{"id":34751,"date":"2025-08-02T11:19:27","date_gmt":"2025-08-02T03:19:27","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=34751"},"modified":"2025-08-02T11:19:27","modified_gmt":"2025-08-02T03:19:27","slug":"step3","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/step3\/","title":{"rendered":"Step3\uff1a\u9ad8\u6548\u751f\u6210\u591a\u6a21\u6001\u5185\u5bb9\u7684\u5f00\u6e90\u5927\u6a21\u578b"},"content":{"rendered":"<p>Step3 \u662f\u7531 StepFun \u5f00\u53d1\u7684\u4e00\u4e2a\u5f00\u6e90\u591a\u6a21\u6001\u5927\u6a21\u578b\u9879\u76ee\uff0c\u6258\u7ba1\u5728 GitHub \u4e0a\uff0c\u65e8\u5728\u63d0\u4f9b\u9ad8\u6548\u3001\u7ecf\u6d4e\u7684\u6587\u672c\u3001\u56fe\u50cf\u548c\u8bed\u97f3\u5185\u5bb9\u751f\u6210\u80fd\u529b\u3002\u9879\u76ee\u4ee5 321 \u4ebf\u53c2\u6570\uff0838 \u4ebf\u6d3b\u8dc3\u53c2\u6570\uff09\u7684\u6df7\u5408\u4e13\u5bb6\u6a21\u578b\uff08MoE\uff09\u4e3a\u6838\u5fc3\uff0c\u4f18\u5316\u4e86\u63a8\u7406\u901f\u5ea6\u548c\u6027\u80fd\uff0c\u9002\u5408\u751f\u4ea7\u73af\u5883\u4f7f\u7528\u3002Step3 \u652f\u6301 OpenAI \u548c <a href=\"https:\/\/www.kdjingpai.com\/claudeanquanfubai\/\">Anthropic<\/a> \u517c\u5bb9\u7684 API \u63a5\u53e3\uff0c\u6a21\u578b\u6743\u91cd\u4ee5 bf16 \u548c block-fp8 \u683c\u5f0f\u5b58\u50a8\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u5728\u591a\u79cd\u63a8\u7406\u5f15\u64ce\u4e0a\u90e8\u7f72\u3002\u9879\u76ee\u63d0\u4f9b\u8be6\u7ec6\u7684\u90e8\u7f72\u6307\u5357\u548c\u793a\u4f8b\u4ee3\u7801\uff0c\u652f\u6301 <a href=\"https:\/\/www.kdjingpai.com\/vllm\/\">vLLM<\/a> \u548c SGLang \u7b49\u63a8\u7406\u6846\u67b6\u3002StepFun \u81f4\u529b\u4e8e\u901a\u8fc7\u5f00\u6e90\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\uff0cStep3 \u7684\u4ee3\u7801\u548c\u6a21\u578b\u6743\u91cd\u5747\u91c7\u7528 Apache 2.0 \u8bb8\u53ef\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u81ea\u7531\u4f7f\u7528\u548c\u5b9a\u5236\u3002<\/p>\n<p>\u4f53\u9a8c\u5730\u5740\uff1a<a href=\"https:\/\/www.kdjingpai.com\/stepchat\/\">\u9636\u8dc3AI\uff08\u8dc3\u95ee\uff09\uff1a\u9636\u8dc3\u661f\u8fb0\u63a8\u51fa\u7684AI\u4e2a\u4eba\u6548\u7387\u52a9\u624b<\/a><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/cde4be47157a1ee.jpeg\" alt=\"\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u652f\u6301\u591a\u6a21\u6001\u5185\u5bb9\u751f\u6210\uff1a\u5904\u7406\u6587\u672c\u3001\u56fe\u50cf\u548c\u8bed\u97f3\u8f93\u5165\uff0c\u751f\u6210\u9ad8\u8d28\u91cf\u7684\u8f93\u51fa\u3002<\/li>\n<li>\u9ad8\u6548\u63a8\u7406\u4f18\u5316\uff1a\u57fa\u4e8e\u6df7\u5408\u4e13\u5bb6\u6a21\u578b\uff08MoE\uff09\uff0c\u63d0\u4f9b\u5feb\u901f\u63a8\u7406\u901f\u5ea6\uff0c\u9002\u5408\u5b9e\u65f6\u5e94\u7528\u3002<\/li>\n<li>OpenAI\/Anthropic \u517c\u5bb9 API\uff1a\u901a\u8fc7\u00a0<code>https:\/\/platform.stepfun.com\/<\/code>\u00a0\u63d0\u4f9b\u6807\u51c6\u5316\u7684 API \u63a5\u53e3\u3002<\/li>\n<li>\u652f\u6301 bf16 \u548c block-fp8 \u683c\u5f0f\uff1a\u6a21\u578b\u6743\u91cd\u4f18\u5316\u5b58\u50a8\uff0c\u964d\u4f4e\u786c\u4ef6\u9700\u6c42\u3002<\/li>\n<li>\u63d0\u4f9b vLLM \u548c SGLang \u90e8\u7f72\u793a\u4f8b\uff1a\u7b80\u5316\u6a21\u578b\u5728\u751f\u4ea7\u73af\u5883\u7684\u90e8\u7f72\u6d41\u7a0b\u3002<\/li>\n<li>\u5f00\u6e90\u4ee3\u7801\u548c\u6a21\u578b\u6743\u91cd\uff1a\u5f00\u53d1\u8005\u53ef\u81ea\u7531\u4e0b\u8f7d\u3001\u4fee\u6539\u548c\u4f7f\u7528\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u4e0e\u90e8\u7f72<\/h3>\n<p>\u8981\u4f7f\u7528 Step3\uff0c\u5f00\u53d1\u8005\u9700\u8981\u5148\u4ece GitHub \u4ed3\u5e93\u514b\u9686\u4ee3\u7801\u5e76\u8bbe\u7f6e\u5f00\u53d1\u73af\u5883\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u548c\u4f7f\u7528\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u514b\u9686\u4ee3\u7801\u4ed3\u5e93<\/strong><br \/>\n\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u4ece GitHub \u83b7\u53d6 Step3 \u9879\u76ee\u4ee3\u7801\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/stepfun-ai\/Step3.git\r\ncd Step3\r\n<\/code><\/pre>\n<p>\u8fd9\u4f1a\u4e0b\u8f7d Step3 \u7684\u6e90\u7801\u5230\u672c\u5730\u3002<\/li>\n<li><strong>\u8bbe\u7f6e Python \u73af\u5883<\/strong><br \/>\nStep3 \u63a8\u8350\u4f7f\u7528 Python 3.10 \u53ca\u4ee5\u4e0a\u7248\u672c\uff0c\u5e76\u9700\u8981\u5b89\u88c5 PyTorch\uff08\u5efa\u8bae\u7248\u672c \u22652.1.0\uff09\u548c Transformers \u5e93\uff08\u5efa\u8bae\u7248\u672c 4.54.0\uff09\u3002\u53ef\u4ee5\u6309\u7167\u4ee5\u4e0b\u6b65\u9aa4\u914d\u7f6e\u73af\u5883\uff1a<\/p>\n<pre><code>conda create -n step3 python=3.10\r\nconda activate step3\r\npip install torch&gt;=2.1.0\r\npip install transformers==4.54.0\r\n<\/code><\/pre>\n<p>\u786e\u4fdd\u5b89\u88c5\u5b8c\u6210\u540e\u68c0\u67e5\u73af\u5883\u662f\u5426\u6b63\u786e\u914d\u7f6e\u3002<\/li>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd<\/strong><br \/>\nStep3 \u7684\u6a21\u578b\u6743\u91cd\u6258\u7ba1\u5728 Hugging Face \u5e73\u53f0\uff0c\u5206\u4e3a bf16 \u548c block-fp8 \u683c\u5f0f\u3002\u5f00\u53d1\u8005\u53ef\u4ee5\u4ece\u4ee5\u4e0b\u5730\u5740\u4e0b\u8f7d\uff1a<\/p>\n<ul>\n<li>Hugging Face \u6a21\u578b\u5730\u5740\uff1a<code>https:\/\/huggingface.co\/stepfun-ai\/step3<\/code><\/li>\n<li>\u4e0b\u8f7d\u793a\u4f8b\uff1a\n<pre><code>git clone https:\/\/huggingface.co\/stepfun-ai\/step3\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<p>\u4e0b\u8f7d\u540e\uff0c\u6a21\u578b\u6743\u91cd\u76ee\u5f55\u7ed3\u6784\u5e94\u5305\u542b\u5fc5\u8981\u7684\u6a21\u578b\u6587\u4ef6\uff0c\u5982\u00a0<code>step3-fp8<\/code>\u00a0\u6216\u00a0<code>step3<\/code>\u3002<\/li>\n<li><strong>\u90e8\u7f72\u6a21\u578b<\/strong><br \/>\nStep3 \u652f\u6301 vLLM \u548c SGLang \u63a8\u7406\u5f15\u64ce\uff0c\u63a8\u8350\u4f7f\u7528\u591a GPU \u73af\u5883\uff08\u5982 4 \u4e2a A800\/H800 GPU\uff0c\u6bcf\u5f20 80GB \u663e\u5b58\uff09\u4ee5\u83b7\u5f97\u6700\u4f73\u6027\u80fd\u3002\u4ee5\u4e0b\u662f\u4ee5 vLLM \u4e3a\u4f8b\u7684\u90e8\u7f72\u6b65\u9aa4\uff1a<\/p>\n<ul>\n<li>\u542f\u52a8 vLLM \u670d\u52a1\uff1a\n<pre><code>python -m vllm.entrypoints.api_server --model stepfun-ai\/step3 --port 8000\r\n<\/code><\/pre>\n<\/li>\n<li>\u8fd0\u884c\u540e\uff0cAPI \u670d\u52a1\u5c06\u5728\u672c\u5730\u00a0<code>http:\/\/localhost:8000<\/code>\u00a0\u63d0\u4f9b\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u901a\u8fc7 API \u8c03\u7528\u6a21\u578b\u3002<\/li>\n<li>\u793a\u4f8b API \u8bf7\u6c42\uff1a\n<pre><code>import requests\r\nurl = \"http:\/\/localhost:8000\/v1\/completions\"\r\ndata = {\r\n\"model\": \"stepfun-ai\/step3\",\r\n\"prompt\": \"\u751f\u6210\u4e00\u5f20\u79cb\u5929\u68ee\u6797\u7684\u56fe\u7247\u63cf\u8ff0\",\r\n\"max_tokens\": 512\r\n}\r\nresponse = requests.post(url, json=data)\r\nprint(response.json())\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u4f7f\u7528 Transformers \u5e93\u63a8\u7406<\/strong><br \/>\n\u5982\u679c\u4e0d\u4f7f\u7528 vLLM\uff0c\u53ef\u4ee5\u901a\u8fc7 Transformers \u5e93\u76f4\u63a5\u52a0\u8f7d\u6a21\u578b\u8fdb\u884c\u63a8\u7406\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<pre><code>from transformers import AutoProcessor, AutoModelForCausalLM\r\n# \u5b9a\u4e49\u6a21\u578b\u8def\u5f84\r\nmodel_path = \"stepfun-ai\/step3\"\r\nprocessor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True)\r\nmodel = AutoModelForCausalLM.from_pretrained(model_path, device_map=\"auto\", torch_dtype=\"auto\", trust_remote_code=True)\r\n# \u8f93\u5165\u793a\u4f8b\uff08\u56fe\u50cf + \u6587\u672c\uff09\r\nmessages = [\r\n{\r\n\"role\": \"user\",\r\n\"content\": [\r\n{\"type\": \"image\", \"image\": \"https:\/\/example.com\/image.jpg\"},\r\n{\"type\": \"text\", \"text\": \"\u63cf\u8ff0\u8fd9\u5f20\u56fe\u7247\u7684\u5185\u5bb9\"}\r\n]\r\n}\r\n]\r\n# \u9884\u5904\u7406\u8f93\u5165\r\ninputs = processor.apply_chat_template(messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors=\"pt\").to(model.device)\r\n# \u751f\u6210\u8f93\u51fa\r\ngenerate_ids = model.generate(**inputs, max_new_tokens=32768, do_sample=False)\r\ndecoded = processor.decode(generate_ids[0, inputs[\"input_ids\"].shape[-1]:], skip_special_tokens=True)\r\nprint(decoded)\r\n<\/code><\/pre>\n<p>\u8fd9\u6bb5\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u52a0\u8f7d\u6a21\u578b\u3001\u5904\u7406\u591a\u6a21\u6001\u8f93\u5165\u5e76\u751f\u6210\u8f93\u51fa\u3002<\/li>\n<li><strong>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/strong>\n<ul>\n<li><strong>\u591a\u6a21\u6001\u8f93\u5165<\/strong>\uff1aStep3 \u652f\u6301\u6587\u672c\u3001\u56fe\u50cf\u548c\u8bed\u97f3\u8f93\u5165\u3002\u5f00\u53d1\u8005\u53ef\u4ee5\u901a\u8fc7 API \u6216 Transformers \u5e93\u4f20\u5165\u591a\u6a21\u6001\u6570\u636e\u3002\u4f8b\u5982\uff0c\u4e0a\u4f20\u4e00\u5f20\u56fe\u7247\u5e76\u9644\u5e26\u6587\u672c\u63d0\u793a\uff0c\u6a21\u578b\u53ef\u4ee5\u751f\u6210\u4e0e\u56fe\u7247\u76f8\u5173\u7684\u63cf\u8ff0\u6216\u56de\u7b54\u95ee\u9898\u3002<\/li>\n<li><strong>\u9ad8\u6548\u63a8\u7406<\/strong>\uff1aStep3 \u7684 MoE \u67b6\u6784\u4f18\u5316\u4e86\u63a8\u7406\u901f\u5ea6\uff0c\u9002\u5408\u5b9e\u65f6\u5e94\u7528\u3002\u5f00\u53d1\u8005\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u00a0<code>max_new_tokens<\/code>\u00a0\u53c2\u6570\u63a7\u5236\u8f93\u51fa\u957f\u5ea6\uff0c\u63a8\u8350\u503c\u5728 512 \u5230 32768 \u4e4b\u95f4\u3002<\/li>\n<li><strong>\u6a21\u578b\u5b9a\u5236<\/strong>\uff1a\u5f00\u53d1\u8005\u53ef\u4ee5\u57fa\u4e8e Step3 \u7684\u5f00\u6e90\u4ee3\u7801\u8fdb\u884c\u5fae\u8c03\uff0c\u8c03\u6574\u6a21\u578b\u4ee5\u9002\u5e94\u7279\u5b9a\u4efb\u52a1\uff0c\u5982\u751f\u6210\u7279\u5b9a\u98ce\u683c\u7684\u6587\u672c\u6216\u56fe\u50cf\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u8c03\u8bd5\u4e0e\u652f\u6301<\/strong><br \/>\n\u5982\u679c\u90e8\u7f72\u6216\u4f7f\u7528\u4e2d\u9047\u5230\u95ee\u9898\uff0c\u53ef\u4ee5\u901a\u8fc7 GitHub \u63d0\u4ea4 issue \u6216\u8054\u7cfb\u5b98\u65b9\u90ae\u7bb1\u00a0<code>contact@stepfun.com<\/code>\u00a0\u83b7\u53d6\u652f\u6301\u3002StepFun \u793e\u533a\u8fd8\u63d0\u4f9b Discord \u9891\u9053\uff08<code>https:\/\/discord.gg\/92ye5tjg7K<\/code>\uff09\u4f9b\u5f00\u53d1\u8005\u4ea4\u6d41\u3002<\/li>\n<\/ol>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u5185\u5bb9\u521b\u4f5c<\/strong><br \/>\nStep3 \u53ef\u7528\u4e8e\u751f\u6210\u6587\u7ae0\u3001\u56fe\u7247\u63cf\u8ff0\u6216\u77ed\u89c6\u9891\u811a\u672c\u3002\u521b\u4f5c\u8005\u53ef\u4ee5\u8f93\u5165\u6587\u672c\u63d0\u793a\u6216\u56fe\u50cf\uff0c\u5feb\u901f\u751f\u6210\u9ad8\u8d28\u91cf\u5185\u5bb9\uff0c\u9002\u5408\u535a\u5ba2\u3001\u793e\u4ea4\u5a92\u4f53\u6216\u5e7f\u544a\u5236\u4f5c\u3002<\/li>\n<li><strong>\u667a\u80fd\u5ba2\u670d<\/strong><br \/>\nStep3 \u7684\u591a\u6a21\u6001\u80fd\u529b\u652f\u6301\u8bed\u97f3\u548c\u6587\u672c\u4ea4\u4e92\uff0c\u53ef\u7528\u4e8e\u6784\u5efa\u667a\u80fd\u5ba2\u670d\u7cfb\u7edf\u3002\u4f01\u4e1a\u53ef\u4ee5\u901a\u8fc7 API \u96c6\u6210 Step3\uff0c\u5904\u7406\u5ba2\u6237\u54a8\u8be2\u5e76\u751f\u6210\u81ea\u7136\u8bed\u8a00\u56de\u590d\u3002<\/li>\n<li><strong>\u6559\u80b2\u8f85\u52a9<\/strong><br \/>\n\u6559\u5e08\u548c\u5b66\u751f\u53ef\u4ee5\u4f7f\u7528 Step3 \u751f\u6210\u6559\u5b66\u6750\u6599\u6216\u89e3\u7b54\u95ee\u9898\u3002\u4f8b\u5982\uff0c\u4e0a\u4f20\u4e00\u5f20\u79d1\u5b66\u5b9e\u9a8c\u56fe\u7247\uff0c\u6a21\u578b\u53ef\u4ee5\u751f\u6210\u8be6\u7ec6\u7684\u5b9e\u9a8c\u6b65\u9aa4\u8bf4\u660e\u3002<\/li>\n<li><strong>\u591a\u5a92\u4f53\u5904\u7406<\/strong><br \/>\nStep3 \u9002\u5408\u5904\u7406\u591a\u6a21\u6001\u6570\u636e\uff0c\u5982\u5206\u6790\u89c6\u9891\u5e27\u5e76\u751f\u6210\u5b57\u5e55\uff0c\u6216\u6839\u636e\u97f3\u9891\u751f\u6210\u6587\u672c\u6458\u8981\uff0c\u9002\u7528\u4e8e\u89c6\u9891\u7f16\u8f91\u548c\u5185\u5bb9\u5206\u6790\u3002<\/li>\n<\/ol>\n<h2>QA<\/h2>\n<ol>\n<li><strong>Step3 \u652f\u6301\u54ea\u4e9b\u63a8\u7406\u5f15\u64ce\uff1f<\/strong><br \/>\nStep3 \u63a8\u8350\u4f7f\u7528 vLLM \u548c SGLang \u8fdb\u884c\u63a8\u7406\uff0c\u652f\u6301 bf16 \u548c block-fp8 \u683c\u5f0f\u7684\u6a21\u578b\u6743\u91cd\uff0c\u9002\u5408\u591a GPU \u73af\u5883\u3002<\/li>\n<li><strong>\u5982\u4f55\u83b7\u53d6\u6a21\u578b\u6743\u91cd\uff1f<\/strong><br \/>\n\u6a21\u578b\u6743\u91cd\u53ef\u5728 Hugging Face \u5e73\u53f0\u4e0b\u8f7d\uff0c\u5730\u5740\u4e3a\u00a0<code>https:\/\/huggingface.co\/stepfun-ai\/step3<\/code>\u3002\u514b\u9686\u4ed3\u5e93\u540e\u5373\u53ef\u4f7f\u7528\u3002<\/li>\n<li><strong>Step3 \u7684\u786c\u4ef6\u8981\u6c42\u662f\u4ec0\u4e48\uff1f<\/strong><br \/>\n\u63a8\u8350\u4f7f\u7528 4 \u5f20 80GB \u663e\u5b58\u7684 A800\/H800 GPU\u3002\u5355 GPU \u63a8\u7406\u4e5f\u53ef\u4ee5\uff0c\u4f46\u901f\u5ea6\u8f83\u6162\u3002<\/li>\n<li><strong>\u662f\u5426\u652f\u6301\u5fae\u8c03\u6a21\u578b\uff1f<\/strong><br \/>\n\u662f\u7684\uff0cStep3 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