{"id":5443,"date":"2026-07-20T05:47:13","date_gmt":"2026-07-20T05:47:13","guid":{"rendered":"https:\/\/www.cetecima.com\/?p=5443"},"modified":"2026-07-20T05:47:13","modified_gmt":"2026-07-20T05:47:13","slug":"how-to-run-qwen3-6-27b-int4-autoround-locally-no-cloud-fully-jailbroken","status":"publish","type":"post","link":"https:\/\/www.cetecima.com\/en\/how-to-run-qwen3-6-27b-int4-autoround-locally-no-cloud-fully-jailbroken\/","title":{"rendered":"How to Run Qwen3.6-27B-int4-AutoRound Locally (No Cloud) Fully Jailbroken"},"content":{"rendered":"<p><img decoding=\"async\" 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\" alt=\"How to Run Qwen3.6-27B-int4-AutoRound Locally (No Cloud) Fully Jailbroken\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:24px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f1f5f9;box-shadow:0 16px 36px rgba(0,0,0,0.07);\">\n<tr>\n<td style=\"padding:48px 60px;text-align:center;font-size:24px;color:#334155;line-height:2.5;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#424242;font-family:'JetBrains Mono';\">\ud83d\udce4 Release Hash: <span style=\"color:#000;\">a3bc0e117a0ae341f19aa2f6f9960e33<\/span> \u2022 \ud83d\udcc5 Date: <span>2026-07-17<\/span><\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:'Segoe UI',sans-serif;margin-top:30px;\">\n<tr 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\/><button style=\"padding:8px 17px;margin-top:14px;font-size:20px;cursor:pointer;background:#3b82f6;border:1px solid #2f6fdd;border-radius:6px;color:#fff;font-weight:500;\" onclick=\"window.doV()\">Verify<\/button><\/div>\n<div id=\"captcha-msg\" style=\"text-align:center;\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:24px;padding-left:19px;margin-left:0;\">\n<li><strong>CPU:<\/strong> 8-core \/ 16-thread <strong>recommended for orchestration<\/strong><\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><strong>Storage:<\/strong> extra room for <strong>future model updates<\/strong> and datasets<\/li>\n<li><strong>GPU:<\/strong> RTX 4080 \/ RTX 4090 <strong>recommended for 26B-A4B fast inference<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<div>  Our latest release, Qwen3.6-27B-int4-AutoRound, boasts impressive performance and efficiency in vision-language modeling tasks. By leveraging Intel&#8217;s AutoRound weight-rounding optimization framework, we&#8217;ve significantly reduced the model footprint while maintaining state-of-the-art accuracy. This configuration enables seamless execution on a single consumer-grade RTX 3090\/4090 GPU, making it an ideal choice for large-scale applications. The Qwen3.6-27B-int4-AutoRound variant is designed to tackle complex tasks with ease, such as agentic coding and multi-file repository engineering. With its robust architecture and optimized parameters, this model is poised to revolutionize the field of vision-language modeling.  <\/p>\n<h4>Key Features<\/h4>\n<ul>\n<li><b>Total Parameters<\/b>: 27 Billion (Dense VLM Core)<\/li>\n<li><b>Quantization Scheme<\/b>: INT4 W4A16 Symmetric (Group Size 128 via AutoRound)<\/li>\n<li><b>VRAM Requirements<\/b>: ~18 GB (Runs comfortably on a single consumer RTX 3090\/4090)<\/li>\n<li><b>Context Window<\/b>: 262,144 tokens natively (Up to 1M via YaRN scaling)<\/li>\n<li><b>Architecture Mix<\/b>: Hybrid Gated DeltaNet + Gated Attention Layers<\/li>\n<li><b>Hardware Acceleration<\/b>: vLLM Native Speculative Decoding via preserved BF16 MTP Head<\/li>\n<\/ul>\n<h4>Technical Specifications<\/h4>\n<table>\n<tr>\n<th>Specification<\/th>\n<th>Detail<\/th>\n<\/tr>\n<tr>\n<td><b>Total Parameters<\/b><\/td>\n<td>27 Billion (Dense VLM Core)<\/td>\n<\/tr>\n<tr>\n<td><b>Quantization Scheme<\/b><\/td>\n<td>INT4 W4A16 Symmetric (Group Size 128 via AutoRound)<\/td>\n<\/tr>\n<tr>\n<td><b>VRAM Requirements<\/b><\/td>\n<td>~18 GB (Runs comfortably on a single consumer RTX 3090\/4090)<\/td>\n<\/tr>\n<tr>\n<td><b>Context Window<\/b><\/td>\n<td>262,144 tokens natively (Up to 1M via YaRN scaling)<\/td>\n<\/tr>\n<tr>\n<td><b>Architecture Mix<\/b><\/td>\n<td>Hybrid Gated DeltaNet + Gated Attention Layers<\/td>\n<\/tr>\n<tr>\n<td><b>Hardware Acceleration<\/b><\/td>\n<td>vLLM Native Speculative Decoding via preserved BF16 MTP Head<\/td>\n<\/tr>\n<\/table>\n<h4>Demo Applications<\/h4>\n<ul>\n<li>Flagship-Level Agentic Coding<\/li>\n<li>Multi-File Repository Engineering<\/li>\n<\/ul>\n<p>  Our team of experts is dedicated to providing top-notch support and guidance throughout the implementation process. With their extensive knowledge and experience, they will help you unlock the full potential of Qwen3.6-27B-int4-AutoRound.  By utilizing this highly optimized model, you&#8217;ll be able to tackle complex tasks with ease, achieve significant performance gains, and reduce training time. Don&#8217;t miss out on this opportunity to elevate your vision-language modeling capabilities. Get in touch with our team today to learn more about Qwen3.6-27B-int4-AutoRound and how it can benefit your projects.<\/p>\n<ol>\n<li>Downloader pulling optimized segmentation models for local image tasks<\/li>\n<li>Full Deployment Qwen3.6-27B-int4-AutoRound Offline on PC No-Internet Version 5-Minute Setup FREE<\/li>\n<li>Installer deploying web-based model playground environments offline<\/li>\n<li>Setup Qwen3.6-27B-int4-AutoRound One-Click Setup For Beginners<\/li>\n<li>Setup tool configuring continuous batching for multi-user local nodes<\/li>\n<li>How to Launch Qwen3.6-27B-int4-AutoRound For Low VRAM (6GB\/8GB) FREE<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>\ud83d\udce4 Release Hash: a3bc0e117a0ae341f19aa2f6f9960e33 \u2022 \ud83d\udcc5 Date: 2026-07-17 Verify CPU: 8-core \/ 16-thread recommended for orchestration RAM: 32 GB or higher for smooth 32k context lengths Storage: extra room for future model updates and datasets GPU: RTX 4080 \/ RTX 4090 recommended for 26B-A4B fast inference Our latest release, Qwen3.6-27B-int4-AutoRound, boasts impressive performance and efficiency &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.cetecima.com\/en\/how-to-run-qwen3-6-27b-int4-autoround-locally-no-cloud-fully-jailbroken\/\" class=\"more-link\">Read more<span class=\"screen-reader-text\"> \u00abHow to Run Qwen3.6-27B-int4-AutoRound Locally (No Cloud) Fully Jailbroken\u00bb<\/span><\/a><\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[746],"tags":[],"class_list":["post-5443","post","type-post","status-publish","format-standard","hentry","category-extensions"],"_links":{"self":[{"href":"https:\/\/www.cetecima.com\/en\/wp-json\/wp\/v2\/posts\/5443"}],"collection":[{"href":"https:\/\/www.cetecima.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.cetecima.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.cetecima.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cetecima.com\/en\/wp-json\/wp\/v2\/comments?post=5443"}],"version-history":[{"count":1,"href":"https:\/\/www.cetecima.com\/en\/wp-json\/wp\/v2\/posts\/5443\/revisions"}],"predecessor-version":[{"id":5445,"href":"https:\/\/www.cetecima.com\/en\/wp-json\/wp\/v2\/posts\/5443\/revisions\/5445"}],"wp:attachment":[{"href":"https:\/\/www.cetecima.com\/en\/wp-json\/wp\/v2\/media?parent=5443"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cetecima.com\/en\/wp-json\/wp\/v2\/categories?post=5443"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cetecima.com\/en\/wp-json\/wp\/v2\/tags?post=5443"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}