{"id":25141,"date":"2024-12-15T06:41:46","date_gmt":"2024-12-14T22:41:46","guid":{"rendered":"https:\/\/www.1ai.net\/?p=25141"},"modified":"2024-12-14T23:42:50","modified_gmt":"2024-12-14T15:42:50","slug":"%e8%85%be%e8%ae%af%e5%be%ae%e4%bf%a1%e6%ad%a3%e5%bc%8f%e5%8f%91%e5%b8%83%e5%a4%9a%e6%a8%a1%e6%80%81%e5%a4%a7%e6%a8%a1%e5%9e%8b-points-1-5","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/25141.html","title":{"rendered":"Tencent WeChat Officially Releases Multimodal Large Model POINTS 1.5"},"content":{"rendered":"<p>Two months have passed since the release of POINT 1.0.<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%85%be%e8%ae%af\" title=\"[View articles tagged with [Tencent]]\" target=\"_blank\" >Tencent<\/a>The launch of POINTS 1.5 was announced on December 14th.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-25142\" title=\"f58bb6ebj00sohqam007nd000u000lap\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/12\/f58bb6ebj00sohqam007nd000u000lap.jpg\" alt=\"f58bb6ebj00sohqam007nd000u000lap\" width=\"1080\" height=\"766\" \/><\/p>\n<p>1AI notes that POINTS 1.5 still follows the classic LLaVA architecture used in POINTS 1.0, consisting of a vision encoder, a projector, and a large language model.<\/p>\n<p>According to the official introduction, this generation of POINTS model not only takes into account the efficiency-first idea insisted in POINTS 1.0, but also greatly enhances the performance of the model.<\/p>\n<p>According to Tencent, POINTS1.5-7B tops the list of the world's top sub-10B open source models, surpassing industry-leading models such as Qwen2-VL, InternVL2 and MiniCPM-V-2.5.<\/p>\n<p>In terms of real-world applications, POINTS1.5 performs well in several aspects such as OCR of complex scenes, reasoning ability, key information extraction, Latex formula extraction, math, image translation, object recognition, and so on.<\/p>","protected":false},"excerpt":{"rendered":"<p>Two months after the release of POINT1.0, Tencent announced the release of POINTS1.5 on December 14th. 1AI noticed that POINTS1.5 still follows the classic LLaVA architecture used in POINTS1.0, which consists of a vision encoder, a projector and a large language model. According to the official introduction, this generation of POINTS models not only takes into account the idea of prioritizing efficiency that POINTS1.0 insisted on, but also greatly enhances the performance of the model. According to Tencent, POINTS1.5-7B tops the list of the world's top open source models below 10B, surpassing models such as Qwen2, Qwen3, Qwen4, Qwen5, Qwen6, Qwen7, Qwen8, and Qwen9.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[602,722,323],"collection":[],"class_list":["post-25141","post","type-post","status-publish","format-standard","hentry","category-news","tag-602","tag-722","tag-323"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/25141","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=25141"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/25141\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=25141"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=25141"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=25141"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=25141"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}