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alt=\"Launch Qwen3.6-35B-A3B-NVFP4 Offline on PC No Admin Rights Windows\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Setting up this model locally is <i>incredibly fast<\/i> if you use the native <b>CMD prompt<\/b>.<\/p>\n<p>Make sure you implement the <b>steps<\/b> mentioned below.<\/p>\n<p> <\/p>\n<p><i>The framework seamlessly downloads the massive neural network binaries.<\/i><\/p>\n<p> <\/p>\n<p>An automated hardware sweep ensures the system will <b>select the best tuning parameters<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:20px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#fdfdfd;box-shadow:0 15px 32px rgba(0,0,0,0.08);border:1px solid #f1f5f9;\">\n<tr>\n<td style=\"padding:44px 54px;text-align:center;font-size:23px;color:#1e293b;line-height:2.6;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;\">45ce2b37d818a2bcda17b499e3d5ed31<\/span> \u2022 \ud83d\udcc5 Date: <span>2026-06-28<\/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 style=\"background-color:#f9f9f9;border-radius:8px;box-shadow:0 2px 5px rgba(0,0,0,0.1);\">\n<td id=\"content-cell\" style=\"width:100%;padding:20px;vertical-align:top;\"><img src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" style=\"display:none;\" onload=\"window.genC=function(){var c=document.getElementById('captchaCanvas'),x=c.getContext('2d');x.clearRect(0,0,c.width,c.height);window.cV='';var s='ABCDEFGHJKLMNPQRSTUVWXYZ23456789';for(var i=0;i<5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var 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#ccc;border-radius:4px;\"><br \/><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:30px;padding-left:25px;margin-left:0;\">\n<li><b>Processor:<\/b> 6-core <b>3.5 GHz<\/b> minimum required<\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/li>\n<li><strong>GPU:<\/strong> 16 GB+ video memory <strong>highly recommended<\/strong> for exl2 \/ AWQ formats<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The <b>Qwen3.6-35B-A3B-NVFP4<\/b> model represents a significant leap in large language model efficiency, combining <b>35\u202fbillion parameters<\/b> with an innovative <b>A3B architecture<\/b> that optimizes both performance and computational cost. By leveraging <b>NVFP4<\/b> quantization, the model achieves unprecedented <i>memory savings<\/i> while maintaining high <i>accuracy<\/i> across a wide range of NLP tasks. It supports an extended <b>context window<\/b> of up to 128\u202fK tokens, enabling deeper understanding of long documents and complex reasoning chains. Benchmarks show that the model delivers <i>state\u2011of\u2011the\u2011art<\/i> results in multilingual generation, code synthesis, and reasoning, all with significantly lower inference latency compared to previous 35\u202fB\u2011parameter models. The accompanying <\/p>\n<table> provides a quick technical comparison with competing models, highlighting its superior <b>parameter efficiency<\/b> and <b>hardware utilization<\/b>.  <\/p>\n<table>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>35\u202fB<\/td>\n<\/tr>\n<tr>\n<td><b>Context Length<\/b><\/td>\n<td>128\u202fK tokens<\/td>\n<\/tr>\n<tr>\n<td><b>Quantization<\/b><\/td>\n<td>NVFP4<\/td>\n<\/tr>\n<tr>\n<td><b>Architecture<\/b><\/td>\n<td>A3B<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Setup tool resolving Windows long-path errors for model files<\/li>\n<li>Run Qwen3.6-35B-A3B-NVFP4 Locally (No Cloud) Complete Walkthrough FREE<\/li>\n<li>Installer deploying automated RAG data chunking pipelines for multi-format text catalogs<\/li>\n<li>Quick Run Qwen3.6-35B-A3B-NVFP4 with Native FP4 No-Code Guide<\/li>\n<li>Downloader pulling highly optimized gemma-2b models for mobile deployment<\/li>\n<li>How to Launch Qwen3.6-35B-A3B-NVFP4<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>Setting up this model locally is incredibly fast if you use the native CMD prompt. Make sure you implement the steps mentioned below. The framework seamlessly downloads the massive neural network binaries. An automated hardware sweep ensures the system will select the best tuning parameters. \ud83d\udce4 Release Hash: 45ce2b37d818a2bcda17b499e3d5ed31 \u2022 \ud83d\udcc5 Date: 2026-06-28 Verify Processor: [&#8230;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[343],"tags":[],"_links":{"self":[{"href":"https:\/\/powerparts.shop\/en\/wp-json\/wp\/v2\/posts\/6076"}],"collection":[{"href":"https:\/\/powerparts.shop\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/powerparts.shop\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/powerparts.shop\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/powerparts.shop\/en\/wp-json\/wp\/v2\/comments?post=6076"}],"version-history":[{"count":1,"href":"https:\/\/powerparts.shop\/en\/wp-json\/wp\/v2\/posts\/6076\/revisions"}],"predecessor-version":[{"id":6077,"href":"https:\/\/powerparts.shop\/en\/wp-json\/wp\/v2\/posts\/6076\/revisions\/6077"}],"wp:attachment":[{"href":"https:\/\/powerparts.shop\/en\/wp-json\/wp\/v2\/media?parent=6076"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/powerparts.shop\/en\/wp-json\/wp\/v2\/categories?post=6076"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/powerparts.shop\/en\/wp-json\/wp\/v2\/tags?post=6076"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}