{"id":43379,"date":"2025-08-22T01:16:16","date_gmt":"2025-08-21T17:16:16","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=43379"},"modified":"2025-08-22T01:16:16","modified_gmt":"2025-08-21T17:16:16","slug":"seed-oss","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/seed-oss\/","title":{"rendered":"Seed-OSS\uff1a\u5f00\u6e90\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u652f\u6301\u957f\u4e0a\u4e0b\u6587\u63a8\u7406\u4e0e\u591a\u529f\u80fd\u5e94\u7528"},"content":{"rendered":"<p>Seed-OSS \u662f\u7531\u5b57\u8282\u8df3\u52a8\uff08ByteDance\uff09Seed \u56e2\u961f\u5f00\u53d1\u7684\u4e00\u7cfb\u5217\u5f00\u6e90\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u4e13\u6ce8\u4e8e\u957f\u4e0a\u4e0b\u6587\u5904\u7406\u3001\u63a8\u7406\u80fd\u529b\u548c\u4ee3\u7406\u4efb\u52a1\u4f18\u5316\u3002\u6a21\u578b\u5305\u542b 360 \u4ebf\u53c2\u6570\uff0c\u4ec5\u7528 12 \u4e07\u4ebf <a href=\"https:\/\/www.kdjingpai.com\/en\/tokenization\/\">token<\/a> \u8bad\u7ec3\uff0c\u6027\u80fd\u5728\u591a\u4e2a\u4e3b\u6d41\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u8868\u73b0\u51fa\u8272\uff0c\u652f\u6301 512K token \u7684\u8d85\u957f\u4e0a\u4e0b\u6587\u5904\u7406\uff0c\u9002\u5408\u56fd\u9645\u5316\u5e94\u7528\u573a\u666f\u3002Seed-OSS \u63d0\u4f9b\u7075\u6d3b\u7684\u63a8\u7406\u9884\u7b97\u63a7\u5236\uff0c\u7528\u6237\u53ef\u6839\u636e\u9700\u6c42\u8c03\u6574\u63a8\u7406\u957f\u5ea6\uff0c\u63d0\u5347\u5b9e\u9645\u5e94\u7528\u6548\u7387\u3002\u6a21\u578b\u91c7\u7528 Apache-2.0 \u8bb8\u53ef\uff0c\u5b8c\u5168\u5f00\u6e90\uff0c\u5141\u8bb8\u5f00\u53d1\u8005\u81ea\u7531\u4f7f\u7528\u548c\u4fee\u6539\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u7814\u7a76\u3001\u63a8\u7406\u4efb\u52a1\u548c\u591a\u6a21\u6001\u573a\u666f\uff0c\u5df2\u652f\u6301\u5b57\u8282\u8df3\u52a8\u8d85 50 \u4e2a\u5b9e\u9645\u5e94\u7528\u3002<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u8d85\u957f\u4e0a\u4e0b\u6587\u5904\u7406<\/strong>\uff1a\u652f\u6301 512K token \u4e0a\u4e0b\u6587\u7a97\u53e3\uff0c\u7ea6\u7b49\u4e8e 1600 \u9875\u6587\u672c\uff0c\u9002\u5408\u5904\u7406\u957f\u6587\u6863\u6216\u590d\u6742\u5bf9\u8bdd\u3002<\/li>\n<li><strong>\u7075\u6d3b\u63a8\u7406\u9884\u7b97\u63a7\u5236<\/strong>\uff1a\u7528\u6237\u53ef\u901a\u8fc7\u00a0<code>thinking_budget<\/code>\u00a0\u53c2\u6570\u52a8\u6001\u8c03\u6574\u63a8\u7406\u957f\u5ea6\uff0c\u5e73\u8861\u901f\u5ea6\u4e0e\u6df1\u5ea6\u3002<\/li>\n<li><strong>\u5f3a\u5927\u63a8\u7406\u80fd\u529b<\/strong>\uff1a\u9488\u5bf9\u6570\u5b66\u3001\u4ee3\u7801\u751f\u6210\u7b49\u590d\u6742\u4efb\u52a1\u4f18\u5316\uff0c\u6027\u80fd\u5728 AIME\u3001LiveCodeBench \u7b49\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u8868\u73b0\u4f18\u5f02\u3002<\/li>\n<li><strong>\u56fd\u9645\u5316\u4f18\u5316<\/strong>\uff1a\u652f\u6301\u591a\u8bed\u8a00\u4efb\u52a1\uff0c\u9002\u5408\u5168\u7403\u5f00\u53d1\u8005\u4f7f\u7528\uff0c\u6db5\u76d6\u591a\u79cd\u8bed\u8a00\u7ffb\u8bd1\u548c\u7406\u89e3\u3002<\/li>\n<li><strong>\u4ee3\u7406\u4efb\u52a1\u652f\u6301<\/strong>\uff1a\u5185\u7f6e\u5de5\u5177\u8c03\u7528\u529f\u80fd\uff0c\u914d\u5408\u00a0<code>enable-auto-tool-choice<\/code>\u00a0\u53ef\u5b9e\u73b0\u81ea\u52a8\u5316\u4efb\u52a1\u5904\u7406\u3002<\/li>\n<li><strong>\u9ad8\u6548\u90e8\u7f72<\/strong>\uff1a\u652f\u6301\u591a GPU \u63a8\u7406\uff0c\u517c\u5bb9\u00a0<code>bfloat16<\/code>\u00a0\u6570\u636e\u7c7b\u578b\uff0c\u4f18\u5316\u63a8\u7406\u6548\u7387\u3002<\/li>\n<li><strong>\u5f00\u6e90\u4e0e\u793e\u533a\u652f\u6301<\/strong>\uff1a\u57fa\u4e8e Apache-2.0 \u8bb8\u53ef\uff0c\u63d0\u4f9b\u5b8c\u6574\u6a21\u578b\u6743\u91cd\u548c\u4ee3\u7801\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u5b9a\u5236\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>\u8981\u4f7f\u7528 Seed-OSS \u6a21\u578b\uff0c\u9700\u6309\u7167\u4ee5\u4e0b\u6b65\u9aa4\u5728\u672c\u5730\u6216\u670d\u52a1\u5668\u4e0a\u8fdb\u884c\u5b89\u88c5\u548c\u914d\u7f6e\u3002\u4ee5\u4e0b\u4ee5 Seed-OSS-36B-Instruct \u6a21\u578b\u4e3a\u4f8b\uff0c\u57fa\u4e8e GitHub \u63d0\u4f9b\u7684\u5b98\u65b9\u6307\u5357\u3002<\/p>\n<ol>\n<li><strong>\u514b\u9686\u4ed3\u5e93<\/strong>\uff1a\n<pre><code>git clone https:\/\/github.com\/ByteDance-Seed\/seed-oss.git\r\ncd seed-oss\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\uff1a<br \/>\n\u786e\u4fdd\u7cfb\u7edf\u5df2\u5b89\u88c5 Python 3.8+ \u548c pip\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u5fc5\u8981\u4f9d\u8d56\uff1a<\/p>\n<pre><code>pip3 install -r requirements.txt\r\npip install git+ssh:\/\/git@github.com\/Fazziekey\/transformers.git@seed-oss\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5 vLLM\uff08\u63a8\u8350\uff09<\/strong>\uff1a<br \/>\nSeed-OSS \u652f\u6301 <a href=\"https:\/\/www.kdjingpai.com\/en\/vllm\/\">vLLM<\/a> \u63a8\u7406\u6846\u67b6\uff0c\u4ee5\u63d0\u9ad8\u63a8\u7406\u6548\u7387\u3002\u5b89\u88c5 vLLM\uff1a<\/p>\n<pre><code>VLLM_USE_PRECOMPILED=1 VLLM_TEST_USE_PRECOMPILED_NIGHTLY_WHEEL=1 pip install git+ssh:\/\/git@github.com\/FoolPlayer\/vllm.git@seed-oss\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd<\/strong>\uff1a<br \/>\n\u4ece Hugging Face \u4e0b\u8f7d Seed-OSS-36B-Instruct \u6a21\u578b\u6743\u91cd\uff1a<\/p>\n<pre><code>huggingface-cli download ByteDance-Seed\/Seed-OSS-36B-Instruct --local-dir .\/Seed-OSS-36B-Instruct\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u914d\u7f6e\u8fd0\u884c\u73af\u5883<\/strong>\uff1a<br \/>\n\u786e\u4fdd\u7cfb\u7edf\u5177\u5907\u652f\u6301\u591a GPU \u7684\u786c\u4ef6\u73af\u5883\uff08\u5982 NVIDIA H100\uff09\u3002\u63a8\u8350\u914d\u7f6e\u00a0<code>tensor-parallel-size=8<\/code>\u00a0\u548c\u00a0<code>bfloat16<\/code>\u00a0\u6570\u636e\u7c7b\u578b\u4ee5\u4f18\u5316\u6027\u80fd\u3002<\/li>\n<li><strong>\u542f\u52a8\u63a8\u7406\u670d\u52a1<\/strong>\uff1a<br \/>\n\u4f7f\u7528 vLLM \u542f\u52a8 OpenAI \u517c\u5bb9\u7684 API \u670d\u52a1\uff1a<\/p>\n<pre><code>python3 -m vllm.entrypoints.openai.api_server \\\r\n--host localhost \\\r\n--port 4321 \\\r\n--enable-auto-tool-choice \\\r\n--tool-call-parser seed_oss \\\r\n--trust-remote-code \\\r\n--model .\/Seed-OSS-36B-Instruct \\\r\n--chat-template .\/Seed-OSS-36B-Instruct\/chat_template.jinja \\\r\n--tensor-parallel-size 8 \\\r\n--dtype bfloat16 \\\r\n--served-model-name seed_oss\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>Seed-OSS \u63d0\u4f9b\u591a\u79cd\u4f7f\u7528\u65b9\u5f0f\uff0c\u9002\u5408\u4e0d\u540c\u573a\u666f\u3002\u4ee5\u4e0b\u662f\u4e3b\u8981\u529f\u80fd\u7684\u8be6\u7ec6\u64cd\u4f5c\u6d41\u7a0b\u3002<\/p>\n<h4>1. \u57fa\u672c\u5bf9\u8bdd\u4e0e\u63a8\u7406<\/h4>\n<p>\u4f7f\u7528 Python \u811a\u672c\u4e0e\u6a21\u578b\u8fdb\u884c\u4ea4\u4e92\u3002\u4ee5\u751f\u6210\u70f9\u996a\u6559\u7a0b\u4e3a\u4f8b\uff1a<\/p>\n<pre><code>from transformers import AutoModelForCausalLM, AutoTokenizer\r\nmodel_name = \"ByteDance-Seed\/Seed-OSS-36B-Instruct\"\r\ntokenizer = AutoTokenizer.from_pretrained(model_name)\r\nmodel = AutoModelForCausalLM.from_pretrained(model_name, device_map=\"auto\")\r\nmessages = [{\"role\": \"user\", \"content\": \"How to make pasta?\"}]\r\ntokenized_chat = tokenizer.apply_chat_template(\r\nmessages, \r\ntokenize=True, \r\nadd_generation_prompt=True, \r\nreturn_tensors=\"pt\", \r\nthinking_budget=512\r\n)\r\noutputs = model.generate(tokenized_chat.to(model.device), max_new_tokens=2048)\r\noutput_text = tokenizer.decode(outputs[0])\r\nprint(output_text)\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u5173\u952e\u53c2\u6570<\/strong>\uff1a\n<ul>\n<li><code>thinking_budget=512<\/code>\uff1a\u63a7\u5236\u63a8\u7406\u6df1\u5ea6\uff0c\u6570\u503c\u8d8a\u5927\uff0c\u63a8\u7406\u8d8a\u6df1\u5165\uff0c\u9002\u5408\u590d\u6742\u4efb\u52a1\u3002<\/li>\n<li><code>max_new_tokens=2048<\/code>\uff1a\u8bbe\u7f6e\u751f\u6210\u7684\u6700\u5927 token \u6570\uff0c\u5f71\u54cd\u8f93\u51fa\u957f\u5ea6\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>2. \u957f\u4e0a\u4e0b\u6587\u5904\u7406<\/h4>\n<p>Seed-OSS \u652f\u6301 512K token \u4e0a\u4e0b\u6587\uff0c\u9002\u5408\u5904\u7406\u957f\u6587\u6863\u6216\u591a\u8f6e\u5bf9\u8bdd\u3002\u4f8b\u5982\uff0c\u5206\u6790\u957f\u7bc7\u62a5\u544a\uff1a<\/p>\n<ol>\n<li>\u5c06\u957f\u6587\u6863\u5185\u5bb9\u4f5c\u4e3a\u00a0<code>messages<\/code>\u00a0\u8f93\u5165\uff0c\u683c\u5f0f\u4e3a\u00a0<code>[{\"role\": \"user\", \"content\": \"&lt;\u957f\u6587\u6863\u5185\u5bb9&gt;\"}]<\/code>.<\/li>\n<li>\u8bbe\u7f6e\u9ad8\u00a0<code>thinking_budget<\/code>\uff08\u5982 1024\uff09\u4ee5\u786e\u4fdd\u6df1\u5ea6\u63a8\u7406\u3002<\/li>\n<li>\u4f7f\u7528\u4e0a\u8ff0\u811a\u672c\u751f\u6210\u603b\u7ed3\u6216\u56de\u7b54\u95ee\u9898\u3002<\/li>\n<\/ol>\n<h4>3. \u4ee3\u7406\u4efb\u52a1\u4e0e\u5de5\u5177\u8c03\u7528<\/h4>\n<p>Seed-OSS \u652f\u6301\u81ea\u52a8\u5316\u5de5\u5177\u8c03\u7528\uff0c\u9700\u542f\u7528\u00a0<code>enable-auto-tool-choice<\/code>\u3002\u4f8b\u5982\uff0c\u914d\u7f6e API \u670d\u52a1\u540e\uff0c\u53ef\u901a\u8fc7 HTTP \u8bf7\u6c42\u8c03\u7528\u6a21\u578b\uff1a<\/p>\n<pre><code>curl http:\/\/localhost:4321\/v1\/chat\/completions \\\r\n-H \"Content-Type: application\/json\" \\\r\n-d '{\r\n\"model\": \"seed_oss\",\r\n\"messages\": [{\"role\": \"user\", \"content\": \"Calculate 2+2\"}]\r\n}'\r\n<\/code><\/pre>\n<ul>\n<li>\u6a21\u578b\u4f1a\u81ea\u52a8\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\uff08\u5982\u6570\u5b66\u8ba1\u7b97\u5668\uff09\u5e76\u8fd4\u56de\u7ed3\u679c\u3002<\/li>\n<li>\u786e\u4fdd\u00a0<code>tool-call-parser seed_oss<\/code>\u00a0\u5df2\u542f\u7528\u4ee5\u89e3\u6790\u5de5\u5177\u8c03\u7528\u3002<\/li>\n<\/ul>\n<h4>4. \u63a8\u7406\u9884\u7b97\u4f18\u5316<\/h4>\n<p>\u7528\u6237\u53ef\u901a\u8fc7\u8c03\u6574\u00a0<code>thinking_budget<\/code>\u00a0\u53c2\u6570\u4f18\u5316\u63a8\u7406\u6548\u7387\uff1a<\/p>\n<ul>\n<li>\u7b80\u5355\u4efb\u52a1\uff08\u5982\u7ffb\u8bd1\uff09\uff1a\u8bbe\u7f6e\u00a0<code>thinking_budget=128<\/code>\u3002<\/li>\n<li>\u590d\u6742\u4efb\u52a1\uff08\u5982\u6570\u5b66\u63a8\u7406\uff09\uff1a\u8bbe\u7f6e\u00a0<code>thinking_budget=1024<\/code>\u3002<br \/>\n\u793a\u4f8b\uff1a<\/li>\n<\/ul>\n<pre><code>tokenized_chat = tokenizer.apply_chat_template(\r\nmessages, \r\ntokenize=True, \r\nadd_generation_prompt=True, \r\nreturn_tensors=\"pt\", \r\nthinking_budget=1024\r\n)\r\n<\/code><\/pre>\n<h4>5. \u90e8\u7f72\u4f18\u5316<\/h4>\n<ul>\n<li><strong>\u591a GPU \u63a8\u7406<\/strong>\uff1a\u901a\u8fc7\u00a0<code>tensor-parallel-size<\/code>\u00a0\u53c2\u6570\u5206\u914d GPU \u8d44\u6e90\u3002\u4f8b\u5982\uff0c<code>tensor-parallel-size=8<\/code>\u00a0\u9002\u5408 8 \u5f20 GPU\u3002<\/li>\n<li><strong>\u6570\u636e\u7c7b\u578b<\/strong>\uff1a\u4f7f\u7528\u00a0<code>bfloat16<\/code>\u00a0\u964d\u4f4e\u663e\u5b58\u5360\u7528\uff0c\u9002\u5408\u5927\u89c4\u6a21\u90e8\u7f72\u3002<\/li>\n<li><strong>\u751f\u6210\u914d\u7f6e<\/strong>\uff1a\u63a8\u8350\u00a0<code>temperature=1.1<\/code>\u00a0\u548c\u00a0<code>top_p=0.95<\/code>\u00a0\u4ee5\u83b7\u5f97\u591a\u6837\u5316\u8f93\u51fa\u3002\u5bf9\u4e8e\u7279\u5b9a\u4efb\u52a1\uff08\u5982 Taubench\uff09\uff0c\u53ef\u8c03\u6574\u4e3a\u00a0<code>temperature=1<\/code>\u00a0\u548c\u00a0<code>top_p=0.7<\/code>\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li><strong>\u786c\u4ef6\u9700\u6c42<\/strong>\uff1a\u63a8\u8350\u81f3\u5c11 1 \u5f20 NVIDIA H100-80G GPU\uff0c4 \u5f20\u652f\u6301\u66f4\u9ad8\u5206\u8fa8\u7387\u4efb\u52a1\u3002<\/li>\n<li><strong>\u6a21\u578b\u9009\u62e9<\/strong>\uff1aSeed-OSS \u63d0\u4f9b Base \u548c Instruct \u7248\u672c\uff0cInstruct \u66f4\u9002\u5408\u4ea4\u4e92\u4efb\u52a1\uff0cBase \u9002\u5408\u7814\u7a76\u548c\u5fae\u8c03\u3002<\/li>\n<li><strong>\u793e\u533a\u652f\u6301<\/strong>\uff1a\u53ef\u901a\u8fc7 GitHub \u63d0\u4ea4 issue \u6216 pull request \u53c2\u4e0e\u793e\u533a\u8d21\u732e\u3002<\/li>\n<\/ul>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u5b66\u672f\u7814\u7a76<\/strong>\n<ul>\n<li><strong>\u573a\u666f\u63cf\u8ff0<\/strong>\uff1a\u7814\u7a76\u4eba\u5458\u53ef\u4f7f\u7528 Seed-OSS \u8fdb\u884c\u957f\u6587\u6863\u5206\u6790\u3001\u6570\u636e\u63d0\u53d6\u6216\u590d\u6742\u63a8\u7406\u4efb\u52a1\u3002\u4f8b\u5982\uff0c\u5206\u6790\u5b66\u672f\u8bba\u6587\u6216\u751f\u6210\u7814\u7a76\u62a5\u544a\u6458\u8981\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u591a\u8bed\u8a00\u5e94\u7528<\/strong>\n<ul>\n<li><strong>\u573a\u666f\u63cf\u8ff0<\/strong>\uff1a\u5f00\u53d1\u8005\u53ef\u5229\u7528\u6a21\u578b\u7684\u591a\u8bed\u8a00\u652f\u6301\uff0c\u6784\u5efa\u56fd\u9645\u5316\u804a\u5929\u673a\u5668\u4eba\u6216\u7ffb\u8bd1\u5de5\u5177\uff0c\u8986\u76d6\u591a\u79cd\u8bed\u8a00\u573a\u666f\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong>\u81ea\u52a8\u5316\u4ee3\u7406<\/strong>\n<ul>\n<li><strong>\u573a\u666f\u63cf\u8ff0<\/strong>\uff1a\u4f01\u4e1a\u53ef\u90e8\u7f72 Seed-OSS 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