{"id":35288,"date":"2025-05-15T12:10:16","date_gmt":"2025-05-15T04:10:16","guid":{"rendered":"https:\/\/www.1ai.net\/?p=35288"},"modified":"2025-05-15T12:10:26","modified_gmt":"2025-05-15T04:10:26","slug":"weclone%ef%bc%9aai%e6%95%b0%e5%ad%97%e5%88%86%e8%ba%ab%e7%9a%84%e5%bc%80%e6%ba%90%e5%b7%a5%e5%85%b7%ef%bc%8c%e7%94%a8%e5%be%ae%e4%bf%a1%e8%81%8a%e5%a4%a9%e8%ae%b0%e5%bd%95%e6%89%93%e9%80%a0%e4%bd%a0","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/35288.html","title":{"rendered":"WeClone: an open source tool for AI digital doppelgangers, create your own digital doppelganger with WeChat chats"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-35289\" title=\"d6cb0165j00swabji00aod000v900dgp\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/05\/d6cb0165j00swabji00aod000v900dgp.jpg\" alt=\"d6cb0165j00swabji00aod000v900dgp\" width=\"1125\" height=\"484\" \/><\/p>\n<p><a href=\"https:\/\/www.1ai.net\/en\/tag\/weclone\" title=\"_Other Organiser\" target=\"_blank\" >WeClone<\/a>is a<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%bc%80%e6%ba%90\" title=\"[View articles tagged with [open source]]\" target=\"_blank\" >Open Source<\/a>project, which aims to fine-tune the Large Language Model (LLM) through your WeChat chats to create a language style that is highly similar to your<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%95%b0%e5%ad%97%e5%88%86%e8%ba%ab\" title=\"[Sees articles with [digital part] labels]\" target=\"_blank\" >Digital Doppelganger<\/a>.. Use WeChat Chat Records Fine-tuning LLM to fine-tune the language model through the user's own WeChat Chat Records to make it more in line with the individual's language style and habits High-quality voice cloning:Combine WeChat voice messages and 0.5B large models to realize high-quality voice cloning Binding WeChat Robot to bind the fine-tuned model to the WeChat Robot to realize auto-replies and other functions to form the individual's digital alter-ego. .<\/p>\n<h2><span id=\"lwptoc2\"><strong>WeClone Features<\/strong><\/span><\/h2>\n<ol>\n<li>Covers a full-link solution for building digital doppelgangers, including chat data export, preprocessing, model training, deployment<\/li>\n<li>USE MICRO-MAIL CHATS TO FINE-TUNE LLM TO MAKE THE BIG MODEL TASTE LIKE THAT<\/li>\n<li>Bind to WeChat, QQ, Telegram, Enterprise Micro, Flying Book Robot to realize your own digital diversion<\/li>\n<li>Privacy information filtering, localized fine-tuning deployment, data security and control<\/li>\n<\/ol>\n<p>Official website link:<a href=\"https:\/\/github.com\/xming521\/WeClone\">https:\/\/github.com\/xming521\/WeClone<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>WeClone is an open-source project that aims to create a digital subdivision that is highly similar to your language style through your micro-intelligence chat to record the fine-tuning of the LLM. The fine-tuned LLM is used to fine-tune the language model through the user ' s own WITC record to make it more consistent with the language style and habits of the individual, so as to make it more consistent with high-quality voice cloning: a combination of WILD and a large 0.5B model, a high-quality voice cloning of micro-trusted robots, a fine-tune model bound to micro-intelligence robots, automatic response, etc., and a digital subdivision of the individual. The WeClone function covers a full-link scheme for the construction of digital alternations, including chat data export, pre-processing, model training, deployment, fine-tuning LLM using micro-mail chats to record large models &amp; #8<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[138,140],"tags":[6606,219,1130],"collection":[],"class_list":["post-35288","post","type-post","status-publish","format-standard","hentry","category-product","category-qita","tag-weclone","tag-219","tag-1130"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/35288","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=35288"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/35288\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=35288"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=35288"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=35288"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=35288"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}