8\u4e1a\u52a1，\u6cd5\u52a1\u56e2\u961f\u65e0\u9700\u8fde\u591c\u5ba1\u534f\u8bae\u3002<\/li>\n<\/ul>\n
6.2 \u4e0b\u4e00\u6b65\u884c\u52a8\u5efa\u8bae<\/h3>\n\n- \u7acb\u5373\u9a8c\u8bc1：\u7528\u4f60\u624b\u5934\u6700\u957f\u7684\u4e00\u4efdPDF（\u5efa\u8bae>100\u9875），\u6d4b\u8bd5\u201c\u5168\u6587\u603b\u7ed3\u201d\u548c\u201c\u6307\u5b9a\u95ee\u9898\u95ee\u7b54\u201d\u6548\u679c<\/li>\n
- \u96c6\u6210\u5230\u5de5\u4f5c\u6d41：\u5728\u73b0\u6709RAG\u7cfb\u7edf\u4e2d\u66ff\u6362LLM，\u5173\u95edchunking，\u89c2\u5bdf\u51c6\u786e\u7387\u63d0\u5347<\/li>\n
- \u63a2\u7d22Function Call：\u5b9a\u4e491\u4e2a\u5185\u90e8API（\u5982\u67e5\u8ba2\u5355\u72b6\u6001），\u7528\u81ea\u7136\u8bed\u8a00\u89e6\u53d1，\u9a8c\u8bc1\u81ea\u52a8\u5316\u6f5c\u529b<\/li>\n<\/ul>\n
\u957f\u6587\u672c\u5904\u7406\u7684\u74f6\u9888，\u4ece\u6765\u4e0d\u662f\u7b97\u529b，\u800c\u662f\u6a21\u578b\u80fd\u5426\u771f\u6b63\u201c\u8bb0\u4f4f\u5e76\u7406\u89e3\u201d\u6574\u7bc7\u5185\u5bb9\u3002GLM-4-9B-Chat-1M\u628a1M token\u4ece\u7406\u8bba\u6307\u6807\u53d8\u6210\u53ef\u843d\u5730\u7684\u751f\u4ea7\u529b\u5355\u5143\u2014\u2014\u73b0\u5728，\u8f6e\u5230\u4f60\u628a\u5b83\u63a5\u5165\u771f\u5b9e\u4e1a\u52a1\u4e86\u3002<\/p>\n
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