{"id":7322,"date":"2024-04-07T09:47:31","date_gmt":"2024-04-07T01:47:31","guid":{"rendered":"https:\/\/www.1ai.net\/?p=7322"},"modified":"2024-04-07T09:47:31","modified_gmt":"2024-04-07T01:47:31","slug":"%e9%80%9a%e4%b9%89%e5%8d%83%e9%97%ae%e5%bc%80%e6%ba%90qwen1-5-32b-%e6%a8%a1%e5%9e%8b%e7%b3%bb%e5%88%97","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/7322.html","title":{"rendered":"Tongyi Qianwen open source Qwen1.5-32B model series"},"content":{"rendered":"<p><a href=\"https:\/\/www.1ai.net\/en\/tag\/%e9%80%9a%e4%b9%89%e5%8d%83%e9%97%ae\" title=\"[View articles tagged with [Tongyi Thousand Questions]]\" target=\"_blank\" >Thousand Questions on Tongyi<\/a>team<span class=\"spamTxt\">up to date<\/span>The Qwen1.5-32B model series was released, which includes the Qwen1.5-32B and Qwen1.5-32B-Chat.<\/p>\n<p class=\"article-content__img\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-7323\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/04\/6384807981647621116478691.jpg\" alt=\"\" width=\"1000\" height=\"752\" \/><\/p>\n<p>These models are basically the same as the previous Qwen1.5 series in terms of model architecture, but the number of parameters is reduced to 32B, aiming to provide a more efficient and affordable solution. Qwen1.5-32B performs well in basic language model capabilities, conversation capabilities, and multilingual capabilities, and is comparable to the current<span class=\"spamTxt\">Optimal<\/span>Compared with the 30B model, the performance is excellent.<\/p>\n<p>This release aims to address the weak capabilities of the 14B model in agent scenarios and the high inference cost of the 72B model.<\/p>\n<p><strong>Qwen1.5-32B:<\/strong><\/p>\n<p>https:\/\/modelscope.cn\/models\/qwen\/Qwen1.5-32B<\/p>\n<p><strong>Qwen1.5-32B-Chat:<\/strong><\/p>\n<p>https:\/\/modelscope.cn\/models\/qwen\/Qwen1.5-32B-Chat<\/p>\n<p><strong>Qwen1.5-32B-Chat-GPTQ-Int4:<\/strong><\/p>\n<p>https:\/\/modelscope.cn\/models\/qwen\/Qwen1.5-32B-Chat-GPTQ-Int4<\/p>\n<p><strong>Qwen1.5-32B-Chat-AWQ:<\/strong><\/p>\n<p>https:\/\/modelscope.cn\/models\/qwen\/Qwen1.5-32B-Chat-AWQ<\/p>\n<p><strong>Qwen1.5-32B-Chat-GGUF:<\/strong><\/p>\n<p>https:\/\/modelscope.cn\/models\/qwen\/Qwen1.5-32B-Chat-GGUF<\/p>","protected":false},"excerpt":{"rendered":"<p>The Qwen1.5-32B model series, which includes Qwen1.5-32B and Qwen1.5-32B-Chat, was recently released by the Tun-Tun-Tu team. These models are basically the same in the model structure as the previous Qwen1.5 series, but are reduced to 32B and are designed to provide more efficient and cost-effective solutions. Qwen1.5-32B has performed well in terms of basic language modelling, dialogue and multilingualism, compared to the current best 30B model. This release was designed to address the weak capacity of the 14B model in the context of an intelligent scene and the high cost of reasoning for the 72B model. Qwen1.5-32B: https:\/\/moderscope.c<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[219,331],"collection":[],"class_list":["post-7322","post","type-post","status-publish","format-standard","hentry","category-news","tag-219","tag-331"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/7322","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=7322"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/7322\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=7322"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=7322"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=7322"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=7322"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}