英伟达、Hugging Face和ServiceNow联手发布StarCoder2模型，领跑代码生成领域

IT 商业新闻网03-03

英伟达近日与Hugging Face和ServiceNow合作发布了名为StarCoder2的LLMs系列模型，旨在成为代码生成领域的新标杆，具备性能、透明度和成本效益等多重优势。　　多款模型包含丰富参数选择　　StarCoder2系列模型包括三款不同规模的模型，分别是由ServiceNow训练的30亿参数模型、由Hugging Face训练的70亿参数模型以及由英伟达训练的150亿参数模型。...

网页链接

免责声明：本文观点仅代表作者个人观点，不构成本平台的投资建议，本平台不对文章信息准确性、完整性和及时性做出任何保证，亦不对因使用或信赖文章信息引发的任何损失承担责任。

精彩评论

我们需要你的真知灼见来填补这片空白

发表看法

{"i18n":{"language":"zh_CN"},"isChannel":false,"data":{"share":"https://www.laohu8.com/m/news/2416563133?lang=zh_CN&edition=full","thumbnail":"http://www.itxinwen.com/uploadfile/2024/0303/thumb_205_0_20240303112912706.png","is_english":false,"pubTime":"2024-03-03 11:28","share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","id":"2416563133","market":"us","top_or_hot":-1,"title":"英伟达、Hugging Face和ServiceNow联手发布StarCoder2模型，领跑代码生成领域","media":"IT 商业新闻网","content":"<div>\n<p>英伟达近日与Hugging Face和ServiceNow合作发布了名为StarCoder2的LLMs系列模型，旨在成为代码生成领域的新标杆，具备性能、透明度和成本效益等多重优势。\n　　多款模型包含丰富参数选择\n　　StarCoder2系列模型包括三款不同规模的模型，分别是由ServiceNow训练的30亿参数模型、由Hugging Face训练的70亿参数模型以及由英伟达训练的150亿参数模型。...</p>\n\n<a href=\"http://www.itxinwen.com/AI/20240303/146616.html\">网页链接</a>\n\n</div>\n","source":"itxinwen_highlight","html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>英伟达、Hugging Face和ServiceNow联手发布StarCoder2模型，领跑代码生成领域</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n英伟达、Hugging Face和ServiceNow联手发布StarCoder2模型，领跑代码生成领域\n</h2>\n\n<h4 class=\"meta\">\n\n\n2024-03-03 11:28 北京时间&nbsp;&nbsp;&nbsp;<a href=http://www.itxinwen.com/AI/20240303/146616.html><strong>IT 商业新闻网</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>英伟达近日与Hugging Face和ServiceNow合作发布了名为StarCoder2的LLMs系列模型，旨在成为代码生成领域的新标杆，具备性能、透明度和成本效益等多重优势。\n　　多款模型包含丰富参数选择\n　　StarCoder2系列模型包括三款不同规模的模型，分别是由ServiceNow训练的30亿参数模型、由Hugging Face训练的70亿参数模型以及由英伟达训练的150亿参数模型。...</p>\n\n<a href=\"http://www.itxinwen.com/AI/20240303/146616.html\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"IE00BJJMRY28.SGD","symbol_name":"Janus Henderson Balanced A Inc SGD","start_time":0,"source_url":"http://www.itxinwen.com/AI/20240303/146616.html","article_id":"2416563133","we_media_id":null,"thumbnails":["http://www.itxinwen.com/uploadfile/2024/0303/thumb_205_0_20240303112912706.png"],"rights":null,"url":"https://stock-news.laohu8.com/highlight/detail?id=2416563133","pubTimestamp":1709436522,"sourceInfo":{"source_id":"itxinwen_highlight","name":"IT 商业新闻网"},"weMediaInfo":null,"summary":"英伟达近日与Hugging Face和ServiceNow合作发布了名为StarCoder2的LLMs系列模型，旨在成为代码生成领域的新标杆，具备性能、透明度和","collect":0,"end_time":0,"defaultTopTitle":"itxinwen.com","property":[],"viewcount":null,"language":"zh","relate_stocks":{"IE00BJJMRY28.SGD":"Janus Henderson Balanced A Inc SGD","LU2458330169.SGD":"FRANKLIN SHARIAH TECHNOLOGY \"A\" (SGD) ACC","LU1974910355.USD":"Allianz Thematica Cl AMg DIS USD","LU1917777945.USD":"安联专题基金Cl AT Acc","LU1267930730.SGD":"富兰克林美国机遇基金AS Acc SGD (CPF)","NVDA":"英伟达","LU0234570918.USD":"高盛全球核心股票组合Acc Close","LU2458330243.SGD":"FRANKLIN SHARIAH TECHNOLOGY \"A-H1\" (SGDHDG) ACC","BK4529":"IDC概念","LU1923622614.USD":"Natixis Thematics Meta R/A USD","LU0417517546.SGD":"Allianz US Equity Cl AT Acc SGD","LU0642271901.SGD":"Janus Henderson Horizon Global Technology Leaders A2 SGD-H","BK4528":"SaaS概念","LU0056508442.USD":"贝莱德世界科技基金A2","LU2125909759.SGD":"Natixis Thematics Safety H-R/A SGD","BK4592":"伊斯兰概念","LU0080751232.USD":"富达环球多元动力基金A","LU0719512351.SGD":"JPMorgan Funds - US Technology A (acc) SGD","LU1803068979.SGD":"FTIF - Franklin Technology A (acc) SGD-H1","LU2125909916.SGD":"Natixis Thematics Safety R/A SGD","BK4585":"ETF&股票定投概念","NOW":"ServiceNow","LU2023250504.SGD":"Allianz Thematica Cl AMg DIS H2-SGD","LU0320765059.SGD":"FTIF - Franklin US Opportunities A Acc SGD","IE00BMPRXN33.USD":"NEUBERGER BERMAN 5G CONNECTIVITY \"A\" (USD) ACC","LU1923622291.USD":"Natixis Thematics Safety R/A USD","LU0820561909.HKD":"ALLIANZ INCOME AND GROWTH \"AM\" (HKD) INC","LU0109392836.USD":"富兰克林科技股A","BK4587":"ChatGPT概念","LU2063271972.USD":"富兰克林创新领域基金","IE00BFSS7M15.SGD":"Janus Henderson Balanced A Acc SGD-H","LU0011850046.USD":"贝莱德全球长线股票 A2 USD","IE00BWXC8680.SGD":"PINEBRIDGE US LARGE CAP RESEARCH ENHANCED \"A5\" (SGD) ACC","BK4543":"AI","LU0466842654.USD":"HSBC ISLAMIC GLOBAL EQUITY INDEX \"A\" (USD) ACC","LU0170899867.USD":"EASTSPRING INVESTMENTS WORLD VALUE EQUITY  \"A\" (USD) ACC","LU0097036916.USD":"贝莱德美国增长A2 USD","BK4527":"明星科技股","BK4588":"碎股","LU0689472784.USD":"安联收益及增长基金Cl AM AT Acc","BK4579":"人工智能","LU0640476718.USD":"THREADNEEDLE (LUX) US CONTRARIAN CORE EQ \"AU\" (USD) ACC","IE00BD6J9T35.USD":"NEUBERGER BERMAN NEXT GENERATION MOBILITY \"A\" (USD) ACC","LU0444971666.USD":"天利全球科技基金","BK4503":"景林资产持仓","LU0198837287.USD":"UBS (LUX) EQUITY SICAV - USA GROWTH \"P\" (USD) ACC","LU0786609619.USD":"高盛全球千禧一代股票组合Acc","LU1064131342.USD":"Fullerton Lux Funds - Global Absolute Alpha A Acc USD","LU0820561818.USD":"安联收益及增长平衡基金Cl AM DIS","BK4581":"高盛持仓"},"translate_title":"NVIDIA, Hugging Face and ServiceNow jointly released StarCoder 2 model, leading the field of code generation","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"NVDA":1,"NOW":1},"content_text":"英伟达近日与Hugging Face和ServiceNow合作发布了名为StarCoder2的LLMs系列模型，旨在成为代码生成领域的新标杆，具备性能、透明度和成本效益等多重优势。\n　　多款模型包含丰富参数选择\n　　StarCoder2系列模型包括三款不同规模的模型，分别是由ServiceNow训练的30亿参数模型、由Hugging Face训练的70亿参数模型以及由英伟达训练的150亿参数模型。\n　　基于Stack v2数据集训练\n　　这些模型基于名为Stack v2的新代码数据集训练而成，该数据集比Stack v1扩大了七倍；新的训练技术使得这些模型能够更好地理解COBOL等低资源编程语言、数学和程序源代码讨论。\n　　支持多种专业任务\n　　StarCoder2经过619门编程语言的培训，可以执行源代码生成、工作流生成、文本摘要等专业任务。开发人员可以利用它进行代码补全、高级代码总结、代码片段检索等，从而提高工作效率。\n　　性能提升和参数优化\n　　相比初版StarCoder LLMs，新的30亿参数模型进一步精简和筛选了优质参数，其性能相当于150亿参数模型的初版StarCoder。\n　　开源许可证和获取方式\n　　StarCoder2采用BigCode Open RAIL-M许可证，允许免版税访问和使用。感兴趣的用户可从BigCode项目的GitHub页面获取源代码，也可从Hugging Face下载模型。","kind":null,"is_publish_news":null,"is_publish_highlight":null,"is_publish_live":null,"is_publish_wemedia":null,"editions":null,"symbols":[],"gpt_button":1},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","isDev":false,"isTTM":false,"deviceId":"web-server-community-laohu8-v3","version":"4.22.4","shortVersion":"4.22.4","platform":"web","vendor":"web","appName":"laohu8","isIOS":false,"isAndroid":false,"isTiger":false,"isTHS":false,"isWeiXin":false,"isWeiXinMini":false,"isWeiBo":false,"isQQ":false,"isBaiduSwan":false,"isBaiduBox":false,"isDingTalk":false,"isToutiao":false,"isOnePlus":false,"isHuaWei":false,"isXiaomi":false,"isXiaomiWebView":false,"isOppo":false,"isVivo":false,"isSamsung":false,"isMobile":false},"href":"/m/news/2416563133"}