\u4f5c\u4e3a\u521d\u521b\u516c\u53f8\u7684CTO，\u4f60\u662f\u5426\u7ecf\u5e38\u9762\u4e34\u8fd9\u6837\u7684\u56f0\u5883：\u65e2\u60f3\u7528\u4e0a\u6700\u65b0\u7684\u5927\u6a21\u578b\u6280\u672f\u8d4b\u80fd\u4e1a\u52a1，\u53c8\u62c5\u5fc3\u81ea\u5efa\u670d\u52a1\u5668\u7684\u9ad8\u6602\u6210\u672c\u548c\u8fd0\u7ef4\u538b\u529b？Qwen2.5-7B\u4f5c\u4e3a\u901a\u4e49\u5343\u95ee\u6700\u65b0\u5f00\u6e90\u7684\u4e2d\u7b49\u89c4\u6a21\u8bed\u8a00\u6a21\u578b，\u5728\u6027\u4ef7\u6bd4\u548c\u6027\u80fd\u4e4b\u95f4\u53d6\u5f97\u4e86\u5f88\u597d\u7684\u5e73\u8861，\u4f46\u5982\u4f55\u6258\u7ba1\u5b83\u5374\u662f\u4e2a\u6280\u672f\u96be\u9898\u3002<\/p>\n
\u4f20\u7edf\u81ea\u5efa\u670d\u52a1\u5668\u65b9\u6848\u4e0d\u4ec5\u9700\u8981\u8d2d\u4e70\u6602\u8d35\u7684GPU\u8bbe\u5907，\u8fd8\u8981\u914d\u5907\u4e13\u4e1a\u8fd0\u7ef4\u56e2\u961f，\u5bf9\u4e8e\u521d\u521b\u516c\u53f8\u6765\u8bf4\u8d1f\u62c5\u592a\u91cd\u3002\u800c\u901a\u8fc7CSDN\u661f\u56fe\u955c\u50cf\u5e7f\u573a\u63d0\u4f9b\u7684\u9884\u7f6eQwen2.5-7B\u955c\u50cf，\u4f60\u53ef\u4ee5\u50cf\u4f7f\u7528\u4e91\u670d\u52a1\u4e00\u6837\u8f7b\u677e\u90e8\u7f72\u5927\u6a21\u578b，\u65e2\u7701\u53bb\u4e86\u786c\u4ef6\u6295\u5165，\u53c8\u80fd\u6839\u636e\u4e1a\u52a1\u9700\u6c42\u5f39\u6027\u6269\u5c55\u3002\u4e0b\u9762\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u79cd\u6258\u7ba1\u65b9\u6848\u7684\u4f18\u52bf\u548c\u5177\u4f53\u5b9e\u65bd\u6b65\u9aa4\u3002<\/p>\n
\u81ea\u5efa\u670d\u52a1\u5668\u9700\u8981\u8003\u8651\u4ee5\u4e0b\u6210\u672c： – GPU\u670d\u52a1\u5668\u91c7\u8d2d\u6210\u672c（\u5355\u53f0\u914d\u5907NVIDIA T4\u7684\u670d\u52a1\u5668\u7ea63-5\u4e07\u5143） – \u673a\u623f\u6258\u7ba1\u8d39\u7528（\u6bcf\u5e74\u7ea61-2\u4e07\u5143） – \u8fd0\u7ef4\u4eba\u5458\u85aa\u8d44（\u81f3\u5c111\u540d\u4e13\u804c\u5de5\u7a0b\u5e08） – \u7535\u529b\u7b49\u57fa\u7840\u8bbe\u65bd\u6210\u672c<\/p>\n
\u800c\u4f7f\u7528\u6258\u7ba1\u65b9\u6848，\u4f60\u53ea\u9700\u6309\u5b9e\u9645\u4f7f\u7528\u65f6\u957f\u4ed8\u8d39，\u8d77\u6b65\u9636\u6bb5\u53ef\u80fd\u6bcf\u6708\u53ea\u9700\u51e0\u767e\u5143，\u6210\u672c\u964d\u4f4e90%\u4ee5\u4e0a\u3002<\/p>\n
\u81ea\u5efa\u670d\u52a1\u5668\u9700\u8981： – \u642d\u5efaCUDA\u73af\u5883 – \u914d\u7f6e\u6a21\u578b\u63a8\u7406\u6846\u67b6 – \u5904\u7406\u6a21\u578b\u6743\u91cd\u4e0b\u8f7d\u548c\u52a0\u8f7d – \u4f18\u5316GPU\u8d44\u6e90\u5229\u7528\u7387<\/p>\n
\u6258\u7ba1\u65b9\u6848\u5219\u63d0\u4f9b\u5f00\u7bb1\u5373\u7528\u7684\u73af\u5883，\u5df2\u7ecf\u9884\u88c5\u4e86： – \u6700\u65b0\u7248PyTorch\u548cCUDA – vLLM\u7b49\u9ad8\u6027\u80fd\u63a8\u7406\u6846\u67b6 – \u9884\u4e0b\u8f7d\u7684Qwen2.5-7B\u6a21\u578b\u6743\u91cd – \u4f18\u5316\u597d\u7684\u9ed8\u8ba4\u53c2\u6570\u914d\u7f6e<\/p>\n
\u4f60\u53ea\u9700\u8981： 1. \u6ce8\u518cCSDN\u661f\u56fe\u8d26\u53f7 2. \u51c6\u5907\u652f\u6301GPU\u7684\u4e91\u73af\u5883（\u63a8\u8350\u4f7f\u7528\u5e73\u53f0\u63d0\u4f9b\u7684GPU\u8d44\u6e90） 3. \u786e\u4fdd\u7f51\u7edc\u8fde\u63a5\u7a33\u5b9a<\/p>\n
\u5728CSDN\u661f\u56fe\u955c\u50cf\u5e7f\u573a\u627e\u5230Qwen2.5-7B\u955c\u50cf\u540e：<\/p>\n
# \u9009\u62e9\u9002\u5408\u7684GPU\u89c4\u683c（7B\u6a21\u578b\u5efa\u8bae\u81f3\u5c1116GB\u663e\u5b58）
\n# \u70b9\u51fb"\u4e00\u952e\u90e8\u7f72"\u6309\u94ae
\n# \u7b49\u5f85\u7ea62-5\u5206\u949f\u5b8c\u6210\u73af\u5883\u521d\u59cb\u5316<\/p>\n
\u90e8\u7f72\u5b8c\u6210\u540e，\u4f60\u4f1a\u83b7\u5f97\u4e00\u4e2a\u53ef\u8bbf\u95ee\u7684API\u7aef\u70b9，\u5f62\u5982： http:\/\/your-instance-address:8000\/v1\/completions<\/p>\n
\u4f7f\u7528\u7b80\u5355\u7684curl\u547d\u4ee4\u6d4b\u8bd5：<\/p>\n
curl http:\/\/your-instance-address:8000\/v1\/completions \\\\
\n -H "Content-Type: application\/json" \\\\
\n -d '{
\n "model": "Qwen2.5-7B",
\n "prompt": "\u8bf7\u4ecb\u7ecd\u4e00\u4e0bQwen2.5-7B\u6a21\u578b\u7684\u7279\u70b9",
\n "max_tokens": 100
\n }'<\/p>\n
\u5982\u679c\u8fd4\u56de\u7c7b\u4f3c\u4e0b\u9762\u7684\u54cd\u5e94，\u8bf4\u660e\u670d\u52a1\u5df2\u5c31\u7eea：<\/p>\n
{
\n "choices": [
\n {
\n "text": "Qwen2.5-7B\u662f\u901a\u4e49\u5343\u95ee\u56e2\u961f\u5f00\u53d1\u7684\u4e2d\u7b49\u89c4\u6a21\u5f00\u6e90\u8bed\u8a00\u6a21\u578b…",
\n "index": 0,
\n "logprobs": null,
\n "finish_reason": "length"
\n }
\n ],
\n "created": 1719829478,
\n "id": "cmpl-7qQz4k3XJw5z9yH2",
\n "model": "Qwen2.5-7B",
\n "object": "text_completion"
\n}<\/p>\n
{
\n "max_tokens": 512, # \u6700\u5927\u751f\u6210token\u6570
\n "temperature": 0.7, # \u63a7\u5236\u751f\u6210\u968f\u673a\u6027(0-1)
\n "top_p": 0.9, # \u6838\u91c7\u6837\u6982\u7387\u9608\u503c
\n "frequency_penalty": 0.2, # \u6291\u5236\u91cd\u590d\u5185\u5bb9
\n "presence_penalty": 0.2 # \u9f13\u52b1\u591a\u6837\u6027
\n}<\/p>\n
\u5982\u679c\u9047\u5230"CUDA out of memory"\u9519\u8bef，\u53ef\u4ee5\u5c1d\u8bd5： 1. \u51cf\u5c0fmax_tokens\u503c 2. \u964d\u4f4ebatch_size 3. \u4f7f\u7528–quantize\u53c2\u6570\u52a0\u8f7d4bit\u91cf\u5316\u7248\u672c<\/p>\n
\u4f18\u5316\u5efa\u8bae： 1. \u68c0\u67e5\u7f51\u7edc\u5ef6\u8fdf 2. \u786e\u4fdd\u4f7f\u7528GPU\u5b9e\u4f8b\u800c\u975eCPU 3. \u8054\u7cfb\u5e73\u53f0\u6280\u672f\u652f\u6301\u68c0\u67e5\u8d1f\u8f7d\u60c5\u51b5<\/p>\n
\u5982\u679c\u751f\u6210\u8d28\u91cf\u4e0d\u7406\u60f3： 1. \u8c03\u6574temperature\u548ctop_p\u53c2\u6570 2. \u4f18\u5316prompt\u5de5\u7a0b 3. \u8003\u8651\u4f7f\u7528few-shot learning\u63d0\u4f9b\u793a\u4f8b<\/p>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528FastAPI\u8f7b\u677e\u5c01\u88c5\u4e1a\u52a1\u903b\u8f91：<\/p>\n
from fastapi import FastAPI
\nimport requests<\/p>\n
app = FastAPI()<\/p>\n
@app.post("\/custom_api")
\nasync def custom_endpoint(prompt: str):
\n resp = requests.post(
\n "http:\/\/your-instance-address:8000\/v1\/completions",
\n json={
\n "model": "Qwen2.5-7B",
\n "prompt": f"\u4f5c\u4e3a\u5ba2\u670d\u52a9\u624b，\u8bf7\u4e13\u4e1a\u5730\u56de\u7b54\u4ee5\u4e0b\u95ee\u9898：{prompt}",
\n "max_tokens": 200
\n }
\n )
\n return resp.json()<\/p>\n
\u5e38\u89c1\u7684\u96c6\u6210\u65b9\u5f0f\u5305\u62ec： 1. \u901a\u8fc7HTTP API\u76f4\u63a5\u8c03\u7528 2. \u4f7f\u7528Python SDK\u5c01\u88c5\u5e38\u7528\u529f\u80fd 3. \u5f00\u53d1\u7279\u5b9a\u9886\u57df\u7684\u5fae\u670d\u52a1<\/p>\n
\u5b9e\u6d4b\u4e0b\u6765，\u8fd9\u79cd\u6258\u7ba1\u65b9\u6848\u7279\u522b\u9002\u5408\u521d\u521b\u516c\u53f8\u5feb\u901f\u9a8c\u8bc1AI\u5e94\u7528\u573a\u666f，\u73b0\u5728\u5c31\u53ef\u4ee5\u8bd5\u8bd5\u5728CSDN\u661f\u56fe\u5e73\u53f0\u90e8\u7f72\u4f60\u7684\u7b2c\u4e00\u4e2aQwen2.5-7B\u5b9e\u4f8b\u3002<\/p>\n
💡 \u83b7\u53d6\u66f4\u591aAI\u955c\u50cf<\/p>\n
\u60f3\u63a2\u7d22\u66f4\u591aAI\u955c\u50cf\u548c\u5e94\u7528\u573a\u666f？\u8bbf\u95ee CSDN\u661f\u56fe\u955c\u50cf\u5e7f\u573a，\u63d0\u4f9b\u4e30\u5bcc\u7684\u9884\u7f6e\u955c\u50cf，\u8986\u76d6\u5927\u6a21\u578b\u63a8\u7406\u3001\u56fe\u50cf\u751f\u6210\u3001\u89c6\u9891\u751f\u6210\u3001\u6a21\u578b\u5fae\u8c03\u7b49\u591a\u4e2a\u9886\u57df，\u652f\u6301\u4e00\u952e\u90e8\u7f72\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
Qwen2.5-7B\u6a21\u578b\u6258\u7ba1\u65b9\u6848：\u6bd4\u81ea\u5efa\u670d\u52a1\u5668\u7701\u5fc3\u53c8\u7701\u94b1
\n\u5f15\u8a00
\n\u4f5c\u4e3a\u521d\u521b\u516c\u53f8\u7684CTO，\u4f60\u662f\u5426\u7ecf\u5e38\u9762\u4e34\u8fd9\u6837\u7684\u56f0\u5883：\u65e2\u60f3\u7528\u4e0a\u6700\u65b0\u7684\u5927\u6a21\u578b\u6280\u672f\u8d4b\u80fd\u4e1a\u52a1，\u53c8\u62c5\u5fc3\u81ea\u5efa\u670d\u52a1\u5668\u7684\u9ad8\u6602\u6210\u672c\u548c\u8fd0\u7ef4\u538b\u529b？Qwen2.5-7B\u4f5c\u4e3a\u901a\u4e49\u5343\u95ee\u6700\u65b0\u5f00\u6e90\u7684\u4e2d\u7b49\u89c4\u6a21\u8bed\u8a00\u6a21\u578b，\u5728\u6027\u4ef7\u6bd4\u548c\u6027\u80fd\u4e4b\u95f4\u53d6\u5f97\u4e86\u5f88\u597d\u7684\u5e73\u8861，\u4f46\u5982\u4f55\u6258\u7ba1\u5b83\u5374\u662f\u4e2a\u6280\u672f\u96be\u9898\u3002
\n\u4f20\u7edf\u81ea\u5efa\u670d\u52a1\u5668\u65b9\u6848\u4e0d\u4ec5\u9700\u8981\u8d2d\u4e70\u6602\u8d35\u7684GPU\u8bbe\u5907，\u8fd8\u8981<\/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":[],"topic":[],"class_list":["post-60021","post","type-post","status-publish","format-standard","hentry","category-server"],"yoast_head":"\n